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