mcp-searxng: Private web search for AI assistants via SearXNG — supports Claude, Cursor, and any MCP client

by ihor-sokoliuk · MCP Server · ★ 1.4k

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

How to install mcp-searxng

npm install -g mcp-searxng
docker pull isokoliuk/mcp-searxng:latest

Taken from the project's README on GitHub. Check the security audit before running it.

Security audit verdict: SAFE · quality 77/100

None of the 43 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 43 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.

aiclaudecursorllmmcpmcp-servermcp-serversprivacysearchsearxng

Quick Facts

Stars1,359
Forks168
LanguageTypeScript
CategoryMCP Server
LicenseMIT
Quality Score77/100
Open Issues3
Last Updated2026-11-11
Created2024-12-23
Platformsbrowser, claude-code, mcp, node
Est. Tokens~17k

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.

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 43 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. It is a first-layer scan, not a manual audit — we say so rather than overstate it.

The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.

Sources & who's responsible:

View on GitHub → Browse MCP Server tools