log executed commands to server stdout

exec, pty_send, and job_run each emit an INFO line so docker compose
logs shows what the agent is running.

server/main.py

@@ -5,6 +5,7 @@ Implements MCP Streamable HTTP transport (JSON-RPC 2.0)
 
 import asyncio
 import json
+import logging
 import os
 import re
 import signal
@@ -14,6 +15,9 @@ import time
 import uuid
 from typing import Any
 
+logging.basicConfig(level=logging.INFO, format="%(asctime)s [%(levelname)s] %(message)s")
+log = logging.getLogger("mcp")
+
 import pyte
 import ptyprocess
 import uvicorn
@@ -247,6 +251,7 @@ async def _dispatch(name: str, args: dict) -> dict:
     if name == "exec":
         cmd = args.get("cmd", "")
         timeout = int(args.get("timeout", 30))
+        log.info("exec: %s", cmd)
         try:
             r = subprocess.run(
                 cmd, shell=True, capture_output=True, text=True,
@@ -267,6 +272,7 @@ async def _dispatch(name: str, args: dict) -> dict:
     elif name == "pty_send":
         sess = _get_pty(args["session_id"])
         text = _decode_escapes(args.get("text", ""))
+        log.info("pty_send [%s]: %r", sess.id[:8], text)
         sess.send(text)
         return {"sent": len(text)}
 
@@ -293,6 +299,7 @@ async def _dispatch(name: str, args: dict) -> dict:
 
     elif name == "job_run":
         job = BackgroundJob(args.get("cmd", ""))
+        log.info("job_run [%s]: %s", job.id[:8], job.cmd)
         _jobs[job.id] = job
         return {"job_id": job.id, "status": job.status}