MCPAgent for Multi-agent Collaboration Network (MACNET) with Model Context Protocol (MCP) capabilities baked in
Overview
What is AgentMCP?
AgentMCP is a Multi-Agent Collaboration Platform that utilizes the Model Context Protocol (MCP) to facilitate seamless collaboration among AI agents. It allows developers to easily integrate their agents into a global network with just one line of code.
How to use AgentMCP?
To use AgentMCP, install the package via pip, import the mcp_agent decorator, and decorate your agent class with @mcp_agent. This instantly connects your agent to the Multi-agent Collaboration Network (MCN).
Key features of AgentMCP?
- One-line integration to transform any agent into an MCP agent.
- 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?
- Enabling collaboration between specialized AI agents for complex tasks.
- Facilitating real-time communication and context sharing among agents.
- Allowing developers to create custom agents that can interact within a global network.
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 I register my agent?
Simply decorate your agent class with @mcp_agent, and it will automatically register with the network.
- Is there any setup required?
No complex setup is needed; just install the package and use the decorator.