Multi-Agent Tools Platform

This project provides a modular, production-ready agentic system for advanced math, research, weather, and summarization tasks, using FastMCP, LangChain, and FastAPI.

Features

• Five core tools: Math, Search, Weather, Wikipedia, Summarizer (tools_server.py)

• Three specialized agents: Research, Math, Meteo (agents.py)

• HTTP API endpoints: FastAPI server exposes each agent (api_servers.py)

• Unified MCP toolbox: Wraps APIs and provides a smart supervisor tool (agent_tools.py)

Related MCP server: MCP Multi-Agent Server

Setup

1. Clone & Install

cd C:/Users/kingr/CascadeProjects
python -m venv venv
venv\Scripts\activate
pip install -r requirements.txt

2. Environment Variables

Create a .env file or set these in your shell:

AZURE_DEPLOYMENT=your-azure-deployment-name
OPENAI_API_VERSION=2023-05-15

3. Run Components (in separate terminals)

python tools_server.py
python api_servers.py
python agent_tools.py

• The FastAPI server runs on http://127.0.0.1:8000

• Use an MCP client to interact with the supervisor tool in agent_tools.py

File Structure

• tools_server.py – Five tools, FastMCP server

• agents.py – Three ReAct agents, using LangChain and FastMCP

• api_servers.py – FastAPI server, exposes each agent

• agent_tools.py – MCP toolbox, API wrappers, supervisor

• requirements.txt – All dependencies

• .env.example – Example environment file

Testing

You can add tests using pytest. Example test files can be placed in a tests/ directory.

License

MIT