SearXNG MCP server

Created By

nik-sharky3 months ago

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

# Search

# searxng

Overview Content Tools Comments

Overview

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

Clone the repository and navigate to the directory.
Install dependencies:
```
pip install -r requirements.txt
```

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

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.

Project Info

Created At

3 months ago

Updated At

3 months ago

Author Name

nik-sharky

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