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Agent-MCP MCP Server

rinadelph/Agent-MCP

Score: 54.7 ↓ 3.5% Rank #10808 Agent Framework
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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.

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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

TypeScript NOASSERTION

Score Breakdown

StarsFreshnessIssue HealthContributorsDependents
Stars 15% 1,305

1,305 stars → well-known project

Freshness 25% 7mo ago

Last commit 7mo ago → stale

Issue Health 25% 47%

18/38 issues closed → many open issues

Contributors 10% 7

7 contributors → small team

Dependents 25% 0

No dependents → no downstream usage

npm Downloads N/A
PyPI Downloads N/A
Forks 182
Description Detailed
License NOASSERTION

Weights: Freshness 20% · Issue Health 20% · Dependents 22% · Stars 10% · Contributors 8% · How we score →

How to Improve

License low impact

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

Freshness high impact

Last commit was 213 days ago — a recent commit would boost your freshness score

Issue Health high impact

You have 20 open vs 18 closed issues — triaging stale issues improves health

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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.

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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 →

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