SearXNG MCP is a Model Context Protocol server that allows AI assistants to perform web searches using the SearXNG metasearch engine, prioritizing user privacy.

How does it ensure privacy?

It uses SearXNG, a privacy-respecting metasearch engine that doesn't track your searches. You can also use your own private SearXNG instance.

Do I need to configure anything to get started?

No, SearXNG MCP works out-of-the-box by automatically selecting a random public SearXNG instance from SearX.space.

How do I integrate SearXNG MCP with Claude?

You can integrate SearXNG MCP with Claude Desktop or Claude in VSCode by adding a new MCP server with the specified command and environment configurations in Claude's settings.

Can I use my own SearXNG instance?

Yes, SearXNG MCP supports connecting to private SearXNG instances with basic authentication. You can configure the server with your instance's URL, username, and password.

SearXNG

Name: SearXNG
Author: tisDDM

bytisDDM

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開発者ツール

ウェブスクレイピングとデータ収集

データサイエンスとML

Enables AI assistants to perform privacy-respecting web searches using SearXNG.

SearXNG MCP Server is a Model Context Protocol (MCP) server designed to integrate SearXNG, a privacy-respecting metasearch engine, with AI assistants. It allows AI tools to seamlessly perform web searches, leveraging SearXNG's ability to aggregate results from various search engines while prioritizing user privacy. The server supports both public SearXNG instances (automatically selecting a random one from SearX.space for zero-configuration setup) and private, self-hosted instances with optional basic authentication. This integration empowers AI agents with up-to-date information sourced from the web, enhancing their capabilities and providing more comprehensive and context-aware responses.

主な機能

01Zero-configuration setup using random public SearXNG instances.

02Customizable search parameters including language, time range, and categories.

03Integrates with Claude Desktop, VSCode and Smolagents.

04Supports connection to private SearXNG instances with basic authentication.

05Returns privacy-focused, markdown-formatted search results.

ユースケース

01Integrating web search capabilities into AI assistants and chatbots.

02Enhancing the context awareness of AI models by providing access to real-time information.

03Building AI agents that can conduct research and summarize findings from the web.