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2025-04-14

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Multi-Agent MCP Communication System

This project implements a multi-agent system that communicates with different MCP (Model Control Protocol) servers using Google's Agent-to-Agent protocol. The system consists of multiple specialized agents that can perform different tasks:

  • RAG Agent: Handles vector database operations and retrieval
  • Web Search Agent: Performs web searches
  • Function Call Agent: Executes specific function calls

Project Structure

.
├── agents/
│   ├── __init__.py
│   ├── base_agent.py
│   ├── rag_agent.py
│   ├── web_search_agent.py
│   └── function_call_agent.py
├── protocol/
│   ├── __init__.py
│   └── agent_protocol.py
├── config/
│   ├── __init__.py
│   └── settings.py
├── main.py
├── requirements.txt
└── README.md

Setup

  1. Install dependencies:
pip install -r requirements.txt
  1. Set up environment variables: Create a .env file with the following variables:
GOOGLE_APPLICATION_CREDENTIALS=path/to/your/credentials.json
MCP_SERVER_URLS={"rag": "url1", "web_search": "url2", "function_call": "url3"}
  1. Run the application:
python main.py

Usage

The system can be used by sending requests to the main orchestrator agent, which will coordinate with the specialized agents based on the task requirements.

License

MIT

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    Reviews

    3.1 (11)
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