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MCP Server

@tcpipuk

Repository

Basic information

Category

Other

License

GPL-3.0

Transports

stdio

Author

tcpipuk

About MCP Server

Provides tools to clients over the Model Context Protocol

MCP Server config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "mcp-server-tcpipuk": {
      "command": "uv",
      "args": [
        "venv"
      ]
    }
  }
}

MCP Server tools

Tool list not available yet

This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

What is MCP Server?

An MCP (Model Context Protocol) server that gives AI assistants the ability to safely access websites and search the web through two tools: Search and Web. Designed for users of Claude Desktop, LibreChat, and other MCP-compatible clients.

How to use MCP Server?

Run the server via Docker using the provided docker-compose.yml, or locally with Python 3.13+ and uv. Set the required SEARXNG_QUERY_URL environment variable pointing to your SearXNG instance. Choose SSE mode (network) for clients like LibreChat or stdio mode for direct connections like Claude Desktop.

Key features of MCP Server

  • Search the web via a SearXNG instance
  • Access websites and convert content to markdown
  • Get raw web content or extract links
  • SSE mode for networked client connections
  • stdio mode for direct local connections
  • Clear error messages and progress feedback

Use cases of MCP Server

  • Enable AI assistants to search for current web information
  • Let AI assistants access and process website content
  • Integrate web search capabilities into Claude Desktop
  • Add web browsing features to LibreChat workflows

Frequently asked questions

1

What tools does the server offer?

Two tools: Search (searches the web via SearXNG) and Web (accesses websites, converts pages to markdown, gets raw content, or extracts links).

2

How can I run the server?

Recommended method is Docker with `docker-compose.yml`. Alternatively, run locally using Python 3.13+ and `uv` with `uv sync` then `mcp-server` (stdio) or `mcp-server --sse-host 0.0.0.0 --sse-port 3001` (SSE).

3

How do I connect to the server?

Two modes: network connection via SSE (for LibreChat and other networked clients) or direct connection via stdio (for local testing or Claude Desktop).

4

What environment variables are required?

`SEARXNG_QUERY_URL` (URL to your SearXNG instance's Search API) is always required. Optional: `SSE_HOST`, `SSE_PORT`, and `USER_AGENT`.

5

What are the runtime dependencies?

Docker for the containerized approach, or Python 3.13+ with `uv` for local runs. A running SearXNG instance is required for search functionality.

Comments

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