feat: 项目完成

_demo/mcp/stdio_client.py

@@ -0,0 +1,57 @@
+import asyncio
+from langchain_mcp_adapters.tools import load_mcp_tools
+from mcp import ClientSession, StdioServerParameters
+from mcp.client.stdio import stdio_client
+
+# 配置mcp服务器脚本路径
+server_script = r".\stdio_server.py"
+
+# 配置mcp服务器启动参数
+server_params = StdioServerParameters(
+    command="python" if server_script.endswith(".py") else "node",
+    args=[server_script],
+)
+
+# 定义mcp客户端
+mcp_client = None
+
+# 主要的异步函数run_agent
+async def run():
+    global mcp_client
+    # 启动 MCP server，并通过标准输入输出建立异步连接。
+    async with stdio_client(server_params) as (read, write):
+        # 使用读写通道创建 MCP 会话。
+        async with ClientSession(read, write) as session:
+            await session.initialize()
+            # 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 MCP server 的 get_weather 工具
+            response = await session.call_tool("get_weather", arguments={})
+            print(f"response-->{response}")
+    return
+
+# 启动运行
+if __name__ == "__main__":
+    asyncio.run(run())
+    # tools -->[StructuredTool(name='query_high_frequency_question',
+    #                          description='从知识库中检索常见问题解答（FAQ）,返回包含问题和答案的结构化JSON数据。',
+    #                          args_schema={'properties': {}, 'title': 'query_high_frequency_questionArguments',
+    #                                       'type': 'object'}, response_format='content_and_artifact',
+    #                          coroutine= < function convert_mcp_tool_to_langchain_tool. < locals >.call_tool
+    # at
+    # 0x000001DB7A188FE0 >), StructuredTool(name='get_weather', description='查询天气',
+    #                                       args_schema={'properties': {}, 'title': 'get_weatherArguments',
+    #                                                    'type': 'object'}, response_format='content_and_artifact',
+    #                                       coroutine= < function
+    # convert_mcp_tool_to_langchain_tool. < locals >.call_tool
+    # at
+    # 0x000001DB7A1E3060 >)]
+    # response -->meta = None
+    # content = [TextContent(type='text', text='北京的天气是多云', annotations=None, meta=None)]
+    # structuredContent = {'result': '北京的天气是多云'}
+    # isError = False