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mcp-google-agent-platform-docs

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mcp-google-agent-platform-docs

为 AI 智能体提供 Google AI 平台文档的 MCP 服务器。

Python 3.10+ MCP License: MIT

OpenGerwin MCP Servers 的一部分

这是什么？

一个 MCP (Model Context Protocol) 服务器，让 AI 智能体能够直接访问 Google 的 AI 平台文档 — 包括当前的 Gemini Enterprise Agent Platform (GEAP) 和旧版的 Vertex AI Generative AI 文档。

您的 AI 助手无需再对 API 细节进行幻觉猜测，而是可以实时查阅实际的文档。

Related MCP server: RAG Docs MCP Server

功能特性

  • 🔍 全文搜索：涵盖 3400 多页文档

  • 📄 按需获取：根据需要下载并缓存页面

  • 🗂️ 双重来源：当前的 GEAP + 旧版 Vertex AI 文档

  • ⚡ 智能缓存：72 小时 TTL，网络错误时使用过期缓存作为后备

  • 🗺️ 自动发现：通过站点地图扫描（每周）发现新页面

  • 🧩 即插即用：适用于 Claude Desktop、Cursor、VS Code 以及任何 MCP 客户端

快速入门

安装

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

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

配置 Claude Desktop

添加到您的 claude_desktop_config.json：

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

配置 Antigravity (Google)

添加到 ~/.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"
      ]
    }
  }
}

配置 Cursor / VS Code

添加到您的 MCP 设置中：

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

工具

search_docs

通过关键词搜索文档。

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

get_doc

获取特定页面的完整内容。

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

list_sections

浏览文档结构。

list_sections(source="geap")

list_models

所有可用 AI 模型（Gemini、Imagen、Veo、Claude 等）的快速参考。

list_models()

文档来源

来源 ID

平台

页面数

状态

geap

Gemini Enterprise Agent Platform

2300+

主要 (当前)

vertex-ai

Vertex AI Generative AI

1100+

旧版 (归档)

GEAP 章节

  • Agent Studio — 可视化智能体构建器

  • Agents → Build — 运行时、ADK、Agent Garden、RAG 引擎

  • Agents → Scale — 会话、记忆库、代码执行

  • Agents → Govern — 策略、智能体网关、模型防护 (Model Armor)

  • Agents → Optimize — 可观测性、评估、质量警报

  • Models — Gemini、Imagen、Veo、Lyria、合作伙伴、开源模型

  • Notebooks — Jupyter 教程

配置

用于自定义的环境变量：

变量

默认值

描述

MCP_DOCS_CACHE_DIR

~/.cache/mcp-google-agent-platform-docs

缓存目录

MCP_DOCS_CONTENT_TTL

72

页面缓存 TTL (小时)

MCP_DOCS_STRUCTURE_TTL

7

结构缓存 TTL (天)

MCP_DOCS_DEFAULT_SOURCE

geap

默认文档来源

MCP_DOCS_HTTP_TIMEOUT

30

HTTP 超时时间 (秒)

开发

# 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

架构

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/

许可证

MIT — 参见 LICENSE。

OpenGerwin MCP Servers 的一部分

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