Which integrations are available for this server?

Provides search and retrieval of Google AI platform documentation, including Gemini Enterprise Agent Platform (GEAP) and legacy Vertex AI documentation.

mcp-google-agent-platform-docs

MCP server providing Google AI platform documentation to AI agents.

Python 3.10+ MCP License: MIT

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

# Using pip
pip install mcp-google-agent-platform-docs

# Using uv (recommended)
uv pip install mcp-google-agent-platform-docs

Configure Claude Desktop

Add to your claude_desktop_config.json:

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

Configure Antigravity (Google)

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

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

Configure Cursor / VS Code

Add to your MCP settings:

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

Tools

`search_docs`

Search documentation by keywords.

search_docs("Memory Bank setup", source="geap")
search_docs("function calling", source="vertex-ai")

`get_doc`

Get full content of a specific page.

get_doc("scale/memory-bank/setup", source="geap")
get_doc("multimodal/function-calling", source="vertex-ai")

`list_sections`

Browse documentation structure.

list_sections(source="geap")

`list_models`

Quick reference for all available AI models (Gemini, Imagen, Veo, Claude, etc.).

list_models()

Documentation Sources

Source ID	Platform	Pages	Status
`geap`	Gemini Enterprise Agent Platform	2300+	Primary (current)
`vertex-ai`	Vertex AI Generative AI	1100+	Legacy (archive)

GEAP Sections

Agent Studio — Visual agent builder
Agents → Build — Runtime, ADK, Agent Garden, RAG Engine
Agents → Scale — Sessions, Memory Bank, Code Execution
Agents → Govern — Policies, Agent Gateway, Model Armor
Agents → Optimize — Observability, Evaluation, Quality Alerts
Models — Gemini, Imagen, Veo, Lyria, Partners, Open Models
Notebooks — Jupyter tutorials

Configuration

Environment variables for customization:

Variable	Default	Description
`MCP_DOCS_CACHE_DIR`	`~/.cache/mcp-google-agent-platform-docs`	Cache directory
`MCP_DOCS_CONTENT_TTL`	`72`	Page cache TTL (hours)
`MCP_DOCS_STRUCTURE_TTL`	`7`	Structure cache TTL (days)
`MCP_DOCS_DEFAULT_SOURCE`	`geap`	Default documentation source
`MCP_DOCS_HTTP_TIMEOUT`	`30`	HTTP timeout (seconds)

Development

# Clone
git clone https://github.com/OpenGerwin/mcp-google-agent-platform-docs.git
cd mcp-google-agent-platform-docs

# Install dependencies
uv sync

# Run server locally
uv run mcp-google-agent-platform-docs

# Test with MCP Inspector
uv run mcp dev src/mcp_google_agent_platform_docs/server.py

Architecture

mcp-google-agent-platform-docs/
├── sources/                    # YAML source configurations
│   ├── geap.yaml               # GEAP (primary)
│   └── vertex-ai.yaml          # Vertex AI (legacy)
├── src/mcp_google_agent_platform_docs/
│   ├── server.py               # FastMCP server + 4 tools
│   ├── source.py               # Source model (YAML loader)
│   ├── fetcher.py              # HTML → Markdown converter
│   ├── cache.py                # TTL cache manager
│   ├── discovery.py            # Sitemap-based page discovery
│   ├── search.py               # TF-IDF search engine
│   └── config.py               # Global configuration
└── tests/

License

MIT — see LICENSE.

Part of OpenGerwin MCP Servers

mcp-google-agent-platform-docs

mcp-google-agent-platform-docs

What is this?

Features

Quick Start

Install

Configure Claude Desktop

Configure Antigravity (Google)

Configure Cursor / VS Code

Tools

`search_docs`

`get_doc`

`list_sections`

`list_models`

Documentation Sources

GEAP Sections

Configuration

Development

Architecture

License

Maintenance

Resources

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