"MCP feedback enhancement" matching MCP servers:

A feedback-oriented MCP server with a Web UI for AI development workflows, enabling interactive confirmations and reducing speculative tool calls.

Enables AI assistants to access TestFlight beta tester feedback, including screenshots, crash logs, and text comments from App Store Connect. It works across any platform without requiring Xcode, using official API keys and optional browser automation for full text feedback.

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.

Enables AI assistants to request user feedback and confirmation to prevent speculative tool calls and reduce resource usage. It streamlines task completion by consolidating multiple potential steps into a single, feedback-aware process.

Enables AI assistants to manage website feedback from Feedbucket, including listing, filtering, commenting on, and resolving feedback items through natural language interactions.

Establishes feedback-oriented development workflows with Web UI and desktop application dual interfaces, enabling AI to confirm with users and consolidate tool calls into feedback requests to reduce costs and improve development efficiency.

Establishes feedback-oriented development workflows with Web UI and desktop application interfaces, enabling AI to confirm with users and consolidate tool calls into single feedback requests.

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.

Collects user feedback with text and image support through an Electron app, allowing AI tools to gather and process user input with customizable prompts and multiple response options.

Enables interactive feedback collection through a web interface with support for image uploads, extended timeout handling, and offline reconnection capabilities for long-running AI conversations.

Provides video enhancement capabilities through MCP tools for creating, monitoring, and synchronously processing video enhancement tasks with configurable resolution options.

Helps refine AI-generated content to sound more natural and human-like. Built with advanced AI detection and text enhancement capabilities.

Enables LLMs to capture and analyze screenshots of your screen, windows, or regions with smart detection capabilities. Features natural language queries, automatic window targeting, and text enhancement for UI debugging and visual inspection.

A MCP server that enables AI assistants to collect interactive user feedback with text and image support via a modern GUI.

Enables AI assistants to collect interactive user feedback through a modern GUI that supports text input, multiple image uploads (via file selection or clipboard paste), allowing users to provide comprehensive feedback with screenshots and comments.

A Cursor IDE enhancement plugin that provides multi-session MCP functionality and Cursor membership switching. It enables parallel chat sessions across projects and allows users to modify Cursor's membership type without requiring activation codes.

Provides a Qt-based graphical interface for AI tools like Cursor to facilitate real-time human feedback and streamlined command execution. It features customizable shortcut responses, image processing, and a structured RIPER-5 workflow protocol to improve development accuracy and efficiency.

Provides tools to interact with RunwayML and Luma AI APIs for video and image generation, including text-to-video, image-to-video, prompt enhancement, and management of generations.

A TypeScript MCP server for TypeSafe Jev, exposing one tool for batched classification, rubric scoring, and yes/no judgments with probabilities and token usage. Includes Codex compatibility checks and requires a TypeSafe API key.

Lets MCP clients discover and run AppleScript or JavaScript for Automation (JXA) to control macOS applications, inspect the system, or reuse scripts from a bundled knowledge base.