searxng-mcp
Privacy-focused web search MCP server using SearXNG with Streamable HTTP transport, supporting authentication and advanced search parameters.
README
SearXNG MCP Server
A Model Context Protocol (MCP) server that provides privacy-focused web search capabilities through SearXNG, using Streamable HTTP transport.
Features
- Privacy-Focused Search: Leverages SearXNG for anonymous, tracker-free web searches
- Streamable HTTP Transport: Modern HTTP-based MCP protocol for remote access
- Environment Variables: All configuration via environment variables
- HTTP Basic Auth: Support for authentication-protected SearXNG instances
- Advanced Search Parameters: Support for categories, language filters, and time ranges
- Async Architecture: Built with async/await for non-blocking operations
Installation
# Clone the repository
git clone <repo-url>
cd searxng-mcp
# Install dependencies
pip install -e .
# Or using uv
uv pip install -e .
Configuration
All configuration is done via environment variables:
| Variable | Description | Default |
|---|---|---|
SEARXNG_BASE_URL |
Base URL of your SearXNG instance | http://127.0.0.1:8888 |
SEARXNG_USERNAME |
Username for HTTP Basic Auth (optional) | - |
SEARXNG_PASSWORD |
Password for HTTP Basic Auth (optional) | - |
SEARXNG_TIMEOUT |
Request timeout in seconds | 10 |
MAX_RESULTS_LIMIT |
Maximum results allowed per query | 50 |
HOST |
Server host address | 0.0.0.0 |
PORT |
Server port | 3000 |
BASE_URL |
Base URL path for the MCP server | /searxng-mcp |
LOG_LEVEL |
Logging verbosity | INFO |
Using Environment File
Create a searxng.env file from the example:
cp searxng.env.example searxng.env
Edit searxng.env with your settings:
# SearXNG Configuration
SEARXNG_BASE_URL=https://example.com/searxng
SEARXNG_USERNAME=your_username
SEARXNG_PASSWORD=your_password
SEARXNG_TIMEOUT=10
MAX_RESULTS_LIMIT=50
# Server Configuration
HOST=0.0.0.0
PORT=3000
BASE_URL=/searxng-mcp
# Logging
LOG_LEVEL=INFO
Running
Using Python (with env file)
# Load from searxng.env file and run
export $(grep -v '^#' searxng.env | xargs) && python -m searxng_mcp
Using CLI
# With environment variables inline
SEARXNG_BASE_URL=https://example.com/searxng \
SEARXNG_USERNAME=your_username \
SEARXNG_PASSWORD=your_password \
searxng-mcp
Using Docker
Build the image:
docker build -t searxng-mcp .
Run with environment file:
docker run -d \
--name searxng-mcp \
--env-file searxng.env \
-p 127.0.0.1:3000:3000 \
searxng-mcp
Run with inline environment variables:
docker run -d \
--name searxng-mcp \
-e SEARXNG_BASE_URL=https://example.com/searxng \
-e SEARXNG_USERNAME=your_username \
-e SEARXNG_PASSWORD=your_password \
-e HOST=0.0.0.0 \
-e PORT=3000 \
-p 127.0.0.1:3000:3000 \
searxng-mcp
SearXNG Instance
You need a running SearXNG instance. Options:
- Local:
docker run -d --name searxng -p 8888:8080 searxng/searxng:latest - Remote: Use any public or private SearXNG instance
If your SearXNG instance is protected with HTTP Basic Auth, set SEARXNG_USERNAME and SEARXNG_PASSWORD.
MCP Client Configuration
Configure your MCP client to connect to this server:
{
"mcpServers": {
"searxng": {
"type": "streamable-http",
"url": "http://localhost:3000"
}
}
}
If using a reverse proxy:
{
"mcpServers": {
"searxng": {
"type": "streamable-http",
"url": "http://your-server/searxng-mcp"
}
}
}
Usage
Once connected, use the web_search tool:
Basic Search
Search for "Python async programming tutorials"
Search with Maximum Results
Search for "machine learning news" with max_results=20
Category-Specific Search
Available categories:
general- General web searchnews- News articlesimages- Image searchvideos- Video contentfiles- File downloadsscience- Scientific papers and resourcesit- IT and tech resources
Language-Specific Search
Use ISO 639-1 language codes: en, de, fr, es, zh, ja, etc.
Time-Range Filtered Search
Available time ranges: day, week, month, year
Using with Reverse Proxy
For production deployment with a custom base URL, use a reverse proxy:
Nginx Example
location /searxng-mcp/ {
proxy_pass http://127.0.0.1:3000/;
proxy_http_version 1.1;
proxy_set_header Upgrade $http_upgrade;
proxy_set_header Connection "upgrade";
proxy_set_header Host $host;
proxy_set_header X-Real-IP $remote_addr;
}
License
MIT License
Recommended Servers
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.
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.
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.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
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.
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.
E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
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.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.