"Automating GitLab Merge Request Feedback with Line-Specific Comments" matching MCP servers:

Enables AI tools to read and send LINE messages by automating the LINE Desktop application, with macOS OCR-based reading and idle-aware scheduling.

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

Lets MCP clients automate a logged-in LINE Chrome extension, enabling chat search, message reading, text sending, and live event streaming for messages and chat updates.

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.

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 dual Web UI and Desktop interfaces, enabling AI to confirm with users before actions and consolidate multiple tool calls into a single feedback request.

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.

Enables automatic HTTP requests (GET, POST, PUT, DELETE, etc.) with JSON validation and proxy support. Supports custom headers, request bodies, and environment variable configuration for seamless API integration.

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

Enables AI tools to read and send messages through LINE Desktop via MCP, supporting manual or automatic sending without official LINE API tokens.

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.

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.

Enables sending LINE text messages and Flex Messages to user or group IDs, checking message quota, and receiving group webhooks via a remote MCP endpoint for ChatGPT integration.

A TypeScript-based MCP server that enables AI assistants to execute HTTP requests with full control over methods, headers, and body content. It facilitates seamless interaction with web APIs and endpoints through a versatile tool that handles automatic JSON formatting and response truncation.

MCP server to operate your own LINE bot: webhook queue health, failed jobs and retries, push, Rich Menu, follower insight.

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.

Enables language models to read and analyze LINE Bot conversations through a standardized MCP interface. Supports text, sticker, and image messages with webhook event handling and message storage in JSON format.

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 interaction with Microsoft Copilot Studio Agents directly from VS Code through the Direct Line 3.0 API. Supports starting conversations, sending messages, retrieving history, and managing conversation lifecycle with your custom agents.