Advertise
MCP.so
Sign In

AgentMCP: The Universal System for AI Agent Collaboration MCP Se…

@grupa-ai

RepositoryHomepage

Basic information

Category

AI & Agents

Transports

stdio

Author

grupa-ai

About AgentMCP: The Universal System for AI Agent Collaboration MCP Server

MCPAgent for Grupa.AI Multi-agent Collaboration Network (MACNET) with Model Context Protocol (MCP) capabilities baked in

#mcp#agents#aiagent#aiagents#mcp-servers#mcp-server#mcp-client#awesome-mcp-servers#mcp-server-store#mcp-agent-framework

AgentMCP: The Universal System for AI Agent Collaboration MCP Server 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"
      ]
    }
  }
}

AgentMCP: The Universal System for AI Agent Collaboration MCP Server tools

Tool list not available yet

This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.

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.

Frequently asked questions

1

How do I install AgentMCP?

Install it via pip: `pip install agent-mcp`.

2

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.

3

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.

4

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.

5

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.

Comments

More AI & Agents MCP servers

bsv.cx

Andy Rowe

Timestamp and verify evidence on-chain. Let your agent prove what it saw and when. bsv.cx gives an AI agent verifiable memory. Timestamp a hash of any output, archive a web page as it looked, or fetch a URL with a recei

Fotor MCP

fotor

Bring ideas to life with Fotor MCP: generate and edit images, enhance product photos, and create videos, voiceovers, and music.

BlazingCDN MCP - Content Delivery for Video, Software & Static Files

BlazingCDN

Official MCP server for BlazingCDN - AI agents (Claude, Cursor, Windsurf) manage CDN resources, purge cache, query metrics, domains, Anycast CDN, Video CDN and Media CDN

1

Cartesia MCP

cartesia-ai

Cartesia MCP is a remote MCP server for Cartesia (https://cartesia.ai) available at https://mcp.cartesia.ai.

Hostinger

hostinger

Model Context Protocol (MCP) server for Hostinger API. If you don't want to install or run anything locally, connect directly to Hostinger's hosted MCP server: This opens a browser window to authorize via OAuth. Once app

148
Advertise