Model Context Protocol Demo

{ "cells": [ { "cell_type": "code", "execution_count": 13, "id": "64c33256-22ab-4009-b070-75aa7be36218", "metadata": {}, "outputs": [], "source": [ "from fastmcp import Client\n", "import asyncio" ] }, { "cell_type": "code", "execution_count": 16, "id": "4dafae42-876d-49f1-baf3-ad5ee5dc022f", "metadata": {}, "outputs": [], "source": [ "async def run_llm_demo(server_path: str = \"mcp_server.py\"):\n", " async with Client(server_path) as client:\n", " tools = await client.list_tools()\n", " print(f\"tools: {tools}\")" ] }, { "cell_type": "code", "execution_count": 18, "id": "2553885a-9df9-4bc5-bc0c-503559f6645d", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "tools: [Tool(name='calculator', description='\\nPerforms arithmetic operations on two numbers.\\nSupports: add, subtract, multiply, divide, power\\n', inputSchema={'properties': {'operation': {'title': 'Operation', 'type': 'string'}, 'num1': {'title': 'Num1', 'type': 'number'}, 'num2': {'title': 'Num2', 'type': 'number'}}, 'required': ['operation', 'num1', 'num2'], 'type': 'object'}, annotations=None), Tool(name='trig', description='\\nPerforms trigonometric operation on an angle in degree.\\nSupports: sine, cosine, tangent\\n', inputSchema={'properties': {'operation': {'title': 'Operation', 'type': 'string'}, 'theta': {'title': 'Theta', 'type': 'number'}}, 'required': ['operation', 'theta'], 'type': 'object'}, annotations=None), Tool(name='stock_quote', description='\\nRetrieves live stock data for a given ticker symbol.\\nExample: AAPL, GOOGL, MSFT, TSLA\\n', inputSchema={'properties': {'ticker': {'title': 'Ticker', 'type': 'string'}}, 'required': ['ticker'], 'type': 'object'}, annotations=None), Tool(name='health', description='\\nSimple health check to verify server is running.\\n', inputSchema={'properties': {}, 'type': 'object'}, annotations=None), Tool(name='echo', description='\\nEcho back the provided message. Useful for testing.\\n', inputSchema={'properties': {'message': {'title': 'Message', 'type': 'string'}}, 'required': ['message'], 'type': 'object'}, annotations=None)]\n" ] } ], "source": [ "# In Jupyter, just use await directly:\n", "await run_llm_demo()" ] }, { "cell_type": "code", "execution_count": null, "id": "5f746e72-1539-46b5-82ae-3f50ac5c044f", "metadata": {}, "outputs": [], "source": [] } ], "metadata": { "kernelspec": { "display_name": "Python 3 (ipykernel)", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.13.2" } }, "nbformat": 4, "nbformat_minor": 5 }