{"class":"mcp","segment":"mcps","name":"MCP Servers","url":"https://www.scrums.com/catalog/mcps","count":101,"generated_at":"2026-09-16T00:05:45.197Z","items":[{"slug":"amazon-cloudwatch-mcp-server","url":"https://www.scrums.com/catalog/mcps/amazon-cloudwatch-mcp-server","title":"Amazon CloudWatch MCP Server","summary":"Amazon CloudWatch MCP Server is a first-party MCP surface for cloudWatch metrics, logs and monitoring context for AI agents. The engineering-leadership use case is straightforward: bring AWS-native telemetry into engineering incident and troubleshooting workflows.","updated_at":"2026-09-14T20:34:58.424261+00:00","lifecycle_editorial":"draft","tags":["mcp","aws","cloudwatch","logs","metrics","observability"]},{"slug":"amazon-dynamodb-mcp-server","url":"https://www.scrums.com/catalog/mcps/amazon-dynamodb-mcp-server","title":"Amazon DynamoDB MCP Server","summary":"For teams using AWS, Amazon DynamoDB MCP Server exposes dynamoDB tables and database-related context for AI clients to MCP-capable engineering tools. In an engineering organization, this can let application engineers inspect DynamoDB-backed systems while coding and debugging.","updated_at":"2026-09-14T20:34:58.424261+00:00","lifecycle_editorial":"draft","tags":["mcp","aws","dynamodb","database","nosql","serverless"]},{"slug":"amazon-ecs-mcp-server","url":"https://www.scrums.com/catalog/mcps/amazon-ecs-mcp-server","title":"Amazon ECS MCP Server","summary":"Amazon ECS MCP Server gives approved AI clients access to amazon ECS service, task and container operational context. It is most valuable where teams want to let agents inspect ECS workloads and troubleshoot deployments using AWS-native context.","updated_at":"2026-09-14T20:34:58.424261+00:00","lifecycle_editorial":"draft","tags":["mcp","aws","ecs","containers","services","cloud"]},{"slug":"amazon-eks-mcp-server","url":"https://www.scrums.com/catalog/mcps/amazon-eks-mcp-server","title":"Amazon EKS MCP Server","summary":"Amazon EKS MCP Server turns amazon EKS cluster and Kubernetes operational tooling for AI agents into a structured tool surface for AI assistants and agents. For a CTO or Head of Engineering, the practical value is to give platform engineers an agentic interface for diagnosing and managing EKS environments.","updated_at":"2026-09-14T20:34:58.424261+00:00","lifecycle_editorial":"draft","tags":["mcp","aws","eks","kubernetes","clusters","platform engineering"]},{"slug":"atlassian-rovo-mcp-server","url":"https://www.scrums.com/catalog/mcps/atlassian-rovo-mcp-server","title":"Atlassian Rovo MCP Server","summary":"Atlassian Rovo MCP Server is a first-party MCP surface for jira, Confluence and supported Atlassian work context for agentic search and actions. The engineering-leadership use case is straightforward: connect engineering planning, tickets and technical knowledge without building custom Jira/Confluence adapters.","updated_at":"2026-09-14T20:34:58.424261+00:00","lifecycle_editorial":"draft","tags":["mcp","atlassian","jira","confluence","planning","knowledge"]},{"slug":"aws-iam-mcp-server","url":"https://www.scrums.com/catalog/mcps/aws-iam-mcp-server","title":"AWS IAM MCP Server","summary":"AWS IAM MCP Server turns aWS IAM context and tooling for identities, roles and access analysis into a structured tool surface for AI assistants and agents. For a CTO or Head of Engineering, the practical value is to give cloud/security engineers an agent interface to reason about AWS permissions and access paths.","updated_at":"2026-09-14T20:34:58.424261+00:00","lifecycle_editorial":"draft","tags":["mcp","aws","iam","identity","permissions","security"]},{"slug":"aws-infrastructure-as-code-mcp-server","url":"https://www.scrums.com/catalog/mcps/aws-infrastructure-as-code-mcp-server","title":"AWS Infrastructure as Code MCP Server","summary":"For teams using AWS, AWS Infrastructure as Code MCP Server exposes aWS IaC guidance and tools for generating and working with infrastructure definitions to MCP-capable engineering tools. In an engineering organization, this can help cloud agents author AWS infrastructure with AWS-specific context and patterns.","updated_at":"2026-09-14T20:34:58.424261+00:00","lifecycle_editorial":"draft","tags":["mcp","aws","infrastructure as code","cloudformation","cdk","platform engineering"]},{"slug":"aws-knowledge-mcp-server","url":"https://www.scrums.com/catalog/mcps/aws-knowledge-mcp-server","title":"AWS Knowledge MCP Server","summary":"AWS Knowledge MCP Server is a first-party MCP surface for aWS knowledge and documentation context through a managed remote MCP server. The engineering-leadership use case is straightforward: ground engineering agents in current AWS guidance without deploying a local documentation adapter.","updated_at":"2026-09-14T20:34:58.424261+00:00","lifecycle_editorial":"draft","tags":["mcp","aws","documentation","knowledge","cloud architecture","developers"]},{"slug":"aws-serverless-mcp-server","url":"https://www.scrums.com/catalog/mcps/aws-serverless-mcp-server","title":"AWS Serverless MCP Server","summary":"Use AWS Serverless MCP Server to connect engineering agents with aWS serverless development context covering common Lambda/serverless workflows. The key operational benefit is to give developers an AWS-native assistant surface for building and troubleshooting serverless applications.","updated_at":"2026-09-14T20:34:58.424261+00:00","lifecycle_editorial":"draft","tags":["mcp","aws","serverless","lambda","event driven","cloud"]},{"slug":"azure-devops-mcp-server","url":"https://www.scrums.com/catalog/mcps/azure-devops-mcp-server","title":"Azure DevOps MCP Server","summary":"For teams using Microsoft, Azure DevOps MCP Server exposes azure DevOps work items, repositories, pull requests, builds and test-plan context to MCP-capable engineering tools. In an engineering organization, this can let engineering agents operate across Microsoft-centric planning, source control and delivery workflows.","updated_at":"2026-09-14T20:34:58.424261+00:00","lifecycle_editorial":"draft","tags":["mcp","azure devops","boards","repos","pipelines","test plans"]},{"slug":"azure-mcp-server","url":"https://www.scrums.com/catalog/mcps/azure-mcp-server","title":"Azure MCP Server","summary":"Azure MCP Server turns unified tools for interacting with Azure resources and services using Azure identity into a structured tool surface for AI assistants and agents. For a CTO or Head of Engineering, the practical value is to give platform teams a common AI-facing control surface across Azure instead of many bespoke service integrations.","updated_at":"2026-09-14T20:34:58.424261+00:00","lifecycle_editorial":"draft","tags":["mcp","azure","cloud","infrastructure","rbac","platform engineering"]},{"slug":"browserstack-mcp-server","url":"https://www.scrums.com/catalog/mcps/browserstack-mcp-server","title":"BrowserStack MCP Server","summary":"For teams using BrowserStack, BrowserStack MCP Server exposes browserStack real-device and browser testing products, sessions and test-management workflows to MCP-capable engineering tools. In an engineering organization, this can bring cross-browser and mobile validation into agent-driven development and QA loops.","updated_at":"2026-09-14T20:34:58.424261+00:00","lifecycle_editorial":"draft","tags":["mcp","browserstack","testing","qa","real devices","browser automation"]},{"slug":"buildkite-mcp-server","url":"https://www.scrums.com/catalog/mcps/buildkite-mcp-server","title":"Buildkite MCP Server","summary":"Buildkite MCP Server is a first-party MCP surface for buildkite pipelines, builds, jobs and operational CI context through a remote MCP endpoint. The engineering-leadership use case is straightforward: give engineering teams a governed way for agents to inspect and troubleshoot delivery pipelines.","updated_at":"2026-09-14T20:34:58.424261+00:00","lifecycle_editorial":"draft","tags":["mcp","buildkite","ci cd","pipelines","builds","release engineering"]},{"slug":"circleci-mcp-server","url":"https://www.scrums.com/catalog/mcps/circleci-mcp-server","title":"CircleCI MCP Server","summary":"Use CircleCI MCP Server to connect engineering agents with build, pipeline and CircleCI delivery context exposed to AI coding and operations clients. The key operational benefit is to let agents investigate CI failures and delivery state without engineers switching between IDE and CI console.","updated_at":"2026-09-14T20:34:58.424261+00:00","lifecycle_editorial":"draft","tags":["mcp","circleci","ci cd","pipelines","builds","developer productivity"]},{"slug":"clickhouse-cloud-mcp-server","url":"https://www.scrums.com/catalog/mcps/clickhouse-cloud-mcp-server","title":"ClickHouse Cloud MCP Server","summary":"For teams using ClickHouse, ClickHouse Cloud MCP Server exposes clickHouse Cloud data querying plus service, backup, ClickPipe and billing visibility to MCP-capable engineering tools. In an engineering organization, this can give data and platform agents a live analytical view of ClickHouse Cloud without custom API wrappers.","updated_at":"2026-09-14T20:34:58.424261+00:00","lifecycle_editorial":"draft","tags":["mcp","clickhouse","analytics","sql","observability","data platform"]},{"slug":"clickstack-mcp-server","url":"https://www.scrums.com/catalog/mcps/clickstack-mcp-server","title":"ClickStack MCP Server","summary":"ClickStack MCP Server turns clickStack logs, traces, metrics, dashboards, alerts and saved searches into a structured tool surface for AI assistants and agents. For a CTO or Head of Engineering, the practical value is to bring ClickHouse-native observability context into agents that troubleshoot software systems.","updated_at":"2026-09-14T20:34:58.424261+00:00","lifecycle_editorial":"draft","tags":["mcp","clickstack","observability","logs","traces","clickhouse"]},{"slug":"cloudflare-ai-gateway-mcp-server","url":"https://www.scrums.com/catalog/mcps/cloudflare-ai-gateway-mcp-server","title":"Cloudflare AI Gateway MCP Server","summary":"Cloudflare AI Gateway MCP Server is a first-party MCP surface for aI Gateway operational context and controls for model traffic running through Cloudflare. The engineering-leadership use case is straightforward: let AI platform teams inspect gateway usage, model routing and operational state from agents.","updated_at":"2026-09-14T20:34:58.424261+00:00","lifecycle_editorial":"draft","tags":["mcp","cloudflare ai gateway","llm","ai infrastructure","routing","observability"]},{"slug":"cloudflare-api-mcp-server","url":"https://www.scrums.com/catalog/mcps/cloudflare-api-mcp-server","title":"Cloudflare API MCP Server","summary":"Use Cloudflare API MCP Server to connect engineering agents with search and execute across the Cloudflare API through a managed MCP endpoint. The key operational benefit is to give platform agents broad Cloudflare capability while keeping a single governed integration point.","updated_at":"2026-09-14T20:34:58.424261+00:00","lifecycle_editorial":"draft","tags":["mcp","cloudflare","api","edge","security","platform engineering"]},{"slug":"cloudflare-audit-logs-mcp-server","url":"https://www.scrums.com/catalog/mcps/cloudflare-audit-logs-mcp-server","title":"Cloudflare Audit Logs MCP Server","summary":"For teams using Cloudflare, Cloudflare Audit Logs MCP Server exposes cloudflare audit-log access for account and configuration changes to MCP-capable engineering tools. In an engineering organization, this can give security and platform agents a searchable record of who changed critical edge settings.","updated_at":"2026-09-14T20:34:58.424261+00:00","lifecycle_editorial":"draft","tags":["mcp","cloudflare","audit logs","governance","security","change history"]},{"slug":"cloudflare-browser-run-mcp-server","url":"https://www.scrums.com/catalog/mcps/cloudflare-browser-run-mcp-server","title":"Cloudflare Browser Run MCP Server","summary":"Use Cloudflare Browser Run MCP Server to connect engineering agents with cloudflare Browser Rendering / browser-run capabilities exposed through MCP. The key operational benefit is to give agents a cloud-hosted browser surface for testing, verification and web interaction.","updated_at":"2026-09-14T20:34:58.424261+00:00","lifecycle_editorial":"draft","tags":["mcp","cloudflare browser","browser automation","testing","rendering"]},{"slug":"cloudflare-container-mcp-server","url":"https://www.scrums.com/catalog/mcps/cloudflare-container-mcp-server","title":"Cloudflare Container MCP Server","summary":"Cloudflare Container MCP Server gives approved AI clients access to cloudflare Containers context and operations for containerized workloads on the platform. It is most valuable where teams want to let platform agents inspect and operate container workloads alongside Workers and edge services.","updated_at":"2026-09-14T20:34:58.424261+00:00","lifecycle_editorial":"draft","tags":["mcp","cloudflare containers","containers","platform engineering","edge"]},{"slug":"cloudflare-dex-mcp-server","url":"https://www.scrums.com/catalog/mcps/cloudflare-dex-mcp-server","title":"Cloudflare DEX MCP Server","summary":"Cloudflare DEX MCP Server gives approved AI clients access to cloudflare Digital Experience Monitoring context for end-user connectivity and experience. It is most valuable where teams want to give IT/platform agents evidence about user experience when diagnosing application complaints.","updated_at":"2026-09-14T20:34:58.424261+00:00","lifecycle_editorial":"draft","tags":["mcp","cloudflare dex","digital experience","network","monitoring","zero trust"]},{"slug":"cloudflare-dns-analytics-mcp-server","url":"https://www.scrums.com/catalog/mcps/cloudflare-dns-analytics-mcp-server","title":"Cloudflare DNS Analytics MCP Server","summary":"Cloudflare DNS Analytics MCP Server turns dNS analytics data for zones managed on Cloudflare into a structured tool surface for AI assistants and agents. For a CTO or Head of Engineering, the practical value is to help network and platform engineers investigate DNS behavior directly from their AI tools.","updated_at":"2026-09-14T20:34:58.424261+00:00","lifecycle_editorial":"draft","tags":["mcp","cloudflare","dns","analytics","networking","reliability"]},{"slug":"cloudflare-graphql-mcp-server","url":"https://www.scrums.com/catalog/mcps/cloudflare-graphql-mcp-server","title":"Cloudflare GraphQL MCP Server","summary":"Cloudflare GraphQL MCP Server is a first-party MCP surface for cloudflare GraphQL analytics capabilities through an MCP interface. The engineering-leadership use case is straightforward: let agents assemble Cloudflare analytics questions without each team learning the GraphQL schema.","updated_at":"2026-09-14T20:34:58.424261+00:00","lifecycle_editorial":"draft","tags":["mcp","cloudflare","graphql","analytics","edge","api"]},{"slug":"cloudflare-observability-mcp-server","url":"https://www.scrums.com/catalog/mcps/cloudflare-observability-mcp-server","title":"Cloudflare Observability MCP Server","summary":"Cloudflare Observability MCP Server turns cloudflare observability context for troubleshooting applications and edge workloads into a structured tool surface for AI assistants and agents. For a CTO or Head of Engineering, the practical value is to bring edge telemetry into incident and development agents without custom analytics adapters.","updated_at":"2026-09-14T20:34:58.424261+00:00","lifecycle_editorial":"draft","tags":["mcp","cloudflare","observability","logs","edge","troubleshooting"]},{"slug":"cloudflare-one-casb-mcp-server","url":"https://www.scrums.com/catalog/mcps/cloudflare-one-casb-mcp-server","title":"Cloudflare One CASB MCP Server","summary":"Use Cloudflare One CASB MCP Server to connect engineering agents with cloudflare One CASB security findings and SaaS posture context. The key operational benefit is to bring SaaS-security posture into security agents that support engineering organizations.","updated_at":"2026-09-14T20:34:58.424261+00:00","lifecycle_editorial":"draft","tags":["mcp","cloudflare casb","saas security","zero trust","posture","security"]},{"slug":"cloudflare-workers-bindings-mcp-server","url":"https://www.scrums.com/catalog/mcps/cloudflare-workers-bindings-mcp-server","title":"Cloudflare Workers Bindings MCP Server","summary":"Cloudflare Workers Bindings MCP Server is a first-party MCP surface for workers bindings and related resource context for applications running on Cloudflare Workers. The engineering-leadership use case is straightforward: help agents understand and manage the resources bound to serverless applications.","updated_at":"2026-09-14T20:34:58.424261+00:00","lifecycle_editorial":"draft","tags":["mcp","cloudflare workers","bindings","serverless","edge","developer platform"]},{"slug":"cloudflare-workers-builds-mcp-server","url":"https://www.scrums.com/catalog/mcps/cloudflare-workers-builds-mcp-server","title":"Cloudflare Workers Builds MCP Server","summary":"For teams using Cloudflare, Cloudflare Workers Builds MCP Server exposes workers build and deployment pipeline context from Cloudflare to MCP-capable engineering tools. In an engineering organization, this can give agents direct visibility into build state for edge applications.","updated_at":"2026-09-14T20:34:58.424261+00:00","lifecycle_editorial":"draft","tags":["mcp","cloudflare","workers builds","ci cd","deployments","edge"]},{"slug":"confluent-cloud-mcp-servers","url":"https://www.scrums.com/catalog/mcps/confluent-cloud-mcp-servers","title":"Confluent Cloud MCP Servers","summary":"Confluent Cloud MCP Servers turns confluent Cloud environments, Kafka clusters, topics, schemas, connectors and metrics across managed MCP endpoints into a structured tool surface for AI assistants and agents. For a CTO or Head of Engineering, the practical value is to give platform and streaming-data teams direct agent access to Kafka operational context.","updated_at":"2026-09-14T20:34:58.424261+00:00","lifecycle_editorial":"draft","tags":["mcp","confluent","kafka","streaming","schemas","connectors"]},{"slug":"databricks-genie-one-mcp-server","url":"https://www.scrums.com/catalog/mcps/databricks-genie-one-mcp-server","title":"Databricks Genie One MCP Server","summary":"For teams using Databricks, Databricks Genie One MCP Server exposes natural-language access to Genie One over enterprise data with grounded answers and source links to MCP-capable engineering tools. In an engineering organization, this can give engineering leadership conversational access to trusted operational and business data models.","updated_at":"2026-09-14T20:34:58.424261+00:00","lifecycle_editorial":"draft","tags":["mcp","databricks","genie","analytics","natural language","data intelligence"]},{"slug":"databricks-sql-mcp-server","url":"https://www.scrums.com/catalog/mcps/databricks-sql-mcp-server","title":"Databricks SQL MCP Server","summary":"Databricks SQL MCP Server is a first-party MCP surface for aI-generated SQL against Unity Catalog tables with read/write governed by Databricks permissions. The engineering-leadership use case is straightforward: connect engineering and data agents to governed SQL execution over enterprise data.","updated_at":"2026-09-14T20:34:58.424261+00:00","lifecycle_editorial":"draft","tags":["mcp","databricks","sql","unity catalog","data platform","analytics"]},{"slug":"datadog-code-security-mcp-server","url":"https://www.scrums.com/catalog/mcps/datadog-code-security-mcp-server","title":"Datadog Code Security MCP Server","summary":"Use Datadog Code Security MCP Server to connect engineering agents with code-security findings including SAST, secrets, SCA, IaC and software inventory context. The key operational benefit is to put application-security evidence into AI coding workflows before vulnerable changes reach production.","updated_at":"2026-09-14T20:34:58.424261+00:00","lifecycle_editorial":"draft","tags":["mcp","datadog","code security","sast","sca","secrets"]},{"slug":"datadog-mcp-server","url":"https://www.scrums.com/catalog/mcps/datadog-mcp-server","title":"Datadog MCP Server","summary":"Datadog MCP Server gives approved AI clients access to datadog observability data and tools for AI clients across production systems. It is most valuable where teams want to connect coding and operations agents to live telemetry so fixes can be grounded in runtime evidence.","updated_at":"2026-09-14T20:34:58.424261+00:00","lifecycle_editorial":"draft","tags":["mcp","datadog","observability","apm","logs","monitoring"]},{"slug":"digitalocean-app-platform-mcp-server","url":"https://www.scrums.com/catalog/mcps/digitalocean-app-platform-mcp-server","title":"DigitalOcean App Platform MCP Server","summary":"DigitalOcean App Platform MCP Server turns app Platform applications, deployments and service configuration context into a structured tool surface for AI assistants and agents. For a CTO or Head of Engineering, the practical value is to let product engineering teams inspect managed application deployments without custom API tooling.","updated_at":"2026-09-14T20:34:58.424261+00:00","lifecycle_editorial":"draft","tags":["mcp","digitalocean","app platform","deployments","paas","developer platform"]},{"slug":"digitalocean-container-registry-mcp-server","url":"https://www.scrums.com/catalog/mcps/digitalocean-container-registry-mcp-server","title":"DigitalOcean Container Registry MCP Server","summary":"DigitalOcean Container Registry MCP Server is a first-party MCP surface for digitalOcean Container Registry repositories and image context. The engineering-leadership use case is straightforward: let delivery agents trace application deployments back to images and registry state.","updated_at":"2026-09-14T20:34:58.424261+00:00","lifecycle_editorial":"draft","tags":["mcp","digitalocean","container registry","images","containers","devops"]},{"slug":"digitalocean-databases-mcp-server","url":"https://www.scrums.com/catalog/mcps/digitalocean-databases-mcp-server","title":"DigitalOcean Databases MCP Server","summary":"For teams using DigitalOcean, DigitalOcean Databases MCP Server exposes managed database clusters and configuration context on DigitalOcean to MCP-capable engineering tools. In an engineering organization, this can let platform and application agents inspect database infrastructure alongside application deployments.","updated_at":"2026-09-14T20:34:58.424261+00:00","lifecycle_editorial":"draft","tags":["mcp","digitalocean","databases","managed database","postgres","mysql"]},{"slug":"digitalocean-dedicated-inference-mcp-server","url":"https://www.scrums.com/catalog/mcps/digitalocean-dedicated-inference-mcp-server","title":"DigitalOcean Dedicated Inference MCP Server","summary":"For teams using DigitalOcean, DigitalOcean Dedicated Inference MCP Server exposes dedicated Inference resources on DigitalOcean through a service-specific remote MCP endpoint to MCP-capable engineering tools. In an engineering organization, this can give AI platform teams direct agent access to managed inference infrastructure.","updated_at":"2026-09-14T20:34:58.424261+00:00","lifecycle_editorial":"draft","tags":["mcp","digitalocean","inference","ai infrastructure","gpu","model serving"]},{"slug":"digitalocean-documentation-mcp-server","url":"https://www.scrums.com/catalog/mcps/digitalocean-documentation-mcp-server","title":"DigitalOcean Documentation MCP Server","summary":"For teams using DigitalOcean, DigitalOcean Documentation MCP Server exposes current DigitalOcean documentation through a dedicated MCP endpoint to MCP-capable engineering tools. In an engineering organization, this can ground coding and infrastructure agents in authoritative DigitalOcean guidance.","updated_at":"2026-09-14T20:34:58.424261+00:00","lifecycle_editorial":"draft","tags":["mcp","digitalocean","documentation","developer knowledge","cloud","platform"]},{"slug":"digitalocean-droplets-mcp-server","url":"https://www.scrums.com/catalog/mcps/digitalocean-droplets-mcp-server","title":"DigitalOcean Droplets MCP Server","summary":"Use DigitalOcean Droplets MCP Server to connect engineering agents with droplet compute inventory and operations through a dedicated MCP endpoint. The key operational benefit is to let infrastructure agents inspect VM state and configuration across DigitalOcean accounts.","updated_at":"2026-09-14T20:34:58.424261+00:00","lifecycle_editorial":"draft","tags":["mcp","digitalocean","droplets","compute","vm","infrastructure"]},{"slug":"digitalocean-functions-mcp-server","url":"https://www.scrums.com/catalog/mcps/digitalocean-functions-mcp-server","title":"DigitalOcean Functions MCP Server","summary":"DigitalOcean Functions MCP Server is a first-party MCP surface for digitalOcean Functions resources and serverless operational context. The engineering-leadership use case is straightforward: give teams an agent-facing control surface for DigitalOcean serverless workloads.","updated_at":"2026-09-14T20:34:58.424261+00:00","lifecycle_editorial":"draft","tags":["mcp","digitalocean","functions","serverless","faas","cloud"]},{"slug":"digitalocean-insights-mcp-server","url":"https://www.scrums.com/catalog/mcps/digitalocean-insights-mcp-server","title":"DigitalOcean Insights MCP Server","summary":"Use DigitalOcean Insights MCP Server to connect engineering agents with digitalOcean Insights monitoring and operational metrics. The key operational benefit is to bring platform metrics into troubleshooting agents for workloads hosted on DigitalOcean.","updated_at":"2026-09-14T20:34:58.424261+00:00","lifecycle_editorial":"draft","tags":["mcp","digitalocean","insights","monitoring","metrics","observability"]},{"slug":"digitalocean-kubernetes-mcp-server","url":"https://www.scrums.com/catalog/mcps/digitalocean-kubernetes-mcp-server","title":"DigitalOcean Kubernetes MCP Server","summary":"DigitalOcean Kubernetes MCP Server gives approved AI clients access to digitalOcean Kubernetes cluster context and management operations. It is most valuable where teams want to give platform engineers a managed MCP route into DOKS environments.","updated_at":"2026-09-14T20:34:58.424261+00:00","lifecycle_editorial":"draft","tags":["mcp","digitalocean","kubernetes","doks","clusters","platform engineering"]},{"slug":"digitalocean-networking-mcp-server","url":"https://www.scrums.com/catalog/mcps/digitalocean-networking-mcp-server","title":"DigitalOcean Networking MCP Server","summary":"DigitalOcean Networking MCP Server gives approved AI clients access to digitalOcean networking resources and configuration context. It is most valuable where teams want to let platform agents reason across networking dependencies without stitching several APIs together.","updated_at":"2026-09-14T20:34:58.424261+00:00","lifecycle_editorial":"draft","tags":["mcp","digitalocean","networking","vpc","firewall","cloud"]},{"slug":"digitalocean-spaces-mcp-server","url":"https://www.scrums.com/catalog/mcps/digitalocean-spaces-mcp-server","title":"DigitalOcean Spaces MCP Server","summary":"DigitalOcean Spaces MCP Server turns spaces object-storage resources and management context into a structured tool surface for AI assistants and agents. For a CTO or Head of Engineering, the practical value is to give engineering agents visibility into buckets used for application assets and data workflows.","updated_at":"2026-09-14T20:34:58.424261+00:00","lifecycle_editorial":"draft","tags":["mcp","digitalocean","spaces","object storage","s3","cloud"]},{"slug":"digitalocean-volumes-mcp-server","url":"https://www.scrums.com/catalog/mcps/digitalocean-volumes-mcp-server","title":"DigitalOcean Volumes MCP Server","summary":"DigitalOcean Volumes MCP Server turns volumes block-storage resources and operational context into a structured tool surface for AI assistants and agents. For a CTO or Head of Engineering, the practical value is to give platform agents direct visibility into persistent storage attached to cloud workloads.","updated_at":"2026-09-14T20:34:58.424261+00:00","lifecycle_editorial":"draft","tags":["mcp","digitalocean","volumes","block storage","cloud","infrastructure"]},{"slug":"docker-hub-mcp-server","url":"https://www.scrums.com/catalog/mcps/docker-hub-mcp-server","title":"Docker Hub MCP Server","summary":"For teams using Docker, Docker Hub MCP Server exposes docker Hub image metadata, discovery and repository management to MCP-capable engineering tools. In an engineering organization, this can help engineering agents select, inspect and manage container images with authoritative registry context.","updated_at":"2026-09-14T20:34:58.424261+00:00","lifecycle_editorial":"draft","tags":["mcp","docker","containers","registry","images","docker hub"]},{"slug":"dynatrace-mcp-server","url":"https://www.scrums.com/catalog/mcps/dynatrace-mcp-server","title":"Dynatrace MCP Server","summary":"Dynatrace MCP Server turns dynatrace logs, metrics, traces, real-user and dependency context for external agents into a structured tool surface for AI assistants and agents. For a CTO or Head of Engineering, the practical value is to give enterprise operations and engineering agents real-time production context across complex environments.","updated_at":"2026-09-14T20:34:58.424261+00:00","lifecycle_editorial":"draft","tags":["mcp","dynatrace","observability","apm","logs","metrics"]},{"slug":"elastic-agent-builder-mcp-server","url":"https://www.scrums.com/catalog/mcps/elastic-agent-builder-mcp-server","title":"Elastic Agent Builder MCP Server","summary":"Elastic Agent Builder MCP Server is a first-party MCP surface for elastic Agent Builder tools, including ES|QL-backed access to Elasticsearch data. The engineering-leadership use case is straightforward: give external engineering agents a governed interface to Elastic search, observability and custom tools.","updated_at":"2026-09-14T20:34:58.424261+00:00","lifecycle_editorial":"draft","tags":["mcp","elastic","elasticsearch","esql","search","observability"]},{"slug":"figma-mcp-server","url":"https://www.scrums.com/catalog/mcps/figma-mcp-server","title":"Figma MCP Server","summary":"Use Figma MCP Server to connect engineering agents with design context, component information and supported design actions from Figma files. The key operational benefit is to reduce handoff loss between product design and engineering by giving agents direct design-system context.","updated_at":"2026-09-14T20:34:58.424261+00:00","lifecycle_editorial":"draft","tags":["mcp","figma","design system","frontend","design to code","ui"]},{"slug":"github-mcp-server","url":"https://www.scrums.com/catalog/mcps/github-mcp-server","title":"GitHub MCP Server","summary":"GitHub MCP Server gives approved AI clients access to repositories, issues, pull requests, branches, code search and common GitHub workflows. It is most valuable where teams want to give coding agents governed access to the system where engineering work is reviewed and merged.","updated_at":"2026-09-14T20:34:58.424261+00:00","lifecycle_editorial":"draft","tags":["mcp","github","source control","pull requests","code review","issues"]},{"slug":"gitlab-mcp-server","url":"https://www.scrums.com/catalog/mcps/gitlab-mcp-server","title":"GitLab MCP Server","summary":"Use GitLab MCP Server to connect engineering agents with gitLab projects, merge requests, issues and related DevSecOps context across GitLab deployments. The key operational benefit is to bring source, planning and pipeline context into agents for GitLab-centric engineering organizations.","updated_at":"2026-09-14T20:34:58.424261+00:00","lifecycle_editorial":"draft","tags":["mcp","gitlab","merge requests","devsecops","repositories","ci cd"]},{"slug":"google-apigee-api-hub-mcp-server","url":"https://www.scrums.com/catalog/mcps/google-apigee-api-hub-mcp-server","title":"Google Apigee API Hub MCP Server","summary":"For teams using Google Cloud, Google Apigee API Hub MCP Server exposes apigee API Hub catalog and API metadata through MCP to MCP-capable engineering tools. In an engineering organization, this can give engineering agents authoritative API inventory and lifecycle context.","updated_at":"2026-09-14T20:34:58.424261+00:00","lifecycle_editorial":"draft","tags":["mcp","google cloud","apigee","api hub","api management","governance"]},{"slug":"google-bigquery-mcp-server","url":"https://www.scrums.com/catalog/mcps/google-bigquery-mcp-server","title":"Google BigQuery MCP Server","summary":"Google BigQuery MCP Server is a first-party MCP surface for bigQuery data and analytics tools through Google Cloud remote MCP servers. The engineering-leadership use case is straightforward: give data-aware engineering agents governed SQL/analytics access through IAM.","updated_at":"2026-09-14T20:34:58.424261+00:00","lifecycle_editorial":"draft","tags":["mcp","google cloud","bigquery","analytics","sql","data warehouse"]},{"slug":"google-cloud-logging-mcp-server","url":"https://www.scrums.com/catalog/mcps/google-cloud-logging-mcp-server","title":"Google Cloud Logging MCP Server","summary":"Google Cloud Logging MCP Server is a first-party MCP surface for cloud Logging queries and log context through a Google-hosted MCP server. The engineering-leadership use case is straightforward: give agents direct access to authoritative production logs inside Google Cloud.","updated_at":"2026-09-14T20:34:58.424261+00:00","lifecycle_editorial":"draft","tags":["mcp","google cloud","logging","logs","observability","troubleshooting"]},{"slug":"google-cloud-monitoring-mcp-server","url":"https://www.scrums.com/catalog/mcps/google-cloud-monitoring-mcp-server","title":"Google Cloud Monitoring MCP Server","summary":"For teams using Google Cloud, Google Cloud Monitoring MCP Server exposes cloud Monitoring metrics and operational monitoring context via remote MCP to MCP-capable engineering tools. In an engineering organization, this can bring GCP metrics into incident and coding agents for evidence-based diagnosis.","updated_at":"2026-09-14T20:34:58.424261+00:00","lifecycle_editorial":"draft","tags":["mcp","google cloud","monitoring","metrics","observability","sre"]},{"slug":"google-cloud-run-mcp-server","url":"https://www.scrums.com/catalog/mcps/google-cloud-run-mcp-server","title":"Google Cloud Run MCP Server","summary":"Google Cloud Run MCP Server gives approved AI clients access to cloud Run services and resources through Google-hosted remote MCP infrastructure. It is most valuable where teams want to give application and platform agents direct access to managed serverless service context.","updated_at":"2026-09-14T20:34:58.424261+00:00","lifecycle_editorial":"draft","tags":["mcp","google cloud","cloud run","serverless","containers","platform engineering"]},{"slug":"google-cloud-sql-mcp-server","url":"https://www.scrums.com/catalog/mcps/google-cloud-sql-mcp-server","title":"Google Cloud SQL MCP Server","summary":"Google Cloud SQL MCP Server turns cloud SQL resources and database management context through Google remote MCP into a structured tool surface for AI assistants and agents. For a CTO or Head of Engineering, the practical value is to let platform agents inspect managed relational databases alongside application infrastructure.","updated_at":"2026-09-14T20:34:58.424261+00:00","lifecycle_editorial":"draft","tags":["mcp","google cloud","cloud sql","postgres","mysql","database"]},{"slug":"google-cloud-trace-mcp-server","url":"https://www.scrums.com/catalog/mcps/google-cloud-trace-mcp-server","title":"Google Cloud Trace MCP Server","summary":"Google Cloud Trace MCP Server turns distributed tracing data from Cloud Trace exposed through MCP into a structured tool surface for AI assistants and agents. For a CTO or Head of Engineering, the practical value is to let engineering agents follow request paths across services when debugging performance.","updated_at":"2026-09-14T20:34:58.424261+00:00","lifecycle_editorial":"draft","tags":["mcp","google cloud","trace","distributed tracing","observability","latency"]},{"slug":"google-compute-engine-mcp-server","url":"https://www.scrums.com/catalog/mcps/google-compute-engine-mcp-server","title":"Google Compute Engine MCP Server","summary":"Use Google Compute Engine MCP Server to connect engineering agents with compute Engine resources exposed through Google Cloud remote MCP infrastructure. The key operational benefit is to let platform agents inspect VM fleets and configuration using existing IAM.","updated_at":"2026-09-14T20:34:58.424261+00:00","lifecycle_editorial":"draft","tags":["mcp","google cloud","compute engine","vm","infrastructure","cloud"]},{"slug":"google-error-reporting-mcp-server","url":"https://www.scrums.com/catalog/mcps/google-error-reporting-mcp-server","title":"Google Error Reporting MCP Server","summary":"Google Error Reporting MCP Server gives approved AI clients access to google Cloud Error Reporting context for application exceptions. It is most valuable where teams want to give developers a focused MCP surface for identifying and grouping production application errors.","updated_at":"2026-09-14T20:34:58.424261+00:00","lifecycle_editorial":"draft","tags":["mcp","google cloud","error reporting","exceptions","reliability","debugging"]},{"slug":"google-firestore-mcp-server","url":"https://www.scrums.com/catalog/mcps/google-firestore-mcp-server","title":"Google Firestore MCP Server","summary":"Use Google Firestore MCP Server to connect engineering agents with firestore database resources and operations via Google-hosted MCP. The key operational benefit is to enable application agents to reason about Firestore-backed systems using live platform context.","updated_at":"2026-09-14T20:34:58.424261+00:00","lifecycle_editorial":"draft","tags":["mcp","google cloud","firestore","database","nosql","backend"]},{"slug":"google-kubernetes-engine-mcp-server","url":"https://www.scrums.com/catalog/mcps/google-kubernetes-engine-mcp-server","title":"Google Kubernetes Engine MCP Server","summary":"Use Google Kubernetes Engine MCP Server to connect engineering agents with gKE resources through Google Cloud remote MCP infrastructure. The key operational benefit is to connect cluster operations to AI assistants while preserving Google Cloud IAM governance.","updated_at":"2026-09-14T20:34:58.424261+00:00","lifecycle_editorial":"draft","tags":["mcp","google cloud","gke","kubernetes","clusters","platform engineering"]},{"slug":"google-pub-sub-mcp-server","url":"https://www.scrums.com/catalog/mcps/google-pub-sub-mcp-server","title":"Google Pub/Sub MCP Server","summary":"Google Pub/Sub MCP Server gives approved AI clients access to pub/Sub topics, subscriptions and messaging resources through MCP. It is most valuable where teams want to give distributed-systems teams agent access to messaging topology and operational state.","updated_at":"2026-09-14T20:34:58.424261+00:00","lifecycle_editorial":"draft","tags":["mcp","google cloud","pubsub","messaging","events","distributed systems"]},{"slug":"grafana-mcp-server","url":"https://www.scrums.com/catalog/mcps/grafana-mcp-server","title":"Grafana MCP Server","summary":"Grafana MCP Server turns metrics, logs, dashboards, alerts, incidents and related Grafana ecosystem context into a structured tool surface for AI assistants and agents. For a CTO or Head of Engineering, the practical value is to make observability query and investigation workflows directly available to engineering agents.","updated_at":"2026-09-14T20:34:58.424261+00:00","lifecycle_editorial":"draft","tags":["mcp","grafana","metrics","logs","dashboards","observability"]},{"slug":"harness-mcp-server","url":"https://www.scrums.com/catalog/mcps/harness-mcp-server","title":"Harness MCP Server","summary":"For teams using Harness, Harness MCP Server exposes harness pipelines, executions, services, environments and delivery-policy context to MCP-capable engineering tools. In an engineering organization, this can connect agents to a broad software-delivery platform spanning deployment state and governance.","updated_at":"2026-09-14T20:34:58.424261+00:00","lifecycle_editorial":"draft","tags":["mcp","harness","continuous delivery","pipelines","environments","devops"]},{"slug":"honeycomb-mcp-server","url":"https://www.scrums.com/catalog/mcps/honeycomb-mcp-server","title":"Honeycomb MCP Server","summary":"For teams using Honeycomb, Honeycomb MCP Server exposes honeycomb telemetry investigation, traces, SLOs, triggers and supported write actions to MCP-capable engineering tools. In an engineering organization, this can let agents perform iterative high-cardinality investigations instead of relying on static dashboards.","updated_at":"2026-09-14T20:34:58.424261+00:00","lifecycle_editorial":"draft","tags":["mcp","honeycomb","observability","traces","slo","debugging"]},{"slug":"incident-io-remote-mcp","url":"https://www.scrums.com/catalog/mcps/incident-io-remote-mcp","title":"incident.io Remote MCP","summary":"Use incident.io Remote MCP to connect engineering agents with incidents, alerts, on-call and escalation context from incident.io. The key operational benefit is to connect incident-response knowledge and live incident state to engineering assistants.","updated_at":"2026-09-14T20:34:58.424261+00:00","lifecycle_editorial":"draft","tags":["mcp","incident.io","incidents","on call","postmortems","reliability"]},{"slug":"jetbrains-ide-mcp-server","url":"https://www.scrums.com/catalog/mcps/jetbrains-ide-mcp-server","title":"JetBrains IDE MCP Server","summary":"JetBrains IDE MCP Server is a first-party MCP surface for iDE-level code analysis, file editing, run configurations and terminal capabilities from JetBrains IDEs. The engineering-leadership use case is straightforward: expose rich local development context to agents without losing the IDE intelligence engineers already rely on.","updated_at":"2026-09-14T20:34:58.424261+00:00","lifecycle_editorial":"draft","tags":["mcp","jetbrains","ide","code analysis","terminal","developer productivity"]},{"slug":"jfrog-mcp-server","url":"https://www.scrums.com/catalog/mcps/jfrog-mcp-server","title":"JFrog MCP Server","summary":"JFrog MCP Server turns jFrog repositories, builds, packages, evidence, distribution and security context into a structured tool surface for AI assistants and agents. For a CTO or Head of Engineering, the practical value is to give agents artifact and supply-chain context that sits downstream of source code and upstream of production.","updated_at":"2026-09-14T20:34:58.424261+00:00","lifecycle_editorial":"draft","tags":["mcp","jfrog","artifactory","packages","software supply chain","builds"]},{"slug":"launchdarkly-mcp-server","url":"https://www.scrums.com/catalog/mcps/launchdarkly-mcp-server","title":"LaunchDarkly MCP Server","summary":"LaunchDarkly MCP Server gives approved AI clients access to feature flags and LaunchDarkly project/environment context through a hosted MCP server. It is most valuable where teams want to allow release agents to inspect rollout state and safely coordinate feature delivery with engineering context.","updated_at":"2026-09-14T20:34:58.424261+00:00","lifecycle_editorial":"draft","tags":["mcp","launchdarkly","feature flags","release management","progressive delivery"]},{"slug":"linear-mcp-server","url":"https://www.scrums.com/catalog/mcps/linear-mcp-server","title":"Linear MCP Server","summary":"Linear MCP Server turns linear issues, projects and team planning data via an official MCP connection into a structured tool surface for AI assistants and agents. For a CTO or Head of Engineering, the practical value is to give agents direct access to engineering plans and issue context without copying tickets into prompts.","updated_at":"2026-09-14T20:34:58.424261+00:00","lifecycle_editorial":"draft","tags":["mcp","linear","issues","planning","projects","engineering management"]},{"slug":"managed-mcp-gateway","url":"https://www.scrums.com/catalog/mcps/managed-mcp-gateway","title":"Managed MCP Gateway","summary":"One governed Model Context Protocol endpoint for your whole organisation. Connect your tools once, scope them per team and per agent, and see every call every agent makes.","updated_at":"2026-09-14T20:34:58.424261+00:00","lifecycle_editorial":"draft","tags":["mcp","platform","governance","agents"]},{"slug":"mongodb-mcp-server","url":"https://www.scrums.com/catalog/mcps/mongodb-mcp-server","title":"MongoDB MCP Server","summary":"For teams using MongoDB, MongoDB MCP Server exposes mongoDB data operations plus Atlas and deployment administration capabilities to MCP-capable engineering tools. In an engineering organization, this can let agents query application data and reason about database configuration from the same development workflow.","updated_at":"2026-09-14T20:34:58.424261+00:00","lifecycle_editorial":"draft","tags":["mcp","mongodb","database","atlas","queries","nosql"]},{"slug":"neon-mcp-server","url":"https://www.scrums.com/catalog/mcps/neon-mcp-server","title":"Neon MCP Server","summary":"Neon MCP Server turns neon projects, Postgres branches and SQL/database management operations into a structured tool surface for AI assistants and agents. For a CTO or Head of Engineering, the practical value is to make branchable Postgres infrastructure directly accessible to agentic development workflows.","updated_at":"2026-09-14T20:34:58.424261+00:00","lifecycle_editorial":"draft","tags":["mcp","neon","postgres","database branching","sql","serverless postgres"]},{"slug":"netlify-mcp-server","url":"https://www.scrums.com/catalog/mcps/netlify-mcp-server","title":"Netlify MCP Server","summary":"Netlify MCP Server gives approved AI clients access to netlify account, site and deployment workflows through the official remote MCP server. It is most valuable where teams want to connect AI coding agents directly to the web deployment platform used by frontend teams.","updated_at":"2026-09-14T20:34:58.424261+00:00","lifecycle_editorial":"draft","tags":["mcp","netlify","deployments","frontend","web platform","build"]},{"slug":"new-relic-ai-mcp-server","url":"https://www.scrums.com/catalog/mcps/new-relic-ai-mcp-server","title":"New Relic AI MCP Server","summary":"New Relic AI MCP Server is a first-party MCP surface for new Relic observability context and actions for AI development and operations clients. The engineering-leadership use case is straightforward: bring production telemetry into coding and troubleshooting agents for faster diagnosis.","updated_at":"2026-09-14T20:34:58.424261+00:00","lifecycle_editorial":"draft","tags":["mcp","new relic","observability","apm","telemetry","troubleshooting"]},{"slug":"pagerduty-mcp-server","url":"https://www.scrums.com/catalog/mcps/pagerduty-mcp-server","title":"PagerDuty MCP Server","summary":"PagerDuty MCP Server gives approved AI clients access to incidents, on-call schedules, escalation policies and operational response context. It is most valuable where teams want to give incident agents direct access to who is on call and what is happening during an outage.","updated_at":"2026-09-14T20:34:58.424261+00:00","lifecycle_editorial":"draft","tags":["mcp","pagerduty","incidents","on call","reliability","operations"]},{"slug":"pinecone-mcp-server","url":"https://www.scrums.com/catalog/mcps/pinecone-mcp-server","title":"Pinecone MCP Server","summary":"Use Pinecone MCP Server to connect engineering agents with pinecone documentation, index management, upserts and vector queries. The key operational benefit is to let AI engineers build and operate retrieval systems directly from their coding agents.","updated_at":"2026-09-14T20:34:58.424261+00:00","lifecycle_editorial":"draft","tags":["mcp","pinecone","vector database","rag","semantic search","indexes"]},{"slug":"pipedream-mcp-server","url":"https://www.scrums.com/catalog/mcps/pipedream-mcp-server","title":"Pipedream MCP Server","summary":"Pipedream MCP Server turns a managed MCP surface over thousands of APIs and tools with built-in connection handling into a structured tool surface for AI assistants and agents. For a CTO or Head of Engineering, the practical value is to give engineering agents broad SaaS/API reach without building and maintaining an integration for every service.","updated_at":"2026-09-14T20:34:58.424261+00:00","lifecycle_editorial":"draft","tags":["mcp","pipedream","api integrations","automation","saas","tools"]},{"slug":"playwright-mcp","url":"https://www.scrums.com/catalog/mcps/playwright-mcp","title":"Playwright MCP","summary":"For teams using Microsoft, Playwright MCP exposes browser interaction using structured accessibility snapshots and Playwright automation primitives to MCP-capable engineering tools. In an engineering organization, this can let engineers and QA agents reproduce UI flows, inspect pages and validate changes through a browser.","updated_at":"2026-09-14T20:34:58.424261+00:00","lifecycle_editorial":"draft","tags":["mcp","playwright","browser automation","e2e testing","qa","accessibility"]},{"slug":"postman-mcp-server","url":"https://www.scrums.com/catalog/mcps/postman-mcp-server","title":"Postman MCP Server","summary":"Postman MCP Server gives approved AI clients access to postman workspaces, collections, APIs and API-development assets through a hosted MCP interface. It is most valuable where teams want to make API specifications and test assets available to coding agents at the point of implementation.","updated_at":"2026-09-14T20:34:58.424261+00:00","lifecycle_editorial":"draft","tags":["mcp","postman","api","collections","testing","specifications"]},{"slug":"pulumi-mcp-server","url":"https://www.scrums.com/catalog/mcps/pulumi-mcp-server","title":"Pulumi MCP Server","summary":"Pulumi MCP Server is a first-party MCP surface for pulumi Cloud stacks, resources, Registry data and infrastructure workflows. The engineering-leadership use case is straightforward: give cloud engineering agents a live view of deployed infrastructure as well as IaC-generation context.","updated_at":"2026-09-14T20:34:58.424261+00:00","lifecycle_editorial":"draft","tags":["mcp","pulumi","infrastructure as code","cloud","stacks","platform engineering"]},{"slug":"qdrant-mcp-server","url":"https://www.scrums.com/catalog/mcps/qdrant-mcp-server","title":"Qdrant MCP Server","summary":"Qdrant MCP Server gives approved AI clients access to qdrant vector-memory workflows for storing and retrieving semantically relevant context. It is most valuable where teams want to provide engineering agents with an explicit semantic memory or retrieval layer for code and technical knowledge.","updated_at":"2026-09-14T20:34:58.424261+00:00","lifecycle_editorial":"draft","tags":["mcp","qdrant","vector database","semantic search","memory","rag"]},{"slug":"railway-mcp-server","url":"https://www.scrums.com/catalog/mcps/railway-mcp-server","title":"Railway MCP Server","summary":"Railway MCP Server is a first-party MCP surface for railway projects, services and platform operations through an OAuth-enabled remote MCP server. The engineering-leadership use case is straightforward: make small-team cloud operations accessible to coding agents without custom Railway API tooling.","updated_at":"2026-09-14T20:34:58.424261+00:00","lifecycle_editorial":"draft","tags":["mcp","railway","cloud","deployments","services","developer platform"]},{"slug":"redis-mcp-server","url":"https://www.scrums.com/catalog/mcps/redis-mcp-server","title":"Redis MCP Server","summary":"Redis MCP Server gives approved AI clients access to redis reads, writes, queries and selected server-management operations. It is most valuable where teams want to give agents direct access to caching, session, queue and vector/search data structures used by applications.","updated_at":"2026-09-14T20:34:58.424261+00:00","lifecycle_editorial":"draft","tags":["mcp","redis","cache","database","vector search","sessions"]},{"slug":"render-mcp-server","url":"https://www.scrums.com/catalog/mcps/render-mcp-server","title":"Render MCP Server","summary":"Use Render MCP Server to connect engineering agents with render services and deployment context through a hosted MCP server. The key operational benefit is to give developers and platform teams direct operational context for services running on Render.","updated_at":"2026-09-14T20:34:58.424261+00:00","lifecycle_editorial":"draft","tags":["mcp","render","cloud","deployments","services","platform engineering"]},{"slug":"rootly-mcp-server","url":"https://www.scrums.com/catalog/mcps/rootly-mcp-server","title":"Rootly MCP Server","summary":"Rootly MCP Server is a first-party MCP surface for rootly incident-management context and actions via MCP with OAuth support. The engineering-leadership use case is straightforward: let agents assist with incident triage, coordination and learning while retaining Rootly as the source of truth.","updated_at":"2026-09-14T20:34:58.424261+00:00","lifecycle_editorial":"draft","tags":["mcp","rootly","incidents","reliability","on call","incident response"]},{"slug":"semgrep-mcp-server","url":"https://www.scrums.com/catalog/mcps/semgrep-mcp-server","title":"Semgrep MCP Server","summary":"For teams using Semgrep, Semgrep MCP Server exposes semgrep static analysis, secret detection, supply-chain and code-quality checks for AI agents to MCP-capable engineering tools. In an engineering organization, this can give AI coding agents a deterministic security feedback loop while they generate and modify code.","updated_at":"2026-09-14T20:34:58.424261+00:00","lifecycle_editorial":"draft","tags":["mcp","semgrep","sast","secrets","supply chain","appsec"]},{"slug":"sentry-mcp-server","url":"https://www.scrums.com/catalog/mcps/sentry-mcp-server","title":"Sentry MCP Server","summary":"For teams using Sentry, Sentry MCP Server exposes sentry issues, errors and debugging context exposed to AI development tools to MCP-capable engineering tools. In an engineering organization, this can give developers live production error context while they are fixing code.","updated_at":"2026-09-14T20:34:58.424261+00:00","lifecycle_editorial":"draft","tags":["mcp","sentry","errors","debugging","application monitoring","observability"]},{"slug":"snowflake-managed-mcp-server","url":"https://www.scrums.com/catalog/mcps/snowflake-managed-mcp-server","title":"Snowflake-managed MCP Server","summary":"Use Snowflake-managed MCP Server to connect engineering agents with cortex Analyst, Cortex Search, Cortex Agents, custom tools and governed SQL execution. The key operational benefit is to expose enterprise data and semantic tools to agents without deploying separate MCP infrastructure.","updated_at":"2026-09-14T20:34:58.424261+00:00","lifecycle_editorial":"draft","tags":["mcp","snowflake","data warehouse","cortex","sql","analytics"]},{"slug":"snyk-mcp-server","url":"https://www.scrums.com/catalog/mcps/snyk-mcp-server","title":"Snyk MCP Server","summary":"Snyk MCP Server is a first-party MCP surface for snyk scanning from the CLI for code, dependencies and other developer security checks. The engineering-leadership use case is straightforward: embed security scanning into AI-assisted coding before changes are committed or reviewed.","updated_at":"2026-09-14T20:34:58.424261+00:00","lifecycle_editorial":"draft","tags":["mcp","snyk","developer security","vulnerabilities","dependencies","scanning"]},{"slug":"sonarqube-mcp-server","url":"https://www.scrums.com/catalog/mcps/sonarqube-mcp-server","title":"SonarQube MCP Server","summary":"SonarQube MCP Server turns sonarQube Cloud or Server code quality, security and code-analysis context for coding agents into a structured tool surface for AI assistants and agents. For a CTO or Head of Engineering, the practical value is to use existing quality gates and static-analysis evidence inside agentic development workflows.","updated_at":"2026-09-14T20:34:58.424261+00:00","lifecycle_editorial":"draft","tags":["mcp","sonarqube","code quality","static analysis","security","quality gates"]},{"slug":"sonatype-mcp-server","url":"https://www.scrums.com/catalog/mcps/sonatype-mcp-server","title":"Sonatype MCP Server","summary":"Sonatype MCP Server gives approved AI clients access to component security, version and policy/compliance context from Sonatype. It is most valuable where teams want to help agents make dependency decisions using authoritative supply-chain intelligence.","updated_at":"2026-09-14T20:34:58.424261+00:00","lifecycle_editorial":"draft","tags":["mcp","sonatype","dependencies","software supply chain","security","compliance"]},{"slug":"splunk-mcp-server","url":"https://www.scrums.com/catalog/mcps/splunk-mcp-server","title":"Splunk MCP Server","summary":"Splunk MCP Server gives approved AI clients access to splunk search and data access over Streamable HTTP with enterprise authentication and RBAC. It is most valuable where teams want to expose operational and security data to agents while retaining Splunk governance controls.","updated_at":"2026-09-14T20:34:58.424261+00:00","lifecycle_editorial":"draft","tags":["mcp","splunk","logs","security","observability","spl"]},{"slug":"sumo-logic-mcp-server","url":"https://www.scrums.com/catalog/mcps/sumo-logic-mcp-server","title":"Sumo Logic MCP Server","summary":"Use Sumo Logic MCP Server to connect engineering agents with logs, alerts, dashboards and security insight context from Sumo Logic. The key operational benefit is to give engineering and SecOps agents natural-language access to telemetry and detection context.","updated_at":"2026-09-14T20:34:58.424261+00:00","lifecycle_editorial":"draft","tags":["mcp","sumo logic","logs","alerts","observability","security"]},{"slug":"supabase-mcp-server","url":"https://www.scrums.com/catalog/mcps/supabase-mcp-server","title":"Supabase MCP Server","summary":"Supabase MCP Server is a first-party MCP surface for supabase projects, Postgres data, migrations, Edge Functions and related backend workflows. The engineering-leadership use case is straightforward: give full-stack engineering agents controlled access to a live backend platform during development.","updated_at":"2026-09-14T20:34:58.424261+00:00","lifecycle_editorial":"draft","tags":["mcp","supabase","postgres","database","backend","edge functions"]},{"slug":"temporal-knowledge-base-mcp-server","url":"https://www.scrums.com/catalog/mcps/temporal-knowledge-base-mcp-server","title":"Temporal Knowledge Base MCP Server","summary":"Temporal Knowledge Base MCP Server gives approved AI clients access to current Temporal documentation and knowledge made available to AI coding clients through MCP. It is most valuable where teams want to reduce hallucinated workflow code by grounding agents in authoritative Temporal guidance.","updated_at":"2026-09-14T20:34:58.424261+00:00","lifecycle_editorial":"draft","tags":["mcp","temporal","workflows","documentation","distributed systems","developers"]},{"slug":"terraform-mcp-server","url":"https://www.scrums.com/catalog/mcps/terraform-mcp-server","title":"Terraform MCP Server","summary":"Terraform MCP Server gives approved AI clients access to current Terraform Registry provider docs, modules, policies and optional HCP Terraform or Enterprise context. It is most valuable where teams want to improve IaC generation accuracy and give platform agents access to organization-approved Terraform artifacts.","updated_at":"2026-09-14T20:34:58.424261+00:00","lifecycle_editorial":"draft","tags":["mcp","terraform","infrastructure as code","registry","hcp terraform","platform engineering"]},{"slug":"vault-mcp-server","url":"https://www.scrums.com/catalog/mcps/vault-mcp-server","title":"Vault MCP Server","summary":"Use Vault MCP Server to connect engineering agents with vault mounts and secrets-management operations over stdio or Streamable HTTP. The key operational benefit is to allow specialized platform agents to work with secret infrastructure without embedding secret-handling logic in each client.","updated_at":"2026-09-14T20:34:58.424261+00:00","lifecycle_editorial":"draft","tags":["mcp","vault","secrets","security","platform engineering","credentials"]},{"slug":"vercel-mcp-server","url":"https://www.scrums.com/catalog/mcps/vercel-mcp-server","title":"Vercel MCP Server","summary":"Vercel MCP Server turns vercel projects, deployments, logs, documentation and supported analytics/project tools into a structured tool surface for AI assistants and agents. For a CTO or Head of Engineering, the practical value is to let web and AI application teams troubleshoot and operate deployments from their engineering agents.","updated_at":"2026-09-14T20:34:58.424261+00:00","lifecycle_editorial":"draft","tags":["mcp","vercel","deployments","frontend","logs","web platform"]},{"slug":"wiz-mcp-server","url":"https://www.scrums.com/catalog/mcps/wiz-mcp-server","title":"Wiz MCP Server","summary":"Use Wiz MCP Server to connect engineering agents with wiz security graph, cloud inventory, issues and risk context for AI-driven workflows. The key operational benefit is to give cloud and security engineers contextual access to attack paths and prioritized cloud risk.","updated_at":"2026-09-14T20:34:58.424261+00:00","lifecycle_editorial":"draft","tags":["mcp","wiz","cloud security","cspm","vulnerabilities","attack paths"]}]}