Interactive Feedback MCP

For the best results, add the following to your custom prompt in your AI assistant, you should add it on a rule or directly in the prompt (e.g., Cursor):

Whenever you want to ask a question, always call the MCPinteractive_feedback.
Whenever you’re about to complete a user request, call the MCPinteractive_feedbackinstead of simply ending the process. Keep calling MCP until the user’s feedback is empty, then end the request.

This will ensure your AI assistant uses this MCP server to request user feedback before marking the task as completed.

By guiding the assistant to check in with the user instead of branching out into speculative, high-cost tool calls, this module can drastically reduce the number of premium requests (e.g., OpenAI tool invocations) on platforms like Cursor. In some cases, it helps consolidate what would be up to 25 tool calls into a single, feedback-aware request — saving resources and improving performance.

This MCP server uses Qt'sQSettingsto store configuration on a per-project basis. This includes:

- The command to run.
- Whether to execute the command automatically on the next startup for that project (see "Execute automatically on next run" checkbox).
- The visibility state (shown/hidden) of the command section (this is saved immediately when toggled).
- Window geometry and state (general UI preferences).

These settings are typically stored in platform-specific locations (e.g., registry on Windows, plist files on macOS, configuration files in~/.configor~/.local/shareon Linux) under an organization name "FabioFerreira" and application name "InteractiveFeedbackMCP", with a unique group for each project directory.

The "Save Configuration" button in the UI primarily saves the current command typed into the command input field and the state of the "Execute automatically on next run" checkbox for the active project. The visibility of the command section is saved automatically when you toggle it. General window size and position are saved when the application closes.
- Prerequisites:

- Windows:pip install uv
- Linux/Mac:curl -LsSf https://astral.sh/uv/install.sh | sh

- Clone this repository:git clone https://github.com/noopstudios/interactive-feedback-mcp.git
- Or download the source code.

- uv sync(this creates a virtual environment and installs packages)

-

Cursor typically allows specifying custom MCP servers in its settings. You'll need to point Cursor to this running server. The exact mechanism might vary, so consult Cursor's documentation for adding custom MCPs.

Manual Configuration (e.g., viamcp.json)Remember to change the/Users/fabioferreira/Dev/scripts/interactive-feedback-mcppath to the actual path where you cloned the repository on your system.

For any questions, suggestions, or if you just want to share how you're using it, feel free to reach out on X!

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