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Multi Tool AI Agent Using MCP Math Weather Server

MCP server: Multi Tool AI Agent Using MCP Math Weather Server

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npx multi-tool-ai-agent-using-mcp-math-weather-server

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Multi-Tool AI Agent using MCP

This project demonstrates how to build a tool-augmented AI agent using MCP (Model Context Protocol) and LangChain, where a single agent can interact with multiple external tools dynamically.

What I Built

Created two MCP servers:
- A Math server for arithmetic operations
- A Weather server exposed over HTTP
Built a client AI agent that:
- Connects to multiple MCP servers
- Automatically selects the correct tool based on the user query
- Uses an LLM to reason and invoke tools

Example Queries

User: what's (3 + 4) * 12?
User: what's the weather in dwarka sec-3 today?

## Tech Stack Used

- Python

- LangChain

- MCP (Model Context Protocol)

- FastMCP

- Groq LLM (qwen/qwen3-32b)

- AsyncIO

## Key Learnings

- How AI agents interact with external tools

- How MCP enables standardized tool communication

- Managing multiple tool servers (stdio + HTTP)

- Letting the model decide which tool to call and when