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google/mcp

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.

⚑ Google MCP Servers

Remote MCP servers

These remote MCP servers are managed by Google, and are available via endpoint. Below are a few key remote servrs. For a comprehensive list of all remote MCP servers managed by Google in General Availability (GA) and public preview vist the supported products pager

Open-source MCP servers

You can run these open-source MCP servers locally, or deploy them to Google Cloud (see below).

πŸ’» Examples

  • Launch My Bakery (/examples/launchmybakery): A sample agent built with Agent Development Kit (ADK) that uses remote MCP servers for Google Maps and BigQuery.
  • Allstrides (/examples/allstrides): A sample app migrated from local to Cloud using remote MCP servers for Developer Knowledge, Cloud SQL and Cloud Run

πŸ“™ Resources

Run an MCP server in Google Cloud

🀝 Contributing

We welcome contributions to this repository, including bug reports, feature requests, documentation improvements, and code contributions. Please see our Contributing Guidelines to get started.

πŸ“ƒ License

This project is licensed under the Apache 2.0 License - see the LICENSE file for details.

Disclaimers

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.

EHEPS Google MCP Integration

Overview

automatic-journey provides an EHEPS integration layer for Google's Model Context Protocol (MCP) ecosystem.

This file documents the Google MCP resources that may be used by the project, including remote MCP services, open-source MCP servers, deployment options, Gemini integration, and security requirements.

Disclaimer: automatic-journey is an independent EHEPS project. It is not an official Google, Google Cloud, Gemini, or Google MCP product and does not imply endorsement by Google.


EHEPS Project

Setting Value
Organization EHEPS International Organization
Project automatic-journey
Google Cloud Project ID ehepso-nonprofit-eb1db
Google Cloud Project Number 286452521627
Region us-central1
Website https://eheps.com
Organization https://eheps.org

Google MCP

Google provides MCP integrations that allow compatible AI agents and clients to interact with supported Google services through standardized tools and interfaces.

Official MCP overview:

https://docs.cloud.google.com/mcp/overview

Supported products:

https://docs.cloud.google.com/mcp/supported-products

Enable or disable MCP servers:

https://docs.cloud.google.com/mcp/enable-disable-mcp-servers


Remote Google MCP Servers

The following are examples of Google-managed MCP services.

Service Documentation
AlloyDB https://docs.cloud.google.com/alloydb/docs/ai/use-alloydb-mcp
BigQuery https://docs.cloud.google.com/bigquery/docs/use-bigquery-mcp
Bigtable https://docs.cloud.google.com/bigtable/docs/use-bigtable-mcp
Cloud Resource Manager https://docs.cloud.google.com/resource-manager/reference/mcp
Cloud SQL MySQL https://docs.cloud.google.com/sql/docs/mysql/use-cloudsql-mcp
Cloud SQL PostgreSQL https://docs.cloud.google.com/sql/docs/postgres/use-cloudsql-mcp
Cloud SQL SQL Server https://docs.cloud.google.com/sql/docs/sqlserver/use-cloudsql-mcp
Compute Engine https://docs.cloud.google.com/compute/docs/reference/mcp
Developer Knowledge https://developers.google.com/knowledge/mcp
Firestore https://docs.cloud.google.com/firestore/native/docs/use-firestore-mcp
Google Maps https://developers.google.com/maps/ai/grounding-lite
Google Security Operations https://docs.cloud.google.com/chronicle/docs/reference/mcp
Google Kubernetes Engine https://docs.cloud.google.com/kubernetes-engine/docs/reference/mcp
Spanner https://docs.cloud.google.com/spanner/docs/use-spanner-mcp
Cloud Run https://docs.cloud.google.com/run/docs/reference/mcp
Cloud Storage https://docs.cloud.google.com/storage/docs/reference/mcp

The supported-products page should be treated as the authoritative list because Google may add, remove, or change MCP availability.


Open-Source MCP Servers

Google and related Google organizations also publish open-source MCP servers and extensions.

Examples include:

MCP project Repository / Documentation
Google Workspace https://github.com/gemini-cli-extensions/workspace
Firebase https://github.com/gemini-cli-extensions/firebase
Cloud Run https://github.com/GoogleCloudPlatform/cloud-run-mcp
Google Analytics https://github.com/googleanalytics/google-analytics-mcp
MCP Toolbox https://github.com/googleapis/genai-toolbox
Google Cloud Storage https://github.com/googleapis/gcloud-mcp/tree/main/packages/storage-mcp
Genmedia https://github.com/GoogleCloudPlatform/vertex-ai-creative-studio/tree/main/experiments/mcp-genmedia
GKE https://github.com/GoogleCloudPlatform/gke-mcp
Google Cloud Security https://github.com/google/mcp-security
gcloud MCP https://github.com/googleapis/gcloud-mcp/tree/main/packages/gcloud-mcp
Cloud Observability https://github.com/googleapis/gcloud-mcp/tree/main/packages/observability-mcp
Flutter/Dart https://github.com/dart-lang/ai/tree/main/pkgs/dart_mcp_server
Angular https://github.com/angular/angular-cli/tree/main/packages/angular/cli/src/commands/mcp
Chrome DevTools https://github.com/ChromeDevTools/chrome-devtools-mcp

Before using any external MCP server, review its current documentation, permissions, source code, dependencies, and security model.


EHEPS MCP Architecture

                         EHEPS
                           |
             +-------------+-------------+
             |                           |
        eheps.com                    eheps.org
             |                           |
             +-------------+-------------+
                           |
                    automatic-journey
                           |
                    Python Application
                           |
                    Gemini / AI Agent
                           |
                       MCP Layer
                           |
       +-------------------+-------------------+
       |                   |                   |
    BigQuery           Cloud Run         Cloud Storage
       |                   |                   |
    Cloud SQL              GKE             Firestore
       |                   |                   |
       +-------------------+-------------------+

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