Agent-MCP: Framework for creating multi-agent systems that enables coordinated, efficient AI collaboration through

by rinadelph · MCP Server · ★ 1.3k

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

How to install Agent-MCP

git clone https://github.com/rinadelph/Agent-MCP.git
npm install -g agent-mcp-node

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

Security audit verdict: SAFE · quality 68/100

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.

Quick Facts

Stars1,293
Forks180
LanguageTypeScript
CategoryMCP Server
Quality Score68/100
Open Issues20
Last Updated2026-03-28
Created2025-05-13
Platformsmcp, node
Est. Tokens~354k

About Agent-MCP

Agent-MCP 🚀 Advanced Tool Notice: This framework is designed for experienced AI developers who need sophisticated multi-agent orchestration capabilities. Agent-MCP requires familiarity with AI coding workflows, MCP protocols, and distributed systems concepts. We're actively working to improve documentation and ease of use.

Compatible Skills

These tools work well together with Agent-MCP for enhanced workflows:

  • oh-my-claudecode — semantic(0.18)+complementary+same_lang+similar_pop+shared_platform (56%)
  • kea-research — semantic(0.20)+complementary+same_lang+similar_pop+shared_platform (52%)

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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:

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