Spaces:
Sleeping
Sleeping
| from mcp.server.fastmcp import FastMCP | |
| import logging | |
| import os | |
| from typing import List | |
| import anthropic | |
| import sys | |
| import asyncio | |
| # Configure logging to only show errors | |
| logging.basicConfig(level=logging.ERROR) | |
| # Initialize FastMCP server for report generation | |
| mcp = FastMCP("test_server") | |
| print("[MCP] Servidor de generaci贸n de reportes iniciado y esperando peticiones...", file=sys.stderr) | |
| # Initialize Anthropic client for report content generation | |
| client = anthropic.Anthropic(api_key=os.getenv("ANTHROPIC_API_KEY")) # Usa variable de entorno | |
| # System prompt to guide the LLM in generating financial reports | |
| system_prompt = "You are a professional financial analyst. Generate a very short report based on following information regarding different companies." | |
| def get_current_stock_price(symbol: str) -> str: | |
| print(f"[MCP] Petici贸n recibida: {symbol}", file=sys.stderr) | |
| return f"Echo: {symbol}" | |
| def run_report_server(): | |
| """Start the report generation MCP server using stdio transport""" | |
| mcp.run(transport="stdio") | |
| if __name__ == "__main__": | |
| run_report_server() |