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| import os
import asyncio
from typing import Optional
from contextlib import AsyncExitStack
import json
import sys
from urllib.parse import urlparse
from mcp import ClientSession, StdioServerParameters
from mcp.client.stdio import stdio_client
from mcp.client.sse import sse_client
from openai import OpenAI
from dotenv import load_dotenv
load_dotenv()
class MCPClient:
def __init__(self):
self.session: Optional[ClientSession] = None
self.exit_stack = AsyncExitStack()
self.openai = OpenAI(
api_key=os.getenv("OPENAI_API_KEY"), base_url=os.getenv("OPENAI_BASE_URL")
)
self.model = "gpt-4o"
def get_response(self, messages: list, tools: list):
response = self.openai.chat.completions.create(
model=self.model,
max_tokens=1000,
messages=messages,
tools=tools,
)
return response
async def get_tools(self):
response = await self.session.list_tools()
available_tools = [
{
"type": "function",
"function": {
"name": tool.name,
"description": tool.description,
"parameters": tool.inputSchema,
},
}
for tool in response.tools
]
return available_tools
async def connect_to_server(self, server_path: str = None):
"""连接到 MCP 服务器
参数:
server_path: 可以是以下三种形式之一:
1. HTTP(S) URL - 使用 SSE 客户端连接
2. 服务器脚本路径 (.py 或 .js)
3. None - 使用默认的 mcp_server_fetch
"""
try:
if server_path and urlparse(server_path).scheme in ("http", "https"):
print(f"正在连接到 SSE 服务器: {server_path}")
sse_transport = await self.exit_stack.enter_async_context(
sse_client(server_path)
)
self.stdio, self.write = sse_transport
else:
if server_path:
is_python = server_path.endswith(".py")
is_js = server_path.endswith(".js")
if not (is_python or is_js):
raise ValueError("服务器脚本必须是 .py 或 .js 文件")
command = "python" if is_python else "node"
print(f"正在启动服务器: {command} {server_path}")
server_params = StdioServerParameters(
command=command, args=[server_path], env=None
)
else:
print("正在启动默认 MCP 服务器…")
server_params = StdioServerParameters(
command="uv",
args=[
"run",
"--with",
"mcp[cli]",
"mcp",
"run",
"/exports/git/baidu-map-mcp/src/baidu-map/python/map.py",
],
env={"BAIDU_MAPS_API_KEY": "xxx"},
)
stdio_transport = await self.exit_stack.enter_async_context(
stdio_client(server_params)
)
self.stdio, self.write = stdio_transport
self.session = await self.exit_stack.enter_async_context(
ClientSession(self.stdio, self.write)
)
await self.session.initialize()
response = await self.session.list_tools()
tools = response.tools
print("\n连接到服务器，工具列表:", [tool.name for tool in tools])
print("服务器初始化完成")
except Exception as e:
print(f"连接服务器时出错: {str(e)}")
raise
async def process_query(self, query: str) -> str:
"""使用 OpenAI 和可用工具处理查询"""
messages = [{"role": "user", "content": query}]
available_tools = await self.get_tools()
response = self.get_response(messages, available_tools)
tool_results = []
final_text = []
for choice in response.choices:
message = choice.message
is_function_call = message.tool_calls
if not is_function_call:
final_text.append(message.content)
else:
tool_name = message.tool_calls[0].function.name
tool_args = json.loads(message.tool_calls[0].function.arguments)
print(f"准备调用工具: {tool_name}")
print(f"参数: {json.dumps(tool_args, ensure_ascii=False, indent=2)}")
result = await self.session.call_tool(tool_name, tool_args)
tool_results.append({"call": tool_name, "result": result})
final_text.append(f"[Calling tool {tool_name} with args {tool_args}]")
if message.content and hasattr(message.content, "text"):
messages.append({"role": "assistant", "content": message.content})
messages.append({"role": "user", "content": result.content})
response = self.get_response(messages, available_tools)
if response.choices[0].message.content:
final_text.append(response.choices[0].message.content)
return "\\n".join(final_text)
async def chat_loop(self):
"""运行交互式聊天循环（没有记忆）"""
print("\\nMCP Client 启动!")
print("输入您的查询或 'quit' 退出.")
while True:
try:
query = input("\\nQuery: ").strip()
if query.lower() == "quit":
break
response = await self.process_query(query)
print("\\n" + response)
except Exception as e:
import traceback
traceback.print_exc()
print(f"\\n错误: {str(e)}")
async def cleanup(self):
"""清理资源"""
await self.exit_stack.aclose()
async def main():
"""
主函数：初始化并运行 MCP 客户端
支持三种模式：
1. python client.py <url> # 使用 SSE 连接
2. python client.py <path_to_server_script> # 使用自定义服务器脚本
3. python client.py # 使用默认服务器
"""
client = MCPClient()
try:
server_path = sys.argv[1] if len(sys.argv) > 1 else None
await client.connect_to_server(server_path)
await client.chat_loop()
finally:
await client.cleanup()
if __name__ == "__main__":
asyncio.run(main())
|
