by rinadelph · MCP Server · ★ 1.2k
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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 to get help, share experiences, and collaborate with other developers building multi-agent systems. Multi-Agent Collaboration Protocol for coordinated AI software development. 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 evolve as specialized agents work in parallel, never losing context or stepping on each other's work. Why Multiple Agents? Beyond the philosophical issues, traditional AI coding assistants hit practical limitations: Context windows overflow on large codebases Knowledge gets lost between convers
| Stars | 1,188 |
| Forks | 149 |
| Language | TypeScript |
| Category | MCP Server |
| Quality Score | 29.25/100 |
| Open Issues | 16 |
| Last Updated | 2026-02-19 |
| Created | 2025-05-13 |
| Platforms | mcp, node |
| Est. Tokens | ~354k |
These tools work well together with Agent-MCP for enhanced workflows:
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Agent-MCP is 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 . It is categorized as a MCP Server with 1.2k GitHub stars.
Agent-MCP is primarily written in TypeScript.
You can find installation instructions and usage details in the Agent-MCP GitHub repository at github.com/rinadelph/Agent-MCP. The project has 1.2k stars and 149 forks, indicating an active community.