"A tool for analyzing user feedback data to support app product development" matching MCP servers:

Enables AI-assisted user feedback collection and management via a web interface, with MCP integration for automated replies and tool execution.

An MCP server that adds engineering discipline to AI-assisted development, enforcing evidence-gated TDD, security review, backup strategy, and deployment generation to turn AI-generated code into production-ready software.

MCP server for Open Feedback, enabling AI assistants to submit, list, get, update status of, and analyze product feedback via a local HTTP API and JSONL storage.

Collect and analyze user feedback from any app via a single API endpoint, with MCP tools for listing, searching, and stats.

An MCP App that enables AI agents to ask users multiple questions with tab-based navigation, multiple-choice options, multi-select support, and custom text input, all rendered inline in the conversation.

MCP server for ERP product operations that enables AI agents to precheck product packages, upload files, and create products automatically without manual token copying.

Enables LLMs to perform addition calculations through a stdio-based MCP server with an add_numbers tool and type-safe validation.

Enables Claude to collect and search for product feedback directly from Slack workspaces. It provides tools for pulling stakeholder messages with date filtering, retrieving full conversation threads, and searching feedback by keywords.

An MCP server for reviewing markdown plans before AI agents implement them. Enables annotation of plans with Fix, Question, and Highlight, which AI agents can read directly through MCP.

Cloudflare Worker that deploys an MCP server providing a single tool to return a user's timezone based on their IP address.

A read-only MCP server for Anaplan that exposes 5 tools for business users to explore data through an AI assistant, with session caching and metadata gating.

A cross-platform screenshot tool that lets coding agents capture and view their output, enabling self-correction through visual feedback.

Exposes generic Jira REST tools and native Jira Product Discovery operations for Jira Cloud, including insights and attachments.

Provides an interactive checklist tool that allows AI agents to present step-by-step instructions to users through an automatically opened terminal UI. It enables agents to guide users through manual tasks and wait for completion, skipping, or feedback before proceeding.

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.

MCP server for token-user-system wallet operations, supporting balance, trend, transactions, coupons, and corporate transfer info.

A tool discovery MCP server that integrates with Azure DevOps wikis and code-graph-rag to match natural language goals to tools, enabling tool composition and proxy testing.

MCP server for Google Cloud Support API v2. Provides tools for managing Google Cloud support cases through AI assistants.

Prevents premature AI coding by transforming vague product ideas into structured specifications, architecture decisions, and acceptance criteria through a series of interrogation and compilation tools.

Enables AI assistants to interact with MyAnimeList user accounts for list management, progress tracking, and personalized anime recommendations.