greenfish-webtools-mcp

About The Project

greenfish-webtools-mcp is a Model Context Protocol server that equips AI assistants with live web access. It exposes two tools: web search and URL content extraction.

The key design choice is that this server does not talk to any proprietary search API. Instead, it delegates all search work to your own SearXNG instance — a self-hosted, actively maintained meta-search engine that aggregates results from multiple search providers and exposes a stable JSON API that won't change or be deprecated without notice. You spin up SearXNG, this server connects to it and passes results straight to the model.

greenfish_websearch sends a query to SearXNG and returns a ranked, deduplicated list of results. greenfish_fetch_url fetches a specific page and returns its main readable content, stripped of navigation, ads, and boilerplate using trafilatura.

Related MCP server: LLM Researcher

Built With

Getting Started

Before anything else, make sure you have Python 3.10+ and uv installed. You will also need a running SearXNG instance with JSON output enabled. The quickest way to get one is via Docker:

docker run -d --name searxng -p 1818:8080 searxng/searxng

After that, open the SearXNG admin interface, go to Preferences → General, and enable json as an output format. Alternatively, find settings.yml in the SearXNG container and add json to the search.formats list, then restart the container.

Now clone this repository and install the Python dependencies:

git clone https://github.com/DumbGreenFish/GreenFishWebtoolsMCP.git
cd greenfish-webtools-mcp
uv sync

That's it. No API keys, no accounts.

Usage

Register the server in your MCP client configuration file. The example below works for Claude Desktop and most other clients that accept the standard JSON format:

{
  "mcpServers": {
    "greenfish-webtools": {
      "command": "uv",
      "args": [
        "--directory",
        "/path/to/greenfish-webtools-mcp",
        "run",
        "app.py"
      ],
      "env": {
        "SEARXNG_URL": "http://127.0.0.1:1818/search"
      }
    }
  }
}

Replace /path/to/greenfish-webtools-mcp with the actual path to the cloned repository on your machine, and adjust SEARXNG_URL to match the address where your SearXNG instance is running. Once the MCP server starts, the AI assistant will have access to greenfish_websearch and greenfish_fetch_url automatically.

Roadmap

• Support for additional SearXNG parameters (time range, search categories)

• Configurable result ranking and deduplication strategy

• Multi-language documentation

See the open issues for a full list of proposed features and known issues.

Contributing

Contributions are what make the open source community such an amazing place to learn, inspire, and create. Any contributions you make are greatly appreciated.

If you have a suggestion that would make this better, please fork the repo and create a pull request. You can also open an issue with the tag "enhancement". Don't forget to give the project a star — thanks!

License

Distributed under the GNU GPLv3 License. See LICENSE for more information.

Contact

Project Link: https://github.com/https://github.com/DumbGreenFish/GreenFishWebtoolsMCP

Acknowledgments

This project would not exist without SearXNG, which does all the actual search work. Thanks also to the authors of FastMCP, trafilatura, and httpx.