Integrations

Allows converting web pages to markdown format for easier reading and processing by AI assistants
Integrates with SearXNG's search API to provide web search functionality, enabling current information retrieval, specific resource discovery, and calculations

MCP Server

Give your AI assistants the power to help you more effectively. This server lets them safely access websites and search the web - with clear feedback about what's happening and helpful error messages when things go wrong.

🛠️ What tools does this server offer?
🏎️ How can I run it?
- 🐋 Using Docker (recommended)
- 💻 Running locally
🔌 How to connect
📚 Learn more about MCP
📄 License

🛠️ What tools does this server offer?

The server provides two powerful tools that help AI assistants solve real-world problems:

Tool	What it can do
Search	Search the web via SearXNG for current information, specific resources, or to perform calculations.
Web	Access websites and process their content. Can convert pages to markdown for easy reading, get the raw content, or extract links.

🏎️ How can I run it?

🐋 Using Docker (recommended)

The server runs in Docker containers to keep things safe and simple. Here's how to get started:

Install Docker if you haven't already
Create a file called docker-compose.yml with:
services: mcp-server: environment: # Required: URL for your SearXNG instance's Search API - SEARXNG_QUERY_URL=http://searxng:8080 # Optional: Configure network mode (SSE) for LibreChat etc. - SSE_HOST=0.0.0.0 - SSE_PORT=8080 # Optional: Set a custom User-Agent for web requests - USER_AGENT=MCP-Server/1.0 (github.com/tcpipuk/mcp-server) image: ghcr.io/tcpipuk/mcp-server/server:latest ports: # Only needed if using SSE_HOST/SSE_PORT - "8080:8080" # Expose port 8080 on host restart: unless-stopped stop_grace_period: 1s # Example SearXNG service (optional, adapt as needed) # searxng: # environment: # - SEARXNG_BASE_URL=http://searxng:8080 # Ensure SearXNG knows its own URL # image: searxng/searxng:latest # restart: unless-stopped # volumes: # - ./searxng:/etc/searxng:rw
Important: You must provide the SEARXNG_QUERY_URL environment variable, pointing to the Search API endpoint of your SearXNG instance (usually ending in / or /search).
Setting SSE_HOST and SSE_PORT enables network mode (Server-Sent Events), recommended for multi-container setups like LibreChat. If omitted, the server uses standard I/O.
Run docker compose up -d to start the server container (and optionally SearXNG).

Most people use this with either:

Claude Desktop - connects directly via stdio (omit SSE_HOST/SSE_PORT in docker-compose.yml).
LibreChat - connects over the network via SSE.

For LibreChat, add this to your librechat.yaml (assuming SSE_PORT=8080):

mcpServers:
  mcp-server:
    iconPath: "/path/to/icon.png" # Optional: Custom icon
    label: "MCP Web/Search" # Optional: Custom label shown in UI
    type: sse
    url: http://mcp-server:8080/sse # Adjust host/port if needed

💻 Running locally

Install uv (requires Python 3.13+):
curl -LsSf https://astral.sh/uv/install.sh | sh
Note: If you already have uv installed, update it with uv self update.
Create and activate a virtual environment:
uv venv source .venv/bin/activate # Linux/macOS # or .venv\Scripts\activate # Windows
Install dependencies from the lockfile:
uv sync
Set required environment variables:
# Required: URL for your SearXNG instance's Search API export SEARXNG_QUERY_URL="http://your-searxng-instance.local:8080" # Optional: Custom User-Agent export USER_AGENT="CustomAgent/1.0"
Run the server:
# For network (SSE) mode (e.g., for LibreChat) mcp-server --sse-host 0.0.0.0 --sse-port 3001 # For direct stdio mode (e.g., for Claude Desktop) mcp-server

Available arguments:

--sse-host: SSE listening address (e.g., 0.0.0.0). Enables SSE mode.
--sse-port: SSE listening port (e.g., 3001). Enables SSE mode.
--user-agent: Custom User-Agent string (overrides USER_AGENT env var).

Note: If neither --sse-host nor --sse-port are provided (and SSE_HOST/SSE_PORT env vars are not set), the server defaults to stdio mode. The SEARXNG_QUERY_URL environment variable is always required.

🔌 How to connect

You can connect to the server in two ways:

Method	What it means	When to use it
Network connection (SSE)	The server listens on a network port for connections.	Best for LibreChat or other networked clients.
Direct connection (stdio)	The server communicates directly via standard input/out.	Useful for local testing or Claude Desktop.

📚 Learn more about MCP

Here are a few resources to get you started:

📄 License

This project is licensed under the GPLv3. See the LICENSE file for full details.

This server cannot be installed

-

security - not tested

A

license - permissive license

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quality - not tested

A server that enables AI assistants like Claude to safely run Python code and access websites, processing data for better AI understanding while providing helpful error messages.