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nhatprx

Interactive Feedback MCP

by nhatprx

Interactive Feedback MCP

Why Use This?

By guiding the AI 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. 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.

Related MCP server: mcp-feedback-enhanced

One command to clone, install, and configure everything automatically for Antigravity IDE:

Windows (PowerShell):

irm https://raw.githubusercontent.com/nhatprx/Antigravity-MCP/v1.3.3/install.ps1 | iex

Linux / macOS:

curl -fsSL https://raw.githubusercontent.com/nhatprx/Antigravity-MCP/v1.3.3/install.sh | bash

The installer will: clone the repo → install dependencies → configure MCP server → add coding rules. Just restart Antigravity after it finishes.

Manual Installation

Prerequisites

  • uv (Python package manager). Note: You do not need Python installed on your machine; uv will download and manage the required Python version automatically!

    • Windows: irm https://astral.sh/uv/install.ps1 | iex

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

Setup

  1. Clone or download this repository.

  2. Install dependencies:

    cd path/to/interactive-feedback-mcp
    uv sync
  3. Add the MCP server to your Antigravity configuration (~/.gemini/antigravity/mcp.json):

    {
      "mcpServers": {
        "interactive-feedback-mcp": {
          "command": "uv",
          "args": [
            "--directory",
            "/path/to/interactive-feedback-mcp",
            "run",
            "server.py"
          ]
        }
      }
    }

    Note: If uv is not in your system PATH, use the full path to the uv executable instead (e.g., C:\\Users\\<user>\\AppData\\Local\\Python\\...\\Scripts\\uv.exe).

Prompt Engineering

For the best results, add the following as a coding rule in your AI assistant:

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

Adding Rules in Antigravity

Tutorial - Adding Rules in Antigravity

  1. Click Antigravity - Settings at the bottom of the chat panel.

  2. In the Agent settings, click Manage next to Customizations.

  3. Click + Global to add a global coding rule, then paste the prompt above.

Development

To run the server in development mode with a web interface for testing:

uv run fastmcp dev server.py

Author

Created by nhatprx.

License

This project is licensed under the MIT License.

Available Tools

1 tool
interactive_feedbackB

Request interactive feedback or ask the user a question by popping up a UI dialog.

ParametersJSON Schema
NameRequiredDescriptionDefault
project_directoryYesFull path to the project directory or current working directory
summaryYesShort summary of your work, OR the question you want to ask the user

TDQS

B3.1/5.0
Behavior2/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations; description only mentions popping up a UI dialog but omits critical behavioral traits such as whether it blocks, waits for response, or handles cancellation.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Single sentence, front-loaded with action. Efficient but could expand without losing conciseness.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given no output schema and no annotations, description is too brief. Lacks details on usage behavior and parameter roles.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so baseline is 3. Description adds no extra meaning to parameters beyond schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

Description clearly states the tool's action: request interactive feedback or ask user a question via UI dialog. Verb and resource are specific.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance on when or when not to use the tool. No alternatives or context provided.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Tool Schema Changelog

Recent tool additions, removals, and schema changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. 1 tool updatev0.1.0
    • First observedinteractive_feedback

TDQS

A3.7/5.0
Disambiguation5/5

Only one tool exists, so there is no possibility of confusion or overlap.

Naming Consistency5/5

The single tool uses a clear verb_noun pattern ('interactive_feedback'), consistent and descriptive.

Tool Count5/5

A server dedicated solely to interactive feedback is well-served by exactly one tool; the count matches the narrow scope.

Completeness5/5

For the server's stated purpose of requesting user feedback, the single tool covers the full functionality with no missing operations.

Maintenance

ActivityStale
ResponsivenessSyncing

Resources

Unclaimed servers have limited discoverability.

Looking for Admin?

If you are the server author, to access and configure the admin panel.

Related MCP Connectors

Related MCP Servers

  • F
    license
    A
    quality
    D
    maintenance
    Establishes feedback-oriented development workflows with dual Web UI and Desktop interfaces, enabling AI to confirm with users before actions and consolidate multiple tool calls into a single feedback request.
    2
    2
    -
  • F
    license
    A
    quality
    D
    maintenance
    Establishes feedback-oriented development workflows with Web UI and desktop app, enabling AI to confirm with users before actions and consolidate tool calls into feedback requests.
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