server.py•2.35 kB
import os
import sys
import json
import tempfile
import subprocess
from typing import Annotated, Dict
from fastmcp import FastMCP
from pydantic import Field
# The log_level is necessary for Cline to work: https://github.com/jlowin/fastmcp/issues/81
mcp = FastMCP("User Feedback", log_level="ERROR")
def launch_feedback_ui(project_directory: str, summary: str) -> dict[str, str]:
# Create a temporary file for the feedback result
with tempfile.NamedTemporaryFile(suffix=".json", delete=False) as tmp:
output_file = tmp.name
try:
# Get the path to feedback_ui.py relative to this script
script_dir = os.path.dirname(os.path.abspath(__file__))
feedback_ui_path = os.path.join(script_dir, "feedback_ui.py")
# Run feedback_ui.py as a separate process
# NOTE: There appears to be a bug in uv, so we need
# to pass a bunch of special flags to make this work
args = [
sys.executable,
"-u",
feedback_ui_path,
"--project-directory", project_directory,
"--prompt", summary,
"--output-file", output_file
]
result = subprocess.run(
args,
check=False,
shell=False,
stdout=subprocess.DEVNULL,
stderr=subprocess.DEVNULL,
stdin=subprocess.DEVNULL,
close_fds=True
)
if result.returncode != 0:
raise Exception(f"Failed to launch feedback UI: {result.returncode}")
# Read the result from the temporary file
with open(output_file, 'r') as f:
result = json.load(f)
os.unlink(output_file)
return result
except Exception as e:
if os.path.exists(output_file):
os.unlink(output_file)
raise e
def first_line(text: str) -> str:
return text.split("\n")[0].strip()
@mcp.tool()
def user_feedback(
project_directory: Annotated[str, Field(description="Full path to the project directory")],
summary: Annotated[str, Field(description="Short, one-line summary of the changes")],
) -> Dict[str, str]:
"""Request user feedback for a given project directory and summary"""
return launch_feedback_ui(first_line(project_directory), first_line(summary))
if __name__ == "__main__":
mcp.run(transport="stdio")