M

MCP Searxng 1g0

mcp - searxng is an MCP server example designed for AI agents, which implements the external information search function through the open - source meta - search engine SearXNG. The project demonstrates how to integrate SearXNG and Microsoft's markdownify tool to convert web page content into Markdown - formatted text and communicate with MCP clients via the SSE protocol.
2.5 points
33

What is mcp - searxng?

mcp - searxng is an MCP server example that integrates the open - source meta - search engine SearXNG and Microsoft's markdownify tool, capable of extracting web page content into Markdown - formatted text. It allows AI agents to obtain external information through the search engine and supports the SSE (Server - Sent Events) communication protocol.

How to use mcp - searxng?

You can start the mcp - searxng service via Docker or by directly running a Python script, and then use the MCP Inspector client to connect and call its provided search and web page content extraction functions.

Applicable scenarios

Suitable for application scenarios where AI agents need to obtain the latest network information, such as Q&A systems and research assistants. Particularly suitable for enterprise environments that focus on privacy protection.

Main features

Meta - search engine integrationIntegrate results from multiple search engines to provide a more comprehensive search experience
Web page content extractionConvert web page content into Markdown format for easy processing by AI agents
SSE communication protocolSupport Server - Sent Events to enable real - time communication between the server and the client

Advantages and limitations

Advantages
Integrate results from multiple search engines to improve search quality
Protect user privacy without recording search history
Support Chinese search, with results more in line with local needs
Open - source and self - hosted to ensure data security
Limitations
The Chinese support of non - Google search engines is still insufficient
Building a self - hosted service requires certain technical capabilities
Search results may not be as rich as those of commercial search engines

How to use

Install dependencies
Ensure that Docker and the Python runtime environment are installed on the system
Start the SearXNG service
Use Docker Compose to start the SearXNG meta - search engine
Start the MCP service
Use uv to run the MCP server
Connect using MCP Inspector
Start the MCP Inspector client and connect to the MCP server

Usage examples

Search for the latest technology newsAI agents can obtain the latest technology news through mcp - searxng
Extract the main content of a web pageConvert the content of a specified web page into Markdown format

Frequently Asked Questions

Why choose SearXNG instead of directly using the Google API?
How to improve the quality of Chinese searches?
What should I do if the MCP Inspector fails to connect?

Related resources

SearXNG official documentation
Official documentation for the SearXNG meta - search engine
MCP protocol official website
Official website of the Model Context Protocol
MCP Inspector repository
Source code of the MCP Inspector client
Tutorial on self - hosting SearXNG
A detailed tutorial on how to self - host a SearXNG instance
Installation
Copy the following command to your Client for configuration
Note: Your key is sensitive information, do not share it with anyone.
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