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22 MCP servers · ranked by best match
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.
VIEWS 30D 0For 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 CloudGoogle 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 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 CloudUse 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 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 CloudGoogle 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 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 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 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 CloudGitHub 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.
VIEWS 30D 0PROVIDER GitHubGoogle 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 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 CloudflareElastic 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.
VIEWS 30D 0PROVIDER ElasticUse 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.
VIEWS 30D 0PROVIDER SnowflakeSplunk 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.
VIEWS 30D 0PROVIDER SplunkFor 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.
VIEWS 30D 0PROVIDER HarnessDatabricks 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 DatabricksBuildkite 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.
VIEWS 30D 0PROVIDER BuildkiteGoogle 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 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 CloudFor 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.
VIEWS 30D 0PROVIDER MongoDB