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Google Custom Search MCP Server

@fbettag

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fbettag

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Franz Bettag

关于 Google Custom Search MCP Server

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#google-custom-search#api#python-server

Google Custom Search MCP Server 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "google-search": {
      "command": "uv",
      "args": [
        "run",
        "path/to/your/clone/of/google-custom-search-mcp"
      ],
      "env": {
        "GOOGLE_SERVICE_ACCOUNT_FILE": "/path/to/your/service-account-key.json",
        "GOOGLE_SEARCH_ENGINE_ID": "your-search-engine-id"
      }
    }
  }
}

Google Custom Search MCP Server 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

What is Google Custom Search MCP?

Google Custom Search MCP is an async Python MCP (Model Context Protocol) server that provides access to Google Custom Search API using service account authentication. It is designed for developers and AI assistants that need to perform Google Custom Search queries programmatically through the MCP protocol.

How to use Google Custom Search MCP?

Clone the repository, configure a Google Service Account and Custom Search Engine, then run uv run google-custom-search-mcp with the required environment variables GOOGLE_SERVICE_ACCOUNT_FILE or GOOGLE_SERVICE_ACCOUNT_BASE64 and GOOGLE_SEARCH_ENGINE_ID. The server supports STDIO mode (default) and HTTP mode (via --transport http). Docker and Helm deployments are available.

Key features of Google Custom Search MCP

  • Perform Google Custom Search queries with configurable result count
  • Service Account authentication (file path or base64)
  • Live integration tests against actual Google API
  • FastMCP Python SDK integration
  • Docker support with Alpine Linux image
  • UV compatibility for modern Python packaging

Use cases of Google Custom Search MCP

  • Building AI assistants that need real-time web search results
  • Enabling MCP clients to query Google Custom Search inside workflows
  • Integrating custom search into CI/CD pipelines with base64 auth
  • Deploying a custom search microservice on Kubernetes

常见问题

1

What is required to use Google Custom Search MCP?

You need a Google Cloud project with the Custom Search API enabled, a service account with a JSON key, and a Custom Search Engine ID. Environment variables authenticate the service account.

2

How does authentication work?

Authentication uses a Google Service Account, either via a file path (local development) or a base64-encoded JSON string (CI/CD). API keys are deprecated.

3

What are the API limits?

The Google Custom Search API provides 100 free search queries per day. Additional queries require billing setup. Service accounts have the

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