fix: module not found

mcp-client-python/client.py

@@ -7,9 +7,11 @@
 
 from anthropic import Anthropic
 from dotenv import load_dotenv
+from pathlib import Path
 
 load_dotenv()  # load environment variables from .env
 
+
 class MCPClient:
     def __init__(self):
         # Initialize session and client objects
@@ -19,81 +21,82 @@ def __init__(self):
 
     async def connect_to_server(self, server_script_path: str):
         """Connect to an MCP server
-        
+
         Args:
             server_script_path: Path to the server script (.py or .js)
         """
-        is_python = server_script_path.endswith('.py')
-        is_js = server_script_path.endswith('.js')
+        is_python = server_script_path.endswith(".py")
+        is_js = server_script_path.endswith(".js")
         if not (is_python or is_js):
             raise ValueError("Server script must be a .py or .js file")
-
-        command = "python" if is_python else "node"
-        server_params = StdioServerParameters(
-            command=command,
-            args=[server_script_path],
-            env=None
+
+        if is_python:
+            path = Path(server_script_path).resolve()
+            server_params = StdioServerParameters(
+                command="uv",
+                args=["--directory", path.parent, "run", path.name],
+                env=None,
+            )
+        else:
+            server_params = StdioServerParameters(
+                command="node", args=[server_script_path], env=None
+            )
+
+        stdio_transport = await self.exit_stack.enter_async_context(
+            stdio_client(server_params)
         )
-
-        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))
-
+        self.session = await self.exit_stack.enter_async_context(
+            ClientSession(self.stdio, self.write)
+        )
+
         await self.session.initialize()
-        
+
         # List available tools
         response = await self.session.list_tools()
         tools = response.tools
         print("\nConnected to server with tools:", [tool.name for tool in tools])
 
     async def process_query(self, query: str) -> str:
         """Process a query using Claude and available tools"""
-        messages = [
+        messages = [{"role": "user", "content": query}]
+
+        response = await self.session.list_tools()
+        available_tools = [
             {
-                "role": "user",
-                "content": query
+                "name": tool.name,
+                "description": tool.description,
+                "input_schema": tool.inputSchema,
             }
+            for tool in response.tools
         ]
 
-        response = await self.session.list_tools()
-        available_tools = [{ 
-            "name": tool.name,
-            "description": tool.description,
-            "input_schema": tool.inputSchema
-        } for tool in response.tools]
-
         # Initial Claude API call
         response = self.anthropic.messages.create(
             model="claude-sonnet-4-0",
             max_tokens=1000,
             messages=messages,
-            tools=available_tools
+            tools=available_tools,
         )
 
         # Process response and handle tool calls
         final_text = []
 
         for content in response.content:
-            if content.type == 'text':
+            if content.type == "text":
                 final_text.append(content.text)
-            elif content.type == 'tool_use':
+            elif content.type == "tool_use":
                 tool_name = content.name
                 tool_args = content.input
-                
+
                 # Execute tool call
                 result = await self.session.call_tool(tool_name, tool_args)
                 final_text.append(f"[Calling tool {tool_name} with args {tool_args}]")
 
                 # Continue conversation with tool results
-                if hasattr(content, 'text') and content.text:
-                    messages.append({
-                      "role": "assistant",
-                      "content": content.text
-                    })
-                messages.append({
-                    "role": "user", 
-                    "content": result.content
-                })
+                if hasattr(content, "text") and content.text:
+                    messages.append({"role": "assistant", "content": content.text})
+                messages.append({"role": "user", "content": result.content})
 
                 # Get next response from Claude
                 response = self.anthropic.messages.create(
@@ -110,36 +113,39 @@ async def chat_loop(self):
         """Run an interactive chat loop"""
         print("\nMCP Client Started!")
         print("Type your queries or 'quit' to exit.")
-        
+
         while True:
             try:
                 query = input("\nQuery: ").strip()
-                
-                if query.lower() == 'quit':
+
+                if query.lower() == "quit":
                     break
-                    
+
                 response = await self.process_query(query)
                 print("\n" + response)
-                    
+
             except Exception as e:
                 print(f"\nError: {str(e)}")
-    
+
     async def cleanup(self):
         """Clean up resources"""
         await self.exit_stack.aclose()
 
+
 async def main():
     if len(sys.argv) < 2:
         print("Usage: python client.py <path_to_server_script>")
         sys.exit(1)
-        
+
     client = MCPClient()
     try:
         await client.connect_to_server(sys.argv[1])
         await client.chat_loop()
     finally:
         await client.cleanup()
 
+
 if __name__ == "__main__":
     import sys
+
     asyncio.run(main())