SearxNG MCP Server

SearxNG MCP Server

Enables privacy-respecting web, image, video, and news searches through SearxNG metasearch engine, with options for URL fetching and time filtering.

Category
Visit Server

README

SearxNG MCP Server

A Model Context Protocol (MCP) server that provides search capabilities through SearxNG, the privacy-respecting metasearch engine.

PyPi: https://pypi.org/project/searxng-mcp-server/#description

Usage

Using uvx

You can also just pip install this but we recommend using uv.

# With command line argument (stdio transport)
uvx searxng-mcp-server --searxng-url https://searx.be

# With environment variable (stdio transport)
SEARXNG_URL=https://searx.be uvx searxng-mcp-server

# With HTTP transport on port 8080
uvx searxng-mcp-server --searxng-url https://searx.be --port 8080

# With HTTP transport using environment variable
SEARXNG_URL=https://searx.be MCP_PORT=8080 uvx searxng-mcp-server

Package link: https://pypi.org/project/searxng-mcp-server/

Using Docker/Podman

# With command line argument (stdio transport)
podman run --rm -i docker.io/icewreck/searxng-mcp-server:latest --searxng-url https://searx.be

# With environment variable (stdio transport)
podman run --rm -i -e SEARXNG_URL=https://searx.be docker.io/icewreck/searxng-mcp-server:latest

# With HTTP transport on port 8080
podman run --rm -i -e SEARXNG_URL=https://searx.be -p 8080:8080 docker.io/icewreck/searxng-mcp-server:latest --port 8080

Usage as Library

You can also use the SearxNG client directly in your Python projects. The client is fully async and requires async/await syntax.

For detailed examples, see the examples/client_example.py file in the repository.

The SearxNGClient can be easily integrated into custom AI agents as a search tool. All search methods are async and return structured response objects.

Available Tools

  • search_web: General web search with language and time filtering
  • search_images: Image search across multiple search engines
  • search_videos: Video search from various platforms
  • search_news: News search with time range filtering
  • fetch_url: Fetch content from a URL and convert it to markdown

Configuration

The server requires a SearxNG instance URL. You can provide it via:

  • Environment Variable: SEARXNG_URL=https://your-searxng-instance.com
  • Command Line Argument: --searxng-url https://your-searxng-instance.com

By default, the server uses stdio transport. To enable HTTP transport, set a port:

  • Environment Variable: MCP_PORT=8080
  • Command Line Argument: --port 8080

When a port is provided, the server listens on http://0.0.0.0:<port> using the streamable-http transport.

Optional: SEARXNG_TIMEOUT (default: 30), SEARXNG_USER_AGENT, LOG_LEVEL

Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Official
Featured
Local
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
graphlit-mcp-server

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official
Featured
TypeScript
Kagi MCP Server

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official
Featured
Python
E2B

E2B

Using MCP to run code via e2b.

Official
Featured
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured
Exa Search

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official
Featured