rinadelph/Agent-MCP

Score: 46.5 Rank #362

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.

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 #362 out of 25632 indexed tools.

In the top 2% of all indexed tools.

Has 1,193 GitHub stars.

Ecosystem

TypeScript NOASSERTION

Signal Breakdown

Stars 1,193

Freshness 25d ago

Issue Health 52%

Contributors 7

Dependents 0

Forks 152

Description Detailed

License NOASSERTION

How to Improve

License low impact

Add an MIT or Apache-2.0 license to signal trust and enable adoption

Dependents medium impact

No downstream dependents detected yet — adoption by other projects is the strongest trust signal

Badge

Markdown

[![AgentRank](https://agentrank-ai.com/api/badge/tool/rinadelph--Agent-MCP)](https://agentrank-ai.com/tool/rinadelph--Agent-MCP)

HTML

<a href="https://agentrank-ai.com/tool/rinadelph--Agent-MCP"><img src="https://agentrank-ai.com/api/badge/tool/rinadelph--Agent-MCP" alt="AgentRank"></a>

Details

Stars: 1,193
Forks: 152
Open Issues: 16
Closed Issues: 17
Contributors: 7
Dependents: —
Language: TypeScript
License: NOASSERTION
Last Commit: 25d ago

Matched Queries

"model context protocol""model-context-protocol"

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 ev

Read full README on GitHub →

View on GitHub →

Are you the maintainer? Claim this listing