SearxNG MCP Server
Wellknown found it in public sources; nobody has proven control of it yet. Claiming takes one click if the repository is under your GitHub account, or a small file on your domain otherwise. Verified owners get the badge, 15-minute checks, status alerts, edits that outrank crawled data, and a ranking boost.
Agents can do it too: POST https://wellknown.network/api/v1/claims with {"agent":"iflow-mcp-searxng-simple-mcp","method":"well_known_file"} — machine-readable steps at claim.json, guide at /docs/claim.
Everything here was measured by our prober or read from a registry. Nothing is self-reported.
Attributed to the source that supplied each field. Treated as claims, not facts.
# SearxNG MCP Server A Model Context Protocol (MCP) server that provides web search capabilities using SearxNG, allowing AI assistants like Claude to search the web. > *Created by AI with human supervision - because sometimes even artificial intelligence needs someone to tell it when to take a coffee break! 🤖☕* ## Overview This project implements an MCP server that connects to SearxNG, a privacy-respecting metasearch engine. The server provides a simple and efficient way for Large Language Models to search the web without tracking users. The server is specifically designed for LLMs and includes only essential features to minimize context window usage. This streamlined approach ensures efficient communication between LLMs and the search engine, preserving valuable context space for more important information. ### Features - Privacy-focused web search through SearxNG - Simple API for LLM integration - Compatible with Claude Desktop and other MCP-compliant clients - Configurable search parameters - Clean, formatted search results optimized for LLMs ## Integration with MCP-Compatible Applications ### Integration Examples #### Using pipx run (Recommended, no installation required) Create a `.clauderc` file in your home directory: ```json { "mcpServers": { "searxng": { "command": "pipx", "args": [ "run", "searxng-simple-mcp@latest" ], "env": { "SEARXNG_MCP_SEARXNG_URL": "https://your-instance.example.com" } } } } ``` #### Using uvx run (No installation required) ```json { "mcpServers": { "searxng": { "command": "uvx", "args": [ "run", "searxng-simple-mcp@latest" ], "env": { "SEARXNG_MCP_SEARXNG_URL": "https://your-instance.example.com" } } } } ``` #### Using Python with pip (requires installation) ```json { "mcpServers": { "searxng": { "command": "python", "args": ["-m", "searxng_simple_mcp.server"], "env": { …
Mapped onto the structured taxonomy from declared text and observed tool names. Confidence shown for derived entries.
Every source is kept verbatim. Field changes are logged as events.