139 lines
4.5 KiB
Python
139 lines
4.5 KiB
Python
import asyncio
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from contextlib import AsyncExitStack
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from pathlib import Path
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from anthropic import Anthropic
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from dotenv import load_dotenv
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from mcp import ClientSession, StdioServerParameters
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from mcp.client.stdio import stdio_client
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load_dotenv() # load environment variables from .env
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# Claude model constant
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ANTHROPIC_MODEL = "claude-sonnet-4-5"
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class MCPClient:
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def __init__(self):
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# Initialize session and client objects
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self.session: ClientSession | None = None
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self.exit_stack = AsyncExitStack()
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self.anthropic = Anthropic()
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async def connect_to_server(self, server_script_path: str):
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"""Connect to an MCP server
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Args:
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server_script_path: Path to the server script (.py or .js)
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"""
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is_python = server_script_path.endswith(".py")
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is_js = server_script_path.endswith(".js")
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if not (is_python or is_js):
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raise ValueError("Server script must be a .py or .js file")
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if is_python:
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path = Path(server_script_path).resolve()
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server_params = StdioServerParameters(
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command="uv",
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args=["--directory", str(path.parent), "run", path.name],
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env=None,
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)
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else:
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server_params = StdioServerParameters(command="node", args=[server_script_path], env=None)
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stdio_transport = await self.exit_stack.enter_async_context(stdio_client(server_params))
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self.stdio, self.write = stdio_transport
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self.session = await self.exit_stack.enter_async_context(ClientSession(self.stdio, self.write))
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await self.session.initialize()
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# List available tools
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response = await self.session.list_tools()
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tools = response.tools
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print("\nConnected to server with tools:", [tool.name for tool in tools])
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async def process_query(self, query: str) -> str:
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"""Process a query using Claude and available tools"""
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messages = [{"role": "user", "content": query}]
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response = await self.session.list_tools()
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available_tools = [
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{"name": tool.name, "description": tool.description, "input_schema": tool.inputSchema}
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for tool in response.tools
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]
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# Initial Claude API call
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response = self.anthropic.messages.create(
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model=ANTHROPIC_MODEL, max_tokens=1000, messages=messages, tools=available_tools
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)
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# Process response and handle tool calls
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final_text = []
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for content in response.content:
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if content.type == "text":
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final_text.append(content.text)
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elif content.type == "tool_use":
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tool_name = content.name
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tool_args = content.input
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# Execute tool call
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result = await self.session.call_tool(tool_name, tool_args)
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final_text.append(f"[Calling tool {tool_name} with args {tool_args}]")
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# Continue conversation with tool results
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if hasattr(content, "text") and content.text:
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messages.append({"role": "assistant", "content": content.text})
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messages.append({"role": "user", "content": result.content})
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# Get next response from Claude
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response = self.anthropic.messages.create(
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model=ANTHROPIC_MODEL,
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max_tokens=1000,
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messages=messages,
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)
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final_text.append(response.content[0].text)
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return "\n".join(final_text)
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async def chat_loop(self):
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"""Run an interactive chat loop"""
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print("\nMCP Client Started!")
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print("Type your queries or 'quit' to exit.")
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while True:
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try:
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query = input("\nQuery: ").strip()
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if query.lower() == "quit":
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break
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response = await self.process_query(query)
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print("\n" + response)
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except Exception as e:
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print(f"\nError: {str(e)}")
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async def cleanup(self):
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"""Clean up resources"""
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await self.exit_stack.aclose()
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async def main():
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if len(sys.argv) < 2:
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print("Usage: python client.py <path_to_server_script>")
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sys.exit(1)
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client = MCPClient()
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try:
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await client.connect_to_server(sys.argv[1])
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await client.chat_loop()
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finally:
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await client.cleanup()
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if __name__ == "__main__":
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import sys
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asyncio.run(main())
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