Google Agent Platform Docs

by OpenGerwin

217 downloads Not rated yet

GitHub

About

# mcp-google-agent-platform-docs MCP server providing Google AI platform documentation to AI agents. [![Python 3.10+](https://img.shields.io/badge/python-3.10+-blue.svg)](https://www.python.org/downloads/) [![MCP](https://img.shields.io/badge/MCP-1.27.0-green.svg)](https://modelcontextprotocol.io/) [![License…

Explore

- 🔍 Full-text search across 3400+ documentation pages
- 📄 On-demand fetching — pages are downloaded and cached as you need them
- 🗂️ Dual source — current GEAP + legacy Vertex AI documentation
- ⚡ Smart caching — 72-hour TTL, stale fallback on network errors
- 🗺️ Auto-discovery — new pages found via sitemap scanning (weekly)
- 🧩 Plug & play — works with Claude Desktop, Cursor, VS Code, any MCP client

Setting up with Highlight

This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:

Download and install Highlight from highlightai.com/download
Navigate to the plugins tab and select "Add Custom Plugin"
Configure the plugin with the settings below

Plugin Name Google Agent Platform Docs

Command (node, npx, python, etc.)

Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.
Enable "Start Automatically" if you want the plugin to start when Highlight launches

Setting up with Cursor

Open Cursor's settings
Navigate to the MCP section
Click "Add new Global MCP server"
Copy and paste the configuration below based on your operating system

JSON

{
    "mcpServers": {
        "google agent platform docs": {
            "google-agent-platform-docs": {
                "command": "uvx",
                "args": [
                    "mcp-google-agent-platform-docs"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "google agent platform docs": {
            "google-agent-platform-docs": {
                "command": "uvx",
                "args": [
                    "mcp-google-agent-platform-docs"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "google agent platform docs": {
            "google-agent-platform-docs": {
                "command": "uvx",
                "args": [
                    "mcp-google-agent-platform-docs"
                ]
            }
        }
    }
}

Setting up with Claude Desktop

Open Claude Desktop's settings
Go to the Integrations tab
Click "Add MCP Server"
Use the configuration below based on your operating system

Note: Make sure Claude Desktop is running before attempting to connect.

JSON

{
    "mcpServers": {
        "google agent platform docs": {
            "google-agent-platform-docs": {
                "command": "uvx",
                "args": [
                    "mcp-google-agent-platform-docs"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "google agent platform docs": {
            "google-agent-platform-docs": {
                "command": "uvx",
                "args": [
                    "mcp-google-agent-platform-docs"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "google agent platform docs": {
            "google-agent-platform-docs": {
                "command": "uvx",
                "args": [
                    "mcp-google-agent-platform-docs"
                ]
            }
        }
    }
}

Setting up with Windsurf

Open Windsurf's preferences
Go to the Integrations section
Click "Add MCP Integration"
Use the configuration below based on your operating system

JSON

{
    "mcpServers": {
        "google agent platform docs": {
            "google-agent-platform-docs": {
                "command": "uvx",
                "args": [
                    "mcp-google-agent-platform-docs"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "google agent platform docs": {
            "google-agent-platform-docs": {
                "command": "uvx",
                "args": [
                    "mcp-google-agent-platform-docs"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "google agent platform docs": {
            "google-agent-platform-docs": {
                "command": "uvx",
                "args": [
                    "mcp-google-agent-platform-docs"
                ]
            }
        }
    }
}

Setting up with Cline

Open Cline's settings
Navigate to the Integrations section
Click "Add MCP Server"
Copy and paste the configuration below based on your operating system

Note: Make sure to restart Cline after adding the configuration.

JSON

{
    "mcpServers": {
        "google agent platform docs": {
            "google-agent-platform-docs": {
                "command": "uvx",
                "args": [
                    "mcp-google-agent-platform-docs"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "google agent platform docs": {
            "google-agent-platform-docs": {
                "command": "uvx",
                "args": [
                    "mcp-google-agent-platform-docs"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "google agent platform docs": {
            "google-agent-platform-docs": {
                "command": "uvx",
                "args": [
                    "mcp-google-agent-platform-docs"
                ]
            }
        }
    }
}

Setting up with Goose

Open Goose's preferences
Go to the Integrations tab
Select "MCP Servers"
Click "Add New Server"
Use the configuration below based on your operating system

JSON

{
    "mcpServers": {
        "google agent platform docs": {
            "google-agent-platform-docs": {
                "command": "uvx",
                "args": [
                    "mcp-google-agent-platform-docs"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "google agent platform docs": {
            "google-agent-platform-docs": {
                "command": "uvx",
                "args": [
                    "mcp-google-agent-platform-docs"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "google agent platform docs": {
            "google-agent-platform-docs": {
                "command": "uvx",
                "args": [
                    "mcp-google-agent-platform-docs"
                ]
            }
        }
    }
}

From the repository


Add to your claude_desktop_config.json:

json { "mcpServers": { "google-agent-platform-docs": { "command": "mcp-google-agent-platform-docs" } } }


Add to ~/.gemini/antigravity/mcp_config.json:

json { "mcpServers": { "google-agent-platform-docs": { "command": "uv", "args": [ "--directory", "/path/to/mcp-google-agent-platform-docs", "run", "mcp-google-agent-platform-docs" ] } } }


Add to your MCP settings:

json { "mcpServers": { "google-agent-platform-docs": { "command": "mcp-google-agent-platform-docs", "transport": "stdio" } } } ```

uv sync

Claude Desktop / Cursor

Paste into your MCP client config file to install this server.

{
    "mcpServers": {
        "google agent platform docs": {
            "google-agent-platform-docs": {
                "command": "uvx",
                "args": [
                    "mcp-google-agent-platform-docs"
                ]
            }
        }
    }
}

McpServers

{
    "google-agent-platform-docs": {
        "command": "uvx",
        "args": [
            "mcp-google-agent-platform-docs"
        ]
    }
}

MCP server providing Google AI platform documentation to AI agents.

> Part of OpenGerwin MCP Servers

What is this?

An MCP (Model Context Protocol) server that gives AI agents direct access to Google's AI platform documentation — both the current Gemini Enterprise Agent Platform (GEAP) and the legacy Vertex AI Generative AI docs. Instead of hallucinating API details, your AI assistant can look up the actual documentation in real-time.

Features

- 🔍 Full-text search across 3400+ documentation pages - 📄 On-demand fetching — pages are downloaded and cached as you need them - 🗂️ Dual source — current GEAP + legacy Vertex AI documentation - ⚡ Smart caching — 72-hour TTL, stale fallback on network errors - 🗺️ Auto-discovery — new pages found via sitemap scanning (weekly) - 🧩 Plug & play — works with Claude Desktop, Cursor, VS Code, any MCP client

Quick Start

Install

```bash

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Setting up with Highlight

From the repository

Claude Desktop / Cursor

McpServers

What is this?

Features

Quick Start

Install

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