Data Intelligence MCP Server

from fastmcp import Client from fastmcp.client.elicitation import ElicitResult config = { "mcpServers": { "wxdi-mcp-server": { "url": "http://127.0.0.1:3001/mcp", "transport": "http" } } } async def elicitation_handler(message: str, response_type: type, params, context): # Present the message to the user and collect input print(message) name = input("Enter name: ") email = input("Enter email: ") if name == "" or email == "": return ElicitResult(action="decline") response_data = response_type(name=name, age=email) return response_data async def call_mcp(): async with Client(config) as client: await client.ping() # List available operations tools = await client.list_tools() print("\n===============================Tools===============================\n") print("\n".join([tool.name for tool in tools])) # Call advanced server tools with elicitation print("\n===============================Advanced Server Tool with elicitation Result===============================\n") result = await client.call_tool("dummy:elicitation", {"input": {"name": "test_user"}}) print(result.content[0].text) if __name__ == "__main__": import asyncio asyncio.run(call_mcp())