広告掲載
MCP.so
ログイン

SearXNG MCP Server

@The-AI-Workshops

リポジトリ

基本情報

カテゴリ

その他

トランスポート

stdio

作者

The-AI-Workshops

SearXNG MCP Server について

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 の設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

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

SearXNG MCP Server のツール

ツール一覧はまだありません

この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。

ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。

概要

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.

よくある質問

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()`.

コメント

「その他」の他のコンテンツ

Soar Flight Booking MCP

Soar Flight Booking MCP is a remote MCP server available at https://mcp.soar.flights.

DeepMark

DeepMark helps teachers deliver rapid, consistent marking with meaningful feedback for every student — in a fraction of the time. What once took a week, now takes one free period.

Health by Dr Brad

Dr Brad Stanfield

Health by Dr Brad works out a health plan from your own results: which screening is due at your age, and evidence-based suggestions, each with the reason and the published guideline or study behind it. Your record is one

P

PickFu MCP

PickFu MCP is a Model Context Protocol (MCP) server that connects AI assistants, developers, marketers, product managers, and AI agents to PickFu's consumer research platform. It enables users to create surveys, conduct

Codelf

unbug

A search tool helps dev to solve the naming things problem.

14.2K
広告掲載