A Guide to Multi-Server MCP with React & FastMCP

The Model Context Protocol (MCP) is rapidly becoming the "universal connector" for AI. But while many tutorials focus on using MCP with Claude Desktop, the real power lies in building your own custom client-server architecture. Today, we’re building a full-stack local agentic hub: MCP Server (Python): A tools-heavy server using fastmcp to fetch real-time news and weather. MCP Client (Node.js): A backend gateway using mcp-use-ts to manage multiple server connections. Frontend (React): A sleek chat interface for interacting with your AI agent. Part 1: The Python MCP Server We’ll use FastMCP, a high-level framework that makes tool definition as easy as writing a Python function. Setup pip install fastmcp httpx Server from fastmcp import FastMCP import httpx mcp = FastMCP("LocalInsights") @mcp.tool() async def get_weather(latitude: float, longitude: float) -> str: """Get the weather forecast for specific coordinates.""" async with httpx.AsyncClient() as client: # NWS API Example resp = awa