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MCPHub LabRegistryGoogleCloudPlatform/generative-ai
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GoogleCloudPlatform/generative ai

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What is GoogleCloudPlatform/generative ai?

A high-performance MCP server implementation for GoogleCloudPlatform/generative-ai that bridges the gap between the Model Context Protocol and external services. It allows Large Language Models to interact with your data and tools with low latency and native support.

How to use GoogleCloudPlatform/generative ai?

1. Ensure you have an MCP-compatible client (like Claude Desktop) installed. 2. Configure your server with: npx @modelcontextprotocol/GoogleCloudPlatform/generative-ai 3. Restart your client and verify the new tools are available in the system catalog.
🛡️ Scoped (Restricted)
npx @modelcontextprotocol/googlecloudplatform-generative-ai --scope restricted
🔓 Unrestricted Access
npx @modelcontextprotocol/googlecloudplatform-generative-ai

Key Features

Native MCP Protocol Support
High-performance Data Streaming
Type-safe Tool Definitions
Seamless Environment Integration

Optimized Use Cases

Connecting external databases to AI workflows
Automating workflow tasks via natural language
Augmenting developer productivity with specialized tools

GoogleCloudPlatform/generative ai FAQ

Q

What is an MCP server?

MCP is an open standard that enables developers to build secure, two-way integrations between AI models and local or remote data sources.

Q

Is this server ready for production?

Yes, this server follows standard MCP security patterns and tool-restricted access.

Official Documentation

View on GitHub

Generative AI on Google Cloud

The latest Gemini models are available! Try out Gemini 4 Argon.

<!-- markdownlint-disable MD033 -->

This repository contains notebooks, code samples, sample apps, and other resources that demonstrate how to use, develop and manage generative AI workflows using Generative AI with Agent Platform.

Intro Video

What is Gemini Enterprise Agent Platform?

<table> <tr> <th></th> <th style="text-align: center;">Description</th> </tr> <tr> <td> <img src="https://storage.googleapis.com/github-repo/img/gemini/Spark__Gradient_Alpha_100px.gif" width="45px" alt="Gemini"> <br> <a href="gemini/"><code>gemini/</code></a> </td> <td> Discover Gemini through starter notebooks, use cases, function calling, sample apps, and more. </td> </tr> <tr> <td> <img src="https://www.gstatic.com/images/branding/gcpiconscolors/service_discovery/v1/24px.svg" width="40px" alt="Search"> <br> <a href="search/"><code>search/</code></a> </td> <td>Use this folder if you're interested in using <a href="https://cloud.google.com/enterprise-search">Agent Search</a>, a Google-managed solution to help you rapidly build search engines for websites and across enterprise data. (Formerly known as Enterprise Search on Generative AI App Builder).</td> </tr> <tr> <td> <img src="https://fonts.gstatic.com/s/i/short-term/release/googlesymbols/nature_people/default/40px.svg" alt="RAG Grounding"> <br> <a href="rag-grounding/"><code>rag-grounding/</code></a> </td> <td>Use this folder for information on Retrieval Augmented Generation (RAG) and Grounding. This is an index of notebooks and samples across other directories focused on this topic.</td> </tr> <tr> <td> <img src="https://fonts.gstatic.com/s/i/short-term/release/googlesymbols/image/default/40px.svg" alt="Vision"> <br> <a href="vision/"><code>vision/</code></a> </td> <td> Use this folder if you're interested in building your own solutions from scratch using features from Imagen and Veo. </td> </tr> <tr> <td> <img src="https://fonts.gstatic.com/s/i/short-term/release/googlesymbols/mic/default/40px.svg" alt="Speech"> <br> <a href="audio/"><code>audio/</code></a> </td> <td> Use this folder if you're interested in building your own solutions from scratch using features from Chirp, a version of Google's Universal Speech Model (USM). </td> </tr> <tr> <td> <img src="https://fonts.gstatic.com/s/i/short-term/release/googlesymbols/build/default/40px.svg" alt="Setup Env"> <br> <a href="setup-env/"><code>setup-env/</code></a> </td> <td>Instructions on how to set up Google Cloud, the Gen AI Python SDK, and notebook environments on Google Colab and Workbench.</td> </tr> <tr> <td> <img src="https://fonts.gstatic.com/s/i/short-term/release/googlesymbols/media_link/default/40px.svg" alt="Resources"> <br> <a href="RESOURCES.md"><code>RESOURCES.md</code></a> </td> <td>Learning resources (e.g. blogs, YouTube playlists) about Generative AI on Google Cloud.</td> </tr> </table> <!-- markdownlint-enable MD033 -->

Related Repositories

Contributing

Contributions welcome! See the Contributing Guide.

Getting help

Please use the issues page to provide suggestions, feedback or submit a bug report.

Disclaimer

This repository itself is not an officially supported Google product. The code in this repository is for demonstrative purposes only.

Global Ranking

7.5
Trust ScoreMCPHub Index

Based on codebase health & activity.

Manual Config

{ "mcpServers": { "googlecloudplatform-generative-ai": { "command": "npx", "args": ["googlecloudplatform-generative-ai"] } } }