agent-search-mcp: Free-first Chinese and English web search MCP using zero-key sources and inspectable evidence

by lennney · MCP Server · ★ 111

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

How to install agent-search-mcp

npx agent-search-mcp
git clone https://github.com/lennney/agent-search-mcp.git

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

Security audit verdict: SAFE · quality 75/100

None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 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.

ai-agentchinese-searchclaudecodexcursorevidence-firstmcpmcp-servermetasearchmodel-context-protocol

Quick Facts

Stars111
Forks10
LanguageTypeScript
CategoryMCP Server
LicenseApache-2.0
Quality Score75/100
Last Updated2026-09-16
Created2026-06-22
Platformsbrowser, claude-code, codex, mcp, node
Est. Tokens~16k

About agent-search-mcp

Agent Search MCP Free, token-efficient web search for AI agents. Start with eight zero-key sources. Spend less context through waterfall stopping and compact output. Route Chinese queries natively and escalate to optional commercial APIs only when needed. is all you need.

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 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