import asyncio import logging from langchain_mcp_adapters.tools import load_mcp_tools from mcp import ClientSession from mcp.client.streamable_http import streamablehttp_client # 定义服务器地址 server_url = "http://127.0.0.1:8002/mcp" # 定义mcp客户端 mcp_client = None # 配置日志 logging.basicConfig( level=logging.DEBUG, # 提高日志级别以捕获更多信息 format='[客户端] %(asctime)s - %(levelname)s - %(message)s' ) async def main(): global mcp_client logging.info(f"准备连接到 Streamable-HTTP 服务器: {server_url}") try: # 启动 MCP server,通过streamable建立连接 async with streamablehttp_client(server_url) as (read, write, _): logging.info("连接已成功建立!") # 使用读写通道创建 MCP 会话 async with ClientSession(read, write) as session: try: await session.initialize() logging.info("会话初始化成功,可以开始调用工具。") # 动态创建一个临时类 MCPClientHolder,把 session 放进去。这样就可以在函数外部通过 mcp_client.session 调用 MCP 工具 mcp_client = type("MCPClientHolder", (), {"session": session})() # 从 session 自动获取 MCP server 提供的工具列表。 tools = await load_mcp_tools(session) # print(f"tools-->{tools}") # 调用远程工具 logging.info("--> 正在调用工具: query_high_frequency_question") response = await session.call_tool("query_high_frequency_question", {}) print(f"response-->{response}") logging.info(f"<-- 收到响应: {response}") print("-" * 30) logging.info("--> 正在调用工具: get_weather") response = await session.call_tool("get_weather", {}) print(f"response-->{response}") logging.info(f"<-- 收到响应: {response}") except Exception as e: logging.error(f"调用工具时发生错误: {e}", exc_info=True) raise except Exception as e: logging.error(f"连接或会话初始化时发生错误: {e}", exc_info=True) logging.error("请确认服务端脚本已启动并运行在 http://127.0.0.1:8002/mcp") raise if __name__ == "__main__": try: asyncio.run(main()) except Exception as e: logging.error(f"客户端运行失败: {e}", exc_info=True)