How to Build an MCP Client in Python in 10 Min

You have seen a dozen tutorials on building MCP servers. But how do you actually connect to one from your own code? If you want your Python app or AI agent to discover and call MCP tools programmatically -- not through Claude Desktop or Cursor -- you need a client. Here is how to build one. The server (so you can test end-to-end) Save this as server.py. It exposes a single get_weather tool over stdio: # server.py from mcp.server.fastmcp import FastMCP mcp = FastMCP("weather") @mcp.tool() def get_weather(city: str) -> str: """Get the current weather for a city.""" # Stub response -- swap in a real API call if you want return f"Sunny, 22C in {city}" if __name__ == "__main__": mcp.run(transport="stdio") That is the server side handled in 10 lines. Now for the interesting part. The client Save this as client.py: # client.py import asyncio from mcp import ClientSession, StdioServerParameters from mcp.client.stdio import stdio_client async def main(): # 1. Point at the server script serve