mirror of
https://github.com/wolfpld/tracy.git
synced 2026-06-08 08:33:48 +00:00
33fe84532e
- save_worker binding: wraps Worker::Write under Worker::ObtainLockForMainThread() so live instances yield their receive thread cooperatively for the save's duration — the same pattern View::Save uses in the GUI. - save_trace MCP tool: defaults to async_mode=True for multi-GB traces; reuses the existing Task/executor machinery so callers poll via the task tool. Path resolution mirrors load_capture. - manual/tracy.tex: add save_trace bullet to the MCP tool list. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
701 lines
24 KiB
Python
701 lines
24 KiB
Python
# -*- coding: utf-8 -*-
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from __future__ import annotations
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import asyncio
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import atexit
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import builtins
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import concurrent.futures
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import glob
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import io
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import os
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import logging
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import re
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import socket
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import struct
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import sys
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import time
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import uuid
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from contextlib import redirect_stdout
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import mcp.server.fastmcp as fastmcp
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# Suppress noisy ASGI shutdown errors known to occur with SSE and Control-C.
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# These occur when Starlette attempts to send a 500 error after the loop is cancelled
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# but after the SSE 200 OK headers have already been sent. Global level suppression
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# is used because surgical filtering of ASGI exceptions is unreliable in this stack.
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logging.getLogger("uvicorn.error").setLevel(logging.CRITICAL)
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logging.getLogger("starlette").setLevel(logging.CRITICAL)
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_HERE = os.path.dirname(os.path.abspath(__file__))
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_PORT_FILE = os.path.join(_HERE, "tracy_mcp.port")
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_PID_FILE = os.path.join(_HERE, "tracy_mcp.pid")
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_PREFERRED_PORT = int(os.environ.get("TRACY_MCP_PORT", "47380"))
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# Shared documentation surfaces. system.prompt.md is Tracy Assist's source
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# system prompt; exposing it as an MCP resource keeps analysis guidance in
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# sync across both surfaces with no plumbing. eval_guide.md covers
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# bindings-layer detail (ctx object model, units, source-location ID joins).
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_LLM_DIR = os.path.normpath(os.path.join(_HERE, "..", "..", "profiler", "src", "llm"))
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_PROMPT_PATH = os.path.join(_LLM_DIR, "system.prompt.md")
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_EVAL_GUIDE_PATH = os.path.join(_HERE, "eval_guide.md")
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def _read_text(path: str) -> str:
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try:
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with open(path, encoding="utf-8") as f:
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return f.read()
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except Exception as e:
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return f"(unavailable: {e})"
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# Tracy UDP broadcast packet support. Tracy clients announce themselves on
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# port 8086 with a BroadcastMessage (see public/common/TracyProtocol.hpp).
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# The dev GUI reads protocolVersion from the broadcast and refuses connection
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# on mismatch instead of hitting an opaque TCP timeout. We do the same.
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_PROTOCOL_HPP = os.path.normpath(
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os.path.join(_HERE, "..", "..", "public", "common", "TracyProtocol.hpp")
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)
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_BROADCAST_PORT = 8086
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_PROGRAM_NAME_SIZE = 64
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def _read_bindings_protocol_version() -> int | None:
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"""Parse ProtocolVersion from TracyProtocol.hpp at startup so our 'expected'
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version stays in sync with the bindings build without extra C++ wiring."""
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try:
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with open(_PROTOCOL_HPP, encoding="utf-8") as f:
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for line in f:
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m = re.search(r"constexpr\s+uint32_t\s+ProtocolVersion\s*=\s*(\d+)", line)
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if m:
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return int(m.group(1))
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except Exception:
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pass
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return None
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_OUR_PROTOCOL_VERSION = _read_bindings_protocol_version()
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def _parse_broadcast(data: bytes) -> dict | None:
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"""Parse a Tracy BroadcastMessage. Handles broadcast versions 0-3.
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Fixed-field sizes (from TracyProtocol.hpp, packed):
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v3: u16 bv, u16 lp, u32 pv, u64 pid, i32 at, char[<=64] name (>=20 + name)
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v2: u16 bv, u16 lp, u32 pv, i32 at, char[<=64] name (>=12 + name)
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v1: u32 bv, u32 pv, u32 lp, u32 at, char[<=64] name (>=16 + name)
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v0: u32 bv, u32 pv, u32 at, char[<=64] name (>=12 + name)
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The programName field is variable-length on the wire — the sender writes
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only the actual name plus null terminator, not the full 64-byte buffer.
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"""
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if len(data) < 4:
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return None
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def _name(buf: bytes) -> str:
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return buf[:_PROGRAM_NAME_SIZE].split(b"\0", 1)[0].decode("utf-8", "replace")
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bv16 = struct.unpack_from("<H", data, 0)[0]
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if bv16 == 3 and len(data) >= 21:
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bv, lp, pv, pid, at = struct.unpack_from("<HHIQi", data, 0)
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return {"broadcast_version": bv, "listen_port": lp,
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"protocol_version": pv, "pid": pid,
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"active_seconds": at, "program": _name(data[20:])}
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if bv16 == 2 and len(data) >= 13:
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bv, lp, pv, at = struct.unpack_from("<HHIi", data, 0)
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return {"broadcast_version": bv, "listen_port": lp,
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"protocol_version": pv, "active_seconds": at,
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"program": _name(data[12:])}
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bv32 = struct.unpack_from("<I", data, 0)[0]
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if bv32 == 1 and len(data) >= 17:
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bv, pv, lp, at = struct.unpack_from("<IIII", data, 0)
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return {"broadcast_version": bv, "listen_port": lp,
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"protocol_version": pv, "active_seconds": at,
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"program": _name(data[16:])}
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if bv32 == 0 and len(data) >= 13:
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bv, pv, at = struct.unpack_from("<III", data, 0)
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return {"broadcast_version": bv, "listen_port": None,
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"protocol_version": pv, "active_seconds": at,
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"program": _name(data[12:])}
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return None
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async def _listen_broadcasts(timeout_s: float = 1.5) -> list[dict]:
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"""Listen briefly on UDP 8086 for Tracy client announcements.
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Returns a list of parsed broadcasts (deduplicated by listen_port). Empty
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list means no broadcast received — the target may use TRACY_ON_DEMAND,
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a non-default broadcast port, or simply isn't running.
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"""
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s = socket.socket(socket.AF_INET, socket.SOCK_DGRAM)
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s.setsockopt(socket.SOL_SOCKET, socket.SO_REUSEADDR, 1)
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try:
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s.bind(("", _BROADCAST_PORT))
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except OSError:
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s.close()
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return []
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s.setblocking(False)
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loop = asyncio.get_running_loop()
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seen: dict[int | None, dict] = {}
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deadline = loop.time() + timeout_s
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try:
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while loop.time() < deadline:
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remaining = deadline - loop.time()
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if remaining <= 0:
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break
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try:
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fut = loop.sock_recvfrom(s, 2048)
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data, _addr = await asyncio.wait_for(fut, timeout=remaining)
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except (asyncio.TimeoutError, BlockingIOError):
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break
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parsed = _parse_broadcast(data)
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if parsed:
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seen.setdefault(parsed.get("listen_port"), parsed)
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finally:
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s.close()
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return list(seen.values())
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def _is_our_server_running() -> tuple[bool, int]:
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"""
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Check the PID file to see if our server is already running.
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Returns (running, port). Uses os.kill(pid, 0) to confirm the process is alive.
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"""
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try:
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with open(_PID_FILE) as f:
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pid = int(f.read().strip())
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with open(_PORT_FILE) as f:
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port = int(f.read().strip())
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os.kill(pid, 0) # raises OSError if process is gone
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return True, port
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except Exception:
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return False, 0
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def _find_free_port() -> int:
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"""Scan from preferred port upward; fall back to OS-assigned if the range is exhausted."""
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for port in range(_PREFERRED_PORT, _PREFERRED_PORT + 16):
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s = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
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s.setsockopt(socket.SOL_SOCKET, socket.SO_REUSEADDR, 1)
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try:
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s.bind(("127.0.0.1", port))
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s.close()
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return port
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except OSError:
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s.close()
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# Let OS assign any free port
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s = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
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s.bind(("127.0.0.1", 0))
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port = s.getsockname()[1]
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s.close()
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return port
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def _write_pid_and_port(port: int) -> None:
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try:
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with open(_PID_FILE, "w") as f:
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f.write(str(os.getpid()))
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with open(_PORT_FILE, "w") as f:
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f.write(str(port))
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except Exception:
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pass
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def _cleanup_pid_files() -> None:
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for path in (_PID_FILE, _PORT_FILE):
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try:
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os.unlink(path)
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except Exception:
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pass
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# Attempt to import Tracy Server bindings
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try:
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import TracyServerBindings as tracy_server
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except ImportError:
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sys.path.append(os.path.join(os.path.dirname(__file__), "../../build/python"))
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try:
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import TracyServerBindings as tracy_server
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except ImportError:
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tracy_server = None
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mcp_server = fastmcp.FastMCP("Tracy Profiler")
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executor = concurrent.futures.ThreadPoolExecutor(max_workers=4)
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class Task:
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def __init__(self, task_id: str, code: str):
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self.id = task_id
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self.code = code
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self.status = "pending"
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self.result = None
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self.error = None
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self.start_time = time.time()
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self.end_time = None
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class TracyInstance:
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def __init__(self, name: str, worker: object | None = None):
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self.name = name
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self.worker = worker
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self.path = None
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self.mtime = None
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instances: dict[str, TracyInstance] = {}
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tasks: dict[str, Task] = {}
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captures_dir: str | None = os.environ.get("TRACY_CAPTURES_DIR")
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@mcp_server.resource("tracy://prompt")
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def _prompt_resource() -> str:
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"""Tracy Assist's analysis guidance (system.prompt.md). Contains workflows
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for optimization, callstack inspection, and privacy rules. %TIME%, %USER%,
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and %PROGRAMNAME% are placeholders filled by the in-app chat — ignore them
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when reading from MCP."""
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return _read_text(_PROMPT_PATH)
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@mcp_server.resource("tracy://eval-guide")
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def _eval_guide_resource() -> str:
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"""Bindings-layer guide for the eval tool: ctx object model, time units,
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source-location ID semantics, and worked examples translating catalog
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entries into ctx Python."""
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return _read_text(_EVAL_GUIDE_PATH)
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@mcp_server.tool()
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async def list_captures() -> list[str]:
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"""List .tracy capture files in the TRACY_CAPTURES_DIR directory (non-recursive)."""
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if not captures_dir:
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return []
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return sorted(glob.glob(os.path.join(captures_dir, "*.tracy")))
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@mcp_server.tool()
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async def list_instances() -> list[dict]:
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"""List all loaded Tracy instances and captures with metadata."""
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return [
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{
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"id": name,
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"path": inst.path,
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"mtime": inst.mtime,
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"live": inst.path is None
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}
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for name, inst in instances.items()
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]
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@mcp_server.tool()
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async def discover_instances(port_range: str = "8086-8095") -> list[dict]:
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"""
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Scan for running Tracy-instrumented applications on local ports.
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Returns a list of discovered ports that are listening.
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"""
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start_port, end_port = map(int, port_range.split("-"))
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discovered = []
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async def check_port(port: int) -> None:
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try:
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_, writer = await asyncio.wait_for(
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asyncio.open_connection("127.0.0.1", port), timeout=0.1
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)
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writer.close()
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await writer.wait_closed()
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discovered.append({"port": port, "address": "127.0.0.1"})
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except (OSError, asyncio.TimeoutError, ConnectionRefusedError):
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pass
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await asyncio.gather(*(check_port(p) for p in range(start_port, end_port + 1)))
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return discovered
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@mcp_server.tool()
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async def live_connect(address: str = "127.0.0.1", port: int = 8086, alias: str | None = None) -> str:
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"""
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Connect to a live running Tracy-instrumented application.
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Wraps Worker(addr, port, memoryLimit=-1). Returns the instance_id.
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"""
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if not tracy_server:
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return "Error: Tracy Server bindings not found."
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# Pre-flight: read Tracy's UDP broadcast on port 8086 and compare protocol
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# versions before attempting TCP. Mirrors what the Tracy GUI does so a
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# version mismatch produces a precise error instead of an opaque timeout.
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# Tracy clients broadcast every ~3s (TracyProfiler.cpp), so we listen a
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# little longer to guarantee catching at least one beat.
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broadcasts = await _listen_broadcasts(timeout_s=3.5)
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match = next((b for b in broadcasts if b.get("listen_port") == port), None)
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if match and _OUR_PROTOCOL_VERSION is not None:
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if match["protocol_version"] != _OUR_PROTOCOL_VERSION:
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return (
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f"Protocol mismatch: target program '{match['program']}' "
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f"announces Tracy protocol v{match['protocol_version']} on "
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f"{address}:{port}, but these server bindings are built "
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f"against v{_OUR_PROTOCOL_VERSION}. Rebuild the bindings or "
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f"the target against a matching Tracy version."
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)
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try:
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w = tracy_server.Worker(address, port)
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except Exception as e:
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return f"Failed to connect: {str(e)}"
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# Worker construction returns immediately even on protocol failure (the
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# bindings expose no error state — is_connected() is the only signal).
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# Probe briefly so silent failures (e.g. TRACY_ON_DEMAND with no profiler
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# request yet, or a target broadcasting on a non-default port) surface
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# cleanly even when broadcast pre-flight didn't catch them.
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deadline_s = 2.0
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step_s = 0.1
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elapsed = 0.0
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while elapsed < deadline_s and not w.is_connected():
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await asyncio.sleep(step_s)
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elapsed += step_s
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if not w.is_connected():
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try:
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w.shutdown()
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except Exception:
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pass
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hint = ""
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if broadcasts and not match:
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seen = ", ".join(
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f"'{b['program']}' on port {b.get('listen_port')} (protocol v{b['protocol_version']})"
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for b in broadcasts
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)
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hint = f" Detected other Tracy broadcasts: {seen}."
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elif not broadcasts:
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hint = (
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" No Tracy broadcasts were received on port 8086 in 3.5s — "
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"the target may use TRACY_ON_DEMAND, a non-default broadcast "
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"port, or isn't running."
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)
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return (
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f"Reached {address}:{port} but the Tracy handshake did not complete "
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f"within {deadline_s:.1f}s.{hint} Common causes: (1) the Tracy "
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f"client version embedded in the target program differs from these "
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f"server bindings; (2) the target was built with TRACY_ON_DEMAND "
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f"and is awaiting a profiler request; (3) another client is "
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f"already attached."
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)
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name = alias or f"live_{address}_{port}"
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instances[name] = TracyInstance(name, w)
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return (
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f"Connected to live instance as '{name}'. "
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f"Before your first eval, read resources tracy://prompt "
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f"(analysis guidance) and tracy://eval-guide (ctx object model, "
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f"ns time units, srcloc IDs)."
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)
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@mcp_server.tool()
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async def load_capture(path: str, alias: str | None = None) -> str:
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"""
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Load a .tracy capture file by absolute path.
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Parameters:
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path — absolute path to a .tracy file. On Windows use backslashes
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(e.g. 'E:\\\\traces\\\\foo.tracy').
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alias — optional instance name; overwrites existing on collision.
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If omitted, an ID is derived from filename and mtime.
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If you don't already have a path, call `list_captures` first — it lists
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.tracy files in the TRACY_CAPTURES_DIR environment directory.
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"""
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if not tracy_server:
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return "Error: Tracy Server bindings not found."
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try:
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mtime = os.path.getmtime(path)
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if alias:
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name = alias
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else:
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# unique name including mtime to avoid version collision
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name = f"{os.path.basename(path)}@{int(mtime):x}"
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if name in instances:
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inst = instances[name]
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if inst.path == path and inst.mtime == mtime:
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return f"Instance '{name}' is already loaded and up to date."
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f = tracy_server.open_file(path)
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w = tracy_server.create_worker_from_file(f)
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inst = TracyInstance(name, w)
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inst.path = path
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inst.mtime = mtime
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instances[name] = inst
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return (
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f"Loaded as '{name}'. "
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f"Before your first eval, read resources tracy://prompt "
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f"(analysis guidance) and tracy://eval-guide (ctx object model, "
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f"ns time units, srcloc IDs)."
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)
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except Exception as e:
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return f"Failed to load: {str(e)}"
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@mcp_server.tool()
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async def save_trace(
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instance_id: str,
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path: str,
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level: int = 3,
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streams: int = 4,
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fi_dict: bool = False,
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overwrite: bool = False,
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async_mode: bool = True,
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) -> object:
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"""
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Snapshot a Tracy instance (live or loaded) to a .tracy file.
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Wraps `Worker::Write` under the main-thread data lock — safe for live
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instances; the receive thread yields cooperatively for the duration of
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the write. Concurrent `eval` calls against the same live instance may
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stall until the save completes.
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Parameters:
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instance_id — name returned by live_connect / load_capture.
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path — output file. Absolute paths are used as-is; a bare
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filename is resolved under TRACY_CAPTURES_DIR if set.
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On Windows use backslashes (e.g. 'E:\\\\traces\\\\a.tracy').
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level — Zstd compression level (default 3, matches capture tool).
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streams — number of compression streams (default 4).
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fi_dict — rebuild frame-image dedup dictionary on save. Only
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meaningful for traces containing screenshots; default
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False matches the capture tool and GUI default.
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overwrite — refuse to clobber an existing file unless True.
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async_mode — default True; large traces take seconds-to-minutes.
|
|
Returns {task_id, status: "running"}; poll with `task`.
|
|
|
|
On success returns a dict with path, uncompressed_bytes, compressed_bytes,
|
|
ratio, and elapsed_ms — the same numbers the capture tool prints.
|
|
"""
|
|
if instance_id not in instances:
|
|
return f"Error: Instance '{instance_id}' not found. Use list_instances to find valid IDs."
|
|
instance = instances[instance_id]
|
|
if not instance.worker:
|
|
return f"Error: Instance '{instance_id}' has no worker."
|
|
|
|
if not os.path.isabs(path):
|
|
if captures_dir and os.path.basename(path) == path:
|
|
path = os.path.join(captures_dir, path)
|
|
else:
|
|
return (
|
|
f"Error: '{path}' is not absolute. Pass a full path, or a bare "
|
|
f"filename with TRACY_CAPTURES_DIR set (currently "
|
|
f"{captures_dir!r})."
|
|
)
|
|
if not path.endswith(".tracy"):
|
|
path += ".tracy"
|
|
if os.path.exists(path) and not overwrite:
|
|
return (
|
|
f"Error: '{path}' already exists. Pass overwrite=True to clobber, "
|
|
f"or choose a different path."
|
|
)
|
|
|
|
if not async_mode:
|
|
return await _execute_save(instance.worker, path, level, streams, fi_dict)
|
|
|
|
task_id = str(uuid.uuid4())
|
|
t = Task(task_id, f"save_trace({instance_id} -> {path})")
|
|
tasks[task_id] = t
|
|
asyncio.get_running_loop().run_in_executor(
|
|
executor, _run_save_task_sync, t, instance.worker, path, level, streams, fi_dict
|
|
)
|
|
return {"task_id": task_id, "status": "running"}
|
|
|
|
|
|
def _save_worker_sync(worker: object, path: str, level: int, streams: int, fi_dict: bool) -> dict:
|
|
t0 = time.time()
|
|
uncompressed, compressed = tracy_server.save_worker(
|
|
worker, path, level, streams, fi_dict
|
|
)
|
|
elapsed_ms = int((time.time() - t0) * 1000)
|
|
ratio = (compressed / uncompressed) if uncompressed else 0.0
|
|
return {
|
|
"path": path,
|
|
"uncompressed_bytes": uncompressed,
|
|
"compressed_bytes": compressed,
|
|
"ratio": ratio,
|
|
"elapsed_ms": elapsed_ms,
|
|
}
|
|
|
|
|
|
def _run_save_task_sync(t: Task, worker: object, path: str, level: int, streams: int, fi_dict: bool) -> None:
|
|
t.status = "running"
|
|
try:
|
|
t.result = _save_worker_sync(worker, path, level, streams, fi_dict)
|
|
t.status = "completed"
|
|
except Exception as e:
|
|
t.error = str(e)
|
|
t.status = "failed"
|
|
finally:
|
|
t.end_time = time.time()
|
|
|
|
|
|
async def _execute_save(worker: object, path: str, level: int, streams: int, fi_dict: bool) -> dict:
|
|
return await asyncio.get_running_loop().run_in_executor(
|
|
executor, _save_worker_sync, worker, path, level, streams, fi_dict
|
|
)
|
|
|
|
|
|
@mcp_server.tool()
|
|
async def unload_capture(instance_id: str) -> str:
|
|
"""Unload a Tracy instance and release its memory."""
|
|
if instance_id in instances:
|
|
del instances[instance_id]
|
|
return f"Instance '{instance_id}' unloaded."
|
|
return f"Instance '{instance_id}' not found."
|
|
|
|
|
|
@mcp_server.tool(name="eval")
|
|
async def tracy_eval(code: str, instance_id: str, async_mode: bool = False) -> object:
|
|
"""
|
|
Execute Python code against a specific Tracy Worker bound as `ctx`.
|
|
|
|
On first use, read the `tracy://prompt` (analysis guidance) and
|
|
`tracy://eval-guide` (ctx object model, units, source-location ID joins)
|
|
resources. Time values returned by Worker methods are nanoseconds.
|
|
|
|
If async_mode=True, returns a task_id immediately; poll via the `task` tool.
|
|
"""
|
|
if instance_id not in instances:
|
|
return f"Error: Instance '{instance_id}' not found. Use list_instances to find valid IDs."
|
|
|
|
instance = instances[instance_id]
|
|
if not instance.worker:
|
|
return f"Error: Instance '{instance_id}' has no worker."
|
|
|
|
if not async_mode:
|
|
return await _execute_eval(code, instance.worker)
|
|
|
|
# Async mode: spawn task and return immediately
|
|
task_id = str(uuid.uuid4())
|
|
task = Task(task_id, code)
|
|
tasks[task_id] = task
|
|
asyncio.get_running_loop().run_in_executor(
|
|
executor, _run_task_sync, task, instance.worker
|
|
)
|
|
return {"task_id": task_id, "status": "running"}
|
|
|
|
|
|
def _run_task_sync(task: Task, worker: object) -> None:
|
|
"""Run a background eval task in the thread pool."""
|
|
task.status = "running"
|
|
try:
|
|
task.result = _execute_eval_sync(task.code, worker)
|
|
task.status = "completed"
|
|
except Exception as e:
|
|
task.error = str(e)
|
|
task.status = "failed"
|
|
finally:
|
|
task.end_time = time.time()
|
|
|
|
|
|
def _execute_eval_sync(code: str, ctx: object) -> str:
|
|
"""Execute *code* with `ctx` bound to the Tracy worker. Captures stdout."""
|
|
global_vars = {
|
|
"__builtins__": builtins,
|
|
"ctx": ctx,
|
|
"tracy": tracy_server,
|
|
"instances": {name: inst.worker for name, inst in instances.items()},
|
|
}
|
|
buf = io.StringIO()
|
|
with redirect_stdout(buf):
|
|
try:
|
|
result = eval(compile(code, "<eval>", "eval"), global_vars)
|
|
except SyntaxError:
|
|
exec(compile(code, "<exec>", "exec"), global_vars)
|
|
result = None
|
|
output = buf.getvalue()
|
|
if result is None:
|
|
return output or ""
|
|
return str(result)
|
|
|
|
|
|
async def _execute_eval(code: str, ctx: object) -> str:
|
|
"""Async wrapper: runs `_execute_eval_sync` in the thread-pool executor."""
|
|
return await asyncio.get_running_loop().run_in_executor(
|
|
executor, _execute_eval_sync, code, ctx
|
|
)
|
|
|
|
|
|
@mcp_server.tool()
|
|
async def task(action: str, task_id: str | None = None) -> object:
|
|
"""
|
|
Manage background analysis tasks.
|
|
|
|
Actions: poll, cancel, list
|
|
"""
|
|
if action == "list":
|
|
return [
|
|
{"id": t.id, "status": t.status, "elapsed": time.time() - t.start_time}
|
|
for t in tasks.values()
|
|
]
|
|
|
|
if not task_id or task_id not in tasks:
|
|
return "Error: Task ID not found."
|
|
|
|
t = tasks[task_id]
|
|
if action == "poll":
|
|
res: dict = {"id": t.id, "status": t.status}
|
|
if t.status == "completed":
|
|
res["result"] = t.result
|
|
elif t.status == "failed":
|
|
res["error"] = t.error
|
|
return res
|
|
|
|
if action == "cancel":
|
|
# Cancellation of thread-pool work is not possible post-submission;
|
|
# mark the task so callers know it was abandoned.
|
|
if t.status == "running":
|
|
t.status = "cancelled"
|
|
return f"Task {task_id} marked as cancelled."
|
|
return f"Task {task_id} is not running."
|
|
|
|
return "Error: Unknown action."
|
|
|
|
|
|
@mcp_server.tool()
|
|
async def shutdown_server() -> str:
|
|
"""
|
|
Shut down the Tracy MCP server.
|
|
|
|
Because the server runs as a singleton (SSE transport, one process shared
|
|
across all VS Code windows), this releases the TracyServerBindings.pyd lock
|
|
for all clients at once. Restart tracy_mcp.py after rebuilding.
|
|
"""
|
|
import threading
|
|
def _exit() -> None:
|
|
time.sleep(0.2)
|
|
os._exit(0)
|
|
threading.Thread(target=_exit, daemon=True).start()
|
|
return "Server shutting down. Restart tracy_mcp.py to reconnect."
|
|
|
|
|
|
if __name__ == "__main__":
|
|
atexit.register(_cleanup_pid_files)
|
|
|
|
running, existing_port = _is_our_server_running()
|
|
if running:
|
|
print(
|
|
f"Tracy MCP already running on port {existing_port}. "
|
|
"All VS Code windows share that instance.",
|
|
file=sys.stderr,
|
|
)
|
|
sys.exit(0)
|
|
|
|
port = _find_free_port()
|
|
_write_pid_and_port(port)
|
|
|
|
print(f"Tracy MCP listening on http://127.0.0.1:{port}/sse", file=sys.stderr)
|
|
|
|
mcp_server.settings.host = "127.0.0.1"
|
|
mcp_server.settings.port = port
|
|
try:
|
|
mcp_server.run(transport="sse")
|
|
except KeyboardInterrupt:
|
|
print("\nTracy MCP server stopped.", file=sys.stderr)
|
|
sys.exit(0)
|