AgentMCP: The Universal System for AI Agent Collaboration

What is AgentMCP?

AgentMCP is a Multi-Agent Collaboration Platform (MCP) that enables seamless collaboration between AI agents using the Model Context Protocol (MCP). It allows developers to convert any agent into an MCP-compatible agent with a simple decorator.

How to use AgentMCP?

To use AgentMCP, install it via pip and decorate your agent class with @mcp_agent. This single line of code integrates your agent into the Multi-Agent Collaboration Network (MACNet).

Key features of AgentMCP?

• One-line integration to convert agents into MCP agents.
• Automatic network registration for agents.
• Framework-agnostic, compatible with various AI frameworks.
• Built-in adapters for popular frameworks like Langchain and CrewAI.

Use cases of AgentMCP?

1. Collaborating on complex tasks with multiple specialized agents.
2. Enabling agents to share context and knowledge across different frameworks.
3. Creating a network of agents that can discover and utilize each other's capabilities.

FAQ from AgentMCP?

• Can I use AgentMCP with any AI framework?

Yes! AgentMCP is designed to work with any AI framework or custom implementation.

• How do agents communicate in the network?

Agents communicate through a centralized task management system using HTTP/FastAPI.

• Is there a community for support?

Yes! Join our Discord community for discussions and support.