This repository contains a list of Google's official Model Context Protocol (MCP) servers, guidance on how to deploy MCP servers to Google Cloud, and examples to get started.
Coming soon
The following are open-source MCP servers that AI applications can use to interact with Google products. You can run these MCP servers locally, or deploy them to Google Cloud (see below).
- Google Workspace, including Google Docs, Sheets, Slides, Calendar, and Gmail. (Gemini CLI extension)
- Firebase (Gemini CLI extension)
- Cloud Run (Gemini CLI Extension)
- Google Analytics
- MCP Toolbox for Databases, including BigQuery, Cloud SQL, AlloyDB, Spanner, Firestore, and more.
- Google Cloud Storage
- Genmedia, including Imagen and Veo models.
- Kubernetes Engine (GKE)
- Google Cloud Security, including Security Command Center, Chronicle, and more.
- gcloud CLI
- Google Cloud Observability
Looking to deploy your own custom MCP server or an open-source MCP server to the cloud? Check out these resources:
- Documentation - Host MCP Servers on Cloud Run
- Blog Post - Build and Deploy a Remote MCP Server to Google Cloud Run in Under 10 Minutes
- MCP Toolbox for Databases - Deploy to Cloud Run, Deploy to Google Kubernetes Engine (GKE)
- “Tools Make an Agent” - Blog and Codelab
- Codelab - How to deploy a secure MCP server on Cloud Run
- Codelab - "Agent Verse" - Architecting Multi-agent Systems
We welcome contributions to this repository, including bug reports, feature requests, documentation improvements, and code contributions. Please see our Contributing Guidelines to get started.
This project is licensed under the Apache 2.0 License - see the LICENSE file for details.
This is not an officially supported Google product. This project is intended for demonstration purposes only.
This project is not eligible for the Google Open Source Software Vulnerability Rewards Program.