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SearXNG MCP Server

An MCP server that enables web search capabilities by integrating with a SearXNG instance to aggregate results from over 130 engines. It allows users to perform filtered searches across categories like news, science, and social media while supporting advanced parameters for language and time range.

glama
Updated
Mar 7, 2026

SearXNG MCP Server

A Model Context Protocol (MCP) server that provides web search capabilities by integrating with a SearXNG instance.

Features

  • Web Search: Perform powerful aggregated searches across multiple engines.
  • Discovery: Programmatically retrieve available categories and engines.
  • Stateless HTTP: Compatible with any standard JSON-RPC client.
  • Flexible Configuration: Supports environment variables and command-line arguments.

Prerequisites

  • Python 3.10+
  • A running SearXNG instance.

Installation

  1. Clone the repository and navigate to the directory.
  2. Install dependencies:
    pip install -r requirements.txt
    
  3. Set up your .env file (optional):
    SEARXNG_URL=http://your-searxng-instance:8080
    MCP_PORT=32123
    MCP_HOST=127.0.0.1
    

Usage

Run the server using uv or standard python:

python searxng_mcp.py --transport http --port 32123 --searxng http://searx.lan

Run with Docker

  1. Build the image:

    docker build -t searxng-mcp .
    
  2. Run the container:

    docker run -d \
      -p 32123:32123 \
      -e SEARXNG_URL=http://your-searxng-instance:8080 \
      --name searxng-mcp \
      searxng-mcp
    

Transport Options

  • stdio: Standard input/output (default for some MCP clients).
  • http: Stateless HTTP (streamable-http).
  • sse: Server-Sent Events.

Search Abilities Guide

SearXNG aggregates results from various sources. This guide outlines the capabilities available through the searxng_search tool.

Search Categories

Categories help refine your search by content type. Use these in the categories parameter (comma-separated).

CategoryDescription
generalDefault web search (Google, Brave, DuckDuckGo, etc.)
imagesImage search results
videosVideo content from YouTube, Vimeo, etc.
newsRecent news articles
mapGeographical and map information
itIT-related searches (StackOverflow, GitHub, etc.)
scienceScientific papers and articles (ArXiv, Google Scholar)
filesTorrent and file searches
social_mediaPosts and profiles from social platforms

Supported Engines

SearXNG can query over 130 engines. Configured engines typically include:

  • Web: Google, Brave, DuckDuckGo, Qwant, Startpage
  • Knowledge: Wikipedia, Wikidata
  • Development: GitHub, StackOverflow, PyPI
  • Social: Reddit, Twitter/X

Advanced Search Parameters

  • categories: Filter by specific types (e.g., news,it).
  • engines: Force specific engines (e.g., google,wikipedia).
  • language: Specify search language (e.g., en, es, fr).
  • pageno: Navigate through multiple pages of results.
  • time_range: Filter by date (day, month, year).
  • safesearch: Control content filtering (0=None, 1=Moderate, 2=Strict).

Programmatic Discovery

Use the searxng_get_info tool to dynamically retrieve the list of enabled categories and engines from your instance.

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