mcp-searxng — MCP Server by ihor-sokoliuk

by ihor-sokoliuk · MCP Server · ★ 726

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About mcp-searxng

SearXNG MCP Server An MCP server implementation that integrates the SearXNG API, providing web search capabilities. How It Works is an MCP (Model Context Protocol) server — it is a separate process that AI assistants (such as Claude) connect to in order to perform web searches. It communicates with a SearXNG instance over SearXNG's HTTP JSON API. Not a SearXNG plugin: This project cannot be installed as a native SearXNG plugin (i.e., a Python module loaded inside the SearXNG process). It is a standalone MCP server that runs alongside your SearXNG instance and queries it via its API. You point it at any existing SearXNG instance by setting the environment variable. AI Assistant (e.g. Claude) │ MCP protocol ▼ mcp-searxng (this project — Node.js process) │ HTTP JSON API (SEARXNGURL)

aillmllm-agentmcpmcp-servermcp-serversmcp-toolssearchsearch-enginesearxng

Quick Facts

Stars726
Forks109
LanguageTypeScript
CategoryMCP Server
LicenseMIT
Quality Score58.136/100
Open Issues9
Last Updated2026-04-28
Created2024-12-23
Platformsmcp, node
Est. Tokens~23k

mcp-searxng alternative? Top 6 similar tools

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Frequently Asked Questions

What is mcp-searxng?

mcp-searxng is MCP Server for SearXNG. It is categorized as a MCP Server with 726 GitHub stars.

What programming language is mcp-searxng written in?

mcp-searxng is primarily written in TypeScript. It covers topics such as ai, llm, llm-agent.

How do I install or use mcp-searxng?

You can find installation instructions and usage details in the mcp-searxng GitHub repository at github.com/ihor-sokoliuk/mcp-searxng. The project has 726 stars and 109 forks, indicating an active community.

What license does mcp-searxng use?

mcp-searxng is released under the MIT license, making it free to use and modify according to the license terms.

What are the best alternatives to mcp-searxng?

The top alternatives to mcp-searxng on Agent Skills Hub include mcp-router, jadx-ai-mcp, SearChat. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.

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