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.
README
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.
Example of compose.yml to run SearXNG with MCP server
services:
searxng:
image: searxng/searxng:latest
expose:
- 8080
volumes:
- ./searxng/etc/:/etc/searxng/
- ./searxng/data/:/var/cache/searxng/
restart: always
searxng-mcp:
image: ghcr.io/aicrafted/searxng-mcp:latest
restart: unless-stopped
depends_on:
# Ensure SearXNG starts before the MCP server
- searxng
environment:
SEARXNG_URL: http://searxng:8080
MCP_HOST: 0.0.0.0
MCP_PORT: 32123
MCP_TRANSPORT: "http"
ports:
- "32123:32123"
Prerequisites
- Python 3.10+
- A running SearXNG instance.
Installation
- Clone the repository and navigate to the directory.
- Install dependencies:
pip install -r requirements.txt - Set up your
.envfile (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
-
Build the image:
docker build -t searxng-mcp . -
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).
| Category | Description |
|---|---|
general |
Default web search (Google, Brave, DuckDuckGo, etc.) |
images |
Image search results |
videos |
Video content from YouTube, Vimeo, etc. |
news |
Recent news articles |
map |
Geographical and map information |
it |
IT-related searches (StackOverflow, GitHub, etc.) |
science |
Scientific papers and articles (ArXiv, Google Scholar) |
files |
Torrent and file searches |
social_media |
Posts 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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