|
| 1 | +import asyncio |
| 2 | +from typing import Optional |
| 3 | +from contextlib import AsyncExitStack |
| 4 | + |
| 5 | +# pyright: reportMissingImports=false |
| 6 | +# pyright: reportOptionalSubscript=false |
| 7 | + |
| 8 | +from mcp import ClientSession, StdioServerParameters |
| 9 | +from mcp.client.stdio import stdio_client |
| 10 | + |
| 11 | +from anthropic import Anthropic |
| 12 | +from dotenv import load_dotenv |
| 13 | + |
| 14 | +# uncomment this when running in your local environment |
| 15 | +# ensure you have updated the .env file with the Anthropic API Key |
| 16 | +# load_dotenv() # load environment variables from .env |
| 17 | + |
| 18 | + |
| 19 | +class MCPClient: |
| 20 | + def __init__(self): |
| 21 | + # Initialize session and client objects |
| 22 | + self.session: Optional[ClientSession] = None |
| 23 | + self.exit_stack = AsyncExitStack() |
| 24 | + self.anthropic = Anthropic() |
| 25 | + |
| 26 | + # methods will go here |
| 27 | + async def connect_to_server(self, server_script_path: str): |
| 28 | + """Connect to notion MCP server |
| 29 | +
|
| 30 | + Args: |
| 31 | + server_script_path: Path to the server script (.py or .js) |
| 32 | + """ |
| 33 | + is_python = server_script_path.endswith(".py") |
| 34 | + is_js = server_script_path.endswith(".js") |
| 35 | + if not (is_python or is_js): |
| 36 | + raise ValueError("Server script must be a .py or .js file") |
| 37 | + |
| 38 | + command = "python" if is_python else "node" |
| 39 | + server_params = StdioServerParameters( |
| 40 | + command=command, args=[server_script_path], env=None |
| 41 | + ) |
| 42 | + |
| 43 | + stdio_transport = await self.exit_stack.enter_async_context( |
| 44 | + stdio_client(server_params) |
| 45 | + ) |
| 46 | + self.stdio, self.write = stdio_transport |
| 47 | + self.session = await self.exit_stack.enter_async_context( |
| 48 | + ClientSession(self.stdio, self.write) |
| 49 | + ) |
| 50 | + |
| 51 | + await self.session.initialize() |
| 52 | + |
| 53 | + # List available tools |
| 54 | + response = await self.session.list_tools() |
| 55 | + tools = response.tools |
| 56 | + print( |
| 57 | + "\nConnected to Excel Analysis MCP server with tools:", |
| 58 | + [tool.name for tool in tools], |
| 59 | + ) |
| 60 | + |
| 61 | + async def process_query(self, query: str) -> str: |
| 62 | + """Process a query using Claude and available tools""" |
| 63 | + |
| 64 | + hal_system = """You are hal3025, an expert in working on filesystem and excel sheets. |
| 65 | + You have access to a local filesystem with read and write access. |
| 66 | + You are very good in analysing xlsx files and you can use the available |
| 67 | + tools with you and return the results to the user. |
| 68 | + Just use the tools, and provide the updates the tools are giving. |
| 69 | + Do not use external python packages for the analysis. |
| 70 | + Use the tools that are available to you. |
| 71 | + Do not apologize. Do not provide guidance or examples. Do not share what you cannot do. |
| 72 | + Please do not provide the python code for the user requests. |
| 73 | + Do not explain how something can be done.""" |
| 74 | + |
| 75 | + messages = [{"role": "user", "content": query}] |
| 76 | + |
| 77 | + response = await self.session.list_tools() |
| 78 | + available_tools = [ |
| 79 | + { |
| 80 | + "name": tool.name, |
| 81 | + "description": tool.description, |
| 82 | + "input_schema": tool.inputSchema, |
| 83 | + } |
| 84 | + for tool in response.tools |
| 85 | + ] |
| 86 | + |
| 87 | + # Initial Claude API call |
| 88 | + response = self.anthropic.messages.create( |
| 89 | + model="claude-3-5-haiku-20241022", |
| 90 | + max_tokens=1000, |
| 91 | + system=hal_system, |
| 92 | + messages=messages, |
| 93 | + tools=available_tools, |
| 94 | + ) |
| 95 | + |
| 96 | + # Process response and handle tool calls |
| 97 | + tool_results = [] |
| 98 | + final_text = [] |
| 99 | + |
| 100 | + for content in response.content: |
| 101 | + if content.type == "text": |
| 102 | + final_text.append(content.text) |
| 103 | + elif content.type == "tool_use": |
| 104 | + tool_name = content.name |
| 105 | + tool_args = content.input |
| 106 | + |
| 107 | + # Execute tool call |
| 108 | + result = await self.session.call_tool(tool_name, tool_args) |
| 109 | + tool_results.append({"call": tool_name, "result": result}) |
| 110 | + final_text.append(f"[Calling tool {tool_name} with args {tool_args}]") |
| 111 | + |
| 112 | + # Continue conversation with tool results |
| 113 | + if hasattr(content, "text") and content.text: |
| 114 | + messages.append({"role": "assistant", "content": content.text}) |
| 115 | + messages.append({"role": "user", "content": result.content}) |
| 116 | + |
| 117 | + # Get next response from Claude |
| 118 | + response = self.anthropic.messages.create( |
| 119 | + model="claude-3-5-haiku-20241022", |
| 120 | + system=hal_system, |
| 121 | + max_tokens=1000, |
| 122 | + messages=messages, |
| 123 | + ) |
| 124 | + |
| 125 | + final_text.append(response.content[0].text) |
| 126 | + |
| 127 | + return "\n".join(final_text) |
| 128 | + |
| 129 | + async def chat_loop(self): |
| 130 | + """Run an interactive chat loop""" |
| 131 | + print("\nMCP Client Started!") |
| 132 | + print("Type your queries or 'quit' to exit.") |
| 133 | + |
| 134 | + while True: |
| 135 | + try: |
| 136 | + query = input("\nInteract with Excel File here: ").strip() |
| 137 | + |
| 138 | + if query.lower() == "quit": |
| 139 | + break |
| 140 | + |
| 141 | + response = await self.process_query(query) |
| 142 | + print("\n" + response) |
| 143 | + |
| 144 | + except Exception as e: |
| 145 | + print(f"\nError: {str(e)}") |
| 146 | + |
| 147 | + async def cleanup(self): |
| 148 | + """Clean up resources""" |
| 149 | + await self.exit_stack.aclose() |
| 150 | + |
| 151 | + |
| 152 | +async def main(): |
| 153 | + if len(sys.argv) < 2: |
| 154 | + print("Usage: python mcpclient.py mcpserver.py") |
| 155 | + sys.exit(1) |
| 156 | + |
| 157 | + client = MCPClient() |
| 158 | + try: |
| 159 | + await client.connect_to_server(sys.argv[1]) |
| 160 | + await client.chat_loop() |
| 161 | + finally: |
| 162 | + await client.cleanup() |
| 163 | + |
| 164 | + |
| 165 | +if __name__ == "__main__": |
| 166 | + import sys |
| 167 | + |
| 168 | + asyncio.run(main()) |
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