Agent-MCP MCP Server
rinadelph/Agent-MCP
[](https://agentrank-ai.com/tool/rinadelph--Agent-MCP/?utm_source=badge&utm_medium=readme&utm_campaign=agentrank_badge) Agent-MCP is a framework for creating multi-agent systems that enables coordinated, efficient AI collaboration through the Model Context Protocol (MCP). The system is designed for developers building AI applications that benefit from multiple specialized agents working in parallel on different aspects of a project.
claude mcp add agentrank -- npx -y agentrank-mcp-server Overview
rinadelph/Agent-MCP is a TypeScript MCP server. Agent-MCP is a framework for creating multi-agent systems that enables coordinated, efficient AI collaboration through the Model Context Protocol (MCP). The system is designed for developers building AI applications that benefit from multiple specialized agents working in parallel on different aspects of a project.
Ranked #10808 out of 24846 indexed tools.
Has 1,305 GitHub stars.
Ecosystem
Score Breakdown
1,305 stars → well-known project
Last commit 7mo ago → stale
18/38 issues closed → many open issues
7 contributors → small team
No dependents → no downstream usage
Weights: Freshness 20% · Issue Health 20% · Dependents 22% · Stars 10% · Contributors 8% · How we score →
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From the README
# 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. If you're new to AI-assisted development, consider starting with simpler tools and returning when you need advanced multi-agent capabilities. > > 💬 **Join the Community**: Connect with us on [Discord](https://discord.gg/7Jm7nrhjGn) to get help, share experiences, and collaborate with other developers building multi-agent systems. Multi-Agent Collaboration Protocol for coordinated AI software development. <div align="center"> </div> Think **Obsidian for your AI agents** - a living knowledge graph where multiple AI agents collaborate through shared context, intelligent task management, and real-time visualization. Watch your codebase evRead full README on GitHub →
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