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SearXNG MCP Server

@The-AI-Workshops

代码仓库

基本信息

分类

其他

传输方式

stdio

作者

The-AI-Workshops

关于 SearXNG MCP Server

An MCP sse implementation of the Model Context Protocol (MCP) server integrated with SearXNG for providing AI agents with powerful, privacy-respecting search capabilities.

#docker#search-engine#dockerfile#ai#mcp#searxng#mcp-server

SearXNG 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": {
    "searxng-mcp-server": {
      "command": "docker",
      "args": [
        "run",
        "-d",
        "--name=searxng",
        "-p",
        "32768:8080",
        "-v",
        "/root/searxng:/etc/searxng",
        "\\"
      ]
    }
  }
}

SearXNG 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 SearXNG MCP Server?

The SearXNG MCP Server is an MCP SSE implementation that integrates the SearXNG metasearch engine with the Model Context Protocol. It enables AI agents to perform privacy-respecting web searches through a SearXNG instance. The server serves both as a ready-to-use tool and as a template for building custom MCP servers.

How to use SearXNG MCP Server?

Install the server using uv, Docker, or Smithery. Ensure Python 3.9+ and a running SearXNG instance are available. Configure a .env file with SEARXNG_BASE_URL, HOST, PORT, and TRANSPORT (sse or stdio). Run server.py directly, via Docker, or through Smithery depending on your chosen transport. Connect your MCP client (e.g., Claude Desktop, Windsurf) using the appropriate SSE URL or stdio configuration.

Key features of SearXNG MCP Server

  • SSE and stdio transport support for flexible integration.
  • Configurable SearXNG search parameters (categories, engines, time range, language, etc.).
  • Works with any MCP-compatible client.
  • Docker container deployment for easy setup.
  • Smithery management support for streamlined installation.

Use cases of SearXNG MCP Server

  • Provide AI agents with web search capability while respecting user privacy.
  • Integrate a self-hosted SearXNG instance into an MCP-connected assistant.
  • Serve as a starting template for building custom MCP servers with other backends.
  • Enable private, ad-free search for automated tasks or research agents.

常见问题

1

What are the prerequisites for running the server?

Python 3.9+ and access to a running SearXNG instance (local or remote) are required. Docker and uv are optional for containerized or faster setup.

2

What transport protocols are supported?

The server supports both SSE (Server-Sent Events) and stdio transports. Set the `TRANSPORT` environment variable to `sse` or `stdio` in your `.env` file.

3

How do I configure the SearXNG instance URL?

Set the `SEARXNG_BASE_URL` environment variable in your `.env` file, for example `http://172.17.0.1:32768` (default Docker bridge address).

4

Is the server compatible with n8n?

Yes, n8n users should use `host.docker.internal` instead of `localhost` in the SSE URL because n8n runs inside a separate container.

5

Can I extend the server with custom tools?

Yes, the repository is designed as a template. Add custom tools by decorating methods with `@mcp.tool()`, and add resources or prompts with `@mcp.resource()` and `@mcp.prompt()`.

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