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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
- Install dependencies:
pip install -r requirements.txt
- 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"}
- 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

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