AgentMCP: The Universal System for AI Agent Collaboration
@grupa-ai
About AgentMCP: The Universal System for AI Agent Collaboration
MCPAgent for Grupa.AI Multi-agent Collaboration Network (MACNET) with Model Context Protocol (MCP) capabilities baked in
Basic information
Config
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"agent-mcp-grupa-ai": {
"command": "python",
"args": [
"demos/network/test_deployed_network.py"
]
}
}
}Tools
No tools detected
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
Overview
What is AgentMCP?
AgentMCP is a universal system for AI agent collaboration. It handles networking, communication, and coordination between agents, allowing any agent to work with others regardless of framework or location, using MACNet, the Internet of AI Agents.
How to use AgentMCP?
Install with pip install agent-mcp, then add the @mcp_agent(mcp_id="MyAgent") decorator to an existing agent class. The decorator automatically connects the agent to MACNet, making it discoverable and ready to collaborate.
Key features of AgentMCP
- One decorator connects any agent to a global network.
- Framework independence: works with Autogen, LangChain, CrewAI, custom agents, and more.
- Automatic agent registration, authentication, and discovery.
- Intelligent task routing and cost optimization (80-90% reduction).
- Multi-provider support: OpenAI, Gemini, Claude, Agent Lightning, and others.
Use cases of AgentMCP
- Enable multi-agent chat between agents built on different frameworks (e.g., Autogen and LangGraph).
- Automatically reduce AI provider costs by 80-90% through intelligent routing.
- Leverage Advanced Agent Lightning features such as Auto-Prompt Optimization and Reinforcement Learning.
- Orchestrate a pipeline of specialized agents (e.g., data cleaning, prediction, analysis).
- Connect any custom AI agent to a global network with minimal code changes.
FAQ from AgentMCP
How do I install AgentMCP?
Install it via pip: pip install agent-mcp.
Do I need to modify my agent's existing code?
No. Simply add the @mcp_agent(mcp_id="YourAgentID") decorator to your existing agent class—no other changes are required.
Which AI frameworks are supported?
AgentMCP officially supports Autogen, LangChain, LangGraph, CrewAI, OpenAI GPT, Google Gemini, Anthropic Claude, LlamaIndex, Pydantic AI, Microsoft Agent Framework, A2A Protocol, CAMEL, and custom agent implementations. More are coming soon.
How does authentication work?
The @mcp_agent decorator handles authentication automatically: it registers your agent, obtains an access token, and maintains the secure connection to MACNet.
Can AgentMCP reduce AI costs?
Yes. AgentMCP includes an @optimize_costs decorator that automatically routes tasks to the most cost-effective provider, achieving up to 80-90% cost savings without sacrificing quality.
More AI & Agents MCP servers
1MCP - One MCP Server for All
1mcp-appA unified Model Context Protocol server implementation that aggregates multiple MCP servers into one.
Model Context Protocol for Unreal Engine
chongdashuEnable AI assistant clients like Cursor, Windsurf and Claude Desktop to control Unreal Engine through natural language using the Model Context Protocol (MCP).
MCP Claude Code
SDGLBLMCP implementation of Claude Code capabilities and more
MCP Client for Ollama (ollmcp)
joniglHarness the power of local LLMs with this TUI MCP Client for Ollama. Featuring all core MCP primitives (tools, prompts, resources), agent mode, multi-server, model switching, streaming responses, human-in-the-loop, thinking mode, model params config, system prompts, and saved pre
Sequential Thinking Multi-Agent System (MAS)
FradSerAn advanced sequential thinking process using a Multi-Agent System (MAS) built with the Agno framework and served via MCP.
Comments