🌦️ MCP Weather Assistant

An AI agent that fetches live weather data using an MCP server built with FastMCP and the OpenAI Agent SDK.
This project demonstrates how LLMs/Agents can interact with external tools/APIs through MCP.

🚀 Features

• ✅ MCP server built with FastMCP

• ✅ Weather API integration

• ✅ AI Agent powered by OpenAI Agent SDK

• ✅ Asynchronous execution with httpx + asyncio

• 🔜 Future: Web Search tool integration for internet access

🛠️ Tech Stack

• FastMCP → Build Model Context Protocol servers easily.
• OpenAI Agent SDK → Create agents that can use MCP tools.
• OpenRouter → Access LLMs through OpenRouter API.
• httpx → Async HTTP client for API requests.
• Python (asyncio) → Non-blocking async runtime.

📚 What I Learned

• Building MCP servers that expose external APIs as tools.
• Integrating MCP with OpenAI Agent SDK.
• Designing structured responses for LLM consumption.
• Managing async workflows in Python for better performance.

⚙️ Setup & Installation

1. Clone the repository

git clone https://github.com/Sharul-repo/FastMCP-OpenAI-Agent-SDK-powered-assistant-.git

# Install dependencies using uv (reads pyproject.toml + uv.lock)
uv sync

# Run your app
uv run server.py

#on a different terminal run your clint (make sure you paste the same MCP server link in the client code) 
uv run agentclient.py