Skip to main content
Glama

user_feedback

Collect user feedback on project changes by submitting a directory path and summary for review.

Instructions

Request user feedback for a given project directory and summary

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
project_directoryYesFull path to the project directory
summaryYesShort, one-line summary of the changes

Implementation Reference

  • server.py:62-68 (handler)
    The main handler function for the 'user_feedback' tool. It processes inputs, extracts first lines, launches the feedback UI subprocess, and returns the result as a dictionary.
    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))
  • Input schema defined using Pydantic's Annotated and Field for descriptions, with output as Dict[str, str].
        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]:
  • server.py:61-61 (registration)
    Registers the user_feedback function as an MCP tool using the FastMCP decorator.
    @mcp.tool()
  • Helper function that launches the feedback_ui.py as a subprocess to collect user feedback and returns the result.
    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
  • Utility function to extract the first line from a string, used to shorten inputs for the UI.
    def first_line(text: str) -> str:
        return text.split("\n")[0].strip()
Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/mrexodia/user-feedback-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server