from mcp.server.fastmcp import FastMCP from datetime import datetime from dotenv import load_dotenv from typing import Dict, List import threading import requests import asyncio import uuid import sys import os # Load environment variables from .env file load_dotenv() # Initialize FastMCP server with ERROR logging level mcp = FastMCP("archon", log_level="ERROR") # Store active threads active_threads: Dict[str, List[str]] = {} # FastAPI service URL GRAPH_SERVICE_URL = os.getenv("GRAPH_SERVICE_URL", "http://localhost:8100") def write_to_log(message: str): """Write a message to the logs.txt file in the workbench directory. Args: message: The message to log """ # Get the directory one level up from the current file current_dir = os.path.dirname(os.path.abspath(__file__)) parent_dir = os.path.dirname(current_dir) workbench_dir = os.path.join(parent_dir, "workbench") log_path = os.path.join(workbench_dir, "logs.txt") os.makedirs(workbench_dir, exist_ok=True) timestamp = datetime.now().strftime("%Y-%m-%d %H:%M:%S") log_entry = f"[{timestamp}] {message}\n" with open(log_path, "a", encoding="utf-8") as f: f.write(log_entry) @mcp.tool() async def create_thread() -> str: """Create a new conversation thread for Archon. Always call this tool before invoking Archon for the first time in a conversation. (if you don't already have a thread ID) Returns: str: A unique thread ID for the conversation """ thread_id = str(uuid.uuid4()) active_threads[thread_id] = [] write_to_log(f"Created new thread: {thread_id}") return thread_id def _make_request(thread_id: str, user_input: str, config: dict) -> str: """Make synchronous request to graph service""" try: response = requests.post( f"{GRAPH_SERVICE_URL}/invoke", json={ "message": user_input, "thread_id": thread_id, "is_first_message": not active_threads[thread_id], "config": config }, timeout=300 # 5 minute timeout for long-running operations ) response.raise_for_status() return response.json() except requests.exceptions.Timeout: write_to_log(f"Request timed out for thread {thread_id}") raise TimeoutError("Request to graph service timed out. The operation took longer than expected.") except requests.exceptions.RequestException as e: write_to_log(f"Request failed for thread {thread_id}: {str(e)}") raise @mcp.tool() async def run_agent(thread_id: str, user_input: str) -> str: """Run the Archon agent with user input. Only use this tool after you have called create_thread in this conversation to get a unique thread ID. If you already created a thread ID in this conversation, do not create another one. Reuse the same ID. After you receive the code from Archon, always implement it into the codebase unless asked not to. After using this tool and implementing the code it gave back, ask the user if they want you to refine the agent autonomously (they can just say 'refine') or they can just give feedback and you'll improve the agent that way. If they want to refine the agent, just give 'refine' for user_input. Args: thread_id: The conversation thread ID user_input: The user's message to process Returns: str: The agent's response which generally includes the code for the agent """ if thread_id not in active_threads: write_to_log(f"Error: Thread not found - {thread_id}") raise ValueError("Thread not found") write_to_log(f"Processing message for thread {thread_id}: {user_input}") config = { "configurable": { "thread_id": thread_id } } try: result = await asyncio.to_thread(_make_request, thread_id, user_input, config) active_threads[thread_id].append(user_input) return result['response'] except Exception as e: raise if __name__ == "__main__": write_to_log("Starting MCP server") # Run MCP server mcp.run(transport='stdio')