48 operators · ranked by best match
Anthropic's Claude model family for reasoning, coding, and agentic workloads, offered via API and major cloud marketplaces. Scrums.com delivery teams integrate and govern it on the SEOP.
VIEWS 30D 0PROVIDER AnthropicOpenAI's frontier GPT model family for text, reasoning, vision, and speech, offered via API and enterprise plans. Scrums.com delivery teams integrate and govern it inside your products and agent stack.
VIEWS 30D 0PROVIDER OpenAIEuropean frontier lab Mistral AI offers open-weight and commercial models via La Plateforme and major clouds. Scrums.com delivery teams integrate and govern them inside your stack on the SEOP.
VIEWS 30D 0PROVIDER Mistral AIStability AI's Stable Diffusion family and related models generate images, video, audio and 3D assets, offered under membership licensing and a hosted API.
VIEWS 30D 0PROVIDER Stability AIDeepSeek's cost-efficient reasoning and general models, with open-weight releases and a usage-based API. Scrums.com delivery teams integrate and govern them inside your stack on the SEOP.
VIEWS 30D 0PROVIDER DeepSeekGoogle 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.
VIEWS 30D 0PROVIDER Google CloudFor 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.
VIEWS 30D 0PROVIDER Google CloudUse 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.
VIEWS 30D 0PROVIDER Google CloudDigitalOcean 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.
VIEWS 30D 0PROVIDER DigitalOceanDigitalOcean 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.
VIEWS 30D 0PROVIDER DigitalOceanGoogle 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.
VIEWS 30D 0PROVIDER Google CloudGoogle 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.
VIEWS 30D 0PROVIDER Google CloudUse 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.
VIEWS 30D 0PROVIDER Google CloudGoogle 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.
VIEWS 30D 0PROVIDER Google CloudDigitalOcean 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.
VIEWS 30D 0PROVIDER DigitalOceanCloudflare 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.
VIEWS 30D 0PROVIDER CloudflareCloudflare 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.
VIEWS 30D 0PROVIDER CloudflareFor 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.
VIEWS 30D 0PROVIDER CloudflareCloudflare 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.
VIEWS 30D 0PROVIDER CloudflareDigitalOcean 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.
VIEWS 30D 0PROVIDER DigitalOceanFor 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.
VIEWS 30D 0PROVIDER DigitalOceanTemporal 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.
VIEWS 30D 0PROVIDER TemporalFor 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.
VIEWS 30D 0PROVIDER DigitalOceanDigitalOcean 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.
VIEWS 30D 0PROVIDER DigitalOceanUse 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.
VIEWS 30D 0PROVIDER Google CloudUse 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.
VIEWS 30D 0PROVIDER PineconeGoogle 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.
VIEWS 30D 0PROVIDER Google CloudGoogle 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.
VIEWS 30D 0PROVIDER Google CloudGoogle 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.
VIEWS 30D 0PROVIDER Google CloudFor 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.
VIEWS 30D 0PROVIDER Google CloudQdrant 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.
VIEWS 30D 0PROVIDER QdrantDatabricks 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.
VIEWS 30D 0PROVIDER DatabricksFor 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.
VIEWS 30D 0PROVIDER DatabricksConfluent 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.
VIEWS 30D 0PROVIDER ConfluentCloudflare 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.
VIEWS 30D 0PROVIDER CloudflareFor 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.
VIEWS 30D 0PROVIDER CloudflareCloudflare 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.
VIEWS 30D 0PROVIDER CloudflareUse 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.
VIEWS 30D 0PROVIDER CloudflareCloudflare 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.
VIEWS 30D 0PROVIDER CloudflareUse 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.
VIEWS 30D 0PROVIDER CloudflareFor 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.
VIEWS 30D 0PROVIDER DigitalOceanUse 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.
VIEWS 30D 0PROVIDER CloudflareUse 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.
VIEWS 30D 0PROVIDER DigitalOceanDigitalOcean 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.
VIEWS 30D 0PROVIDER DigitalOceanCloudflare 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.
VIEWS 30D 0PROVIDER CloudflareUse 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.
VIEWS 30D 0PROVIDER DigitalOceanDigitalOcean 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.
VIEWS 30D 0PROVIDER DigitalOceanAWS 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.
VIEWS 30D 0PROVIDER AWS