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

Enables triaging product feedback over a local dataset, including search, theme clustering, severity tagging, and drafting PRD-ready problem statements.

Enables app intelligence across Google Play and the Apple App Store, including details, reviews, and search via a unified API.

An MCP server for internal data platforms that enables search, viewing, tracing, and read-only querying of business assets like dashboards, metrics, and events.

Enables AI agents to index and search across SQLite databases and CSV files to discover table schemas and column metadata. It provides a unified MCP API for data source management and structural exploration through natural language.

MCP server adapter that exposes A-share stock data tools, prompts, and resources via FastMCP, enabling querying of stocks, K-lines, financials, sectors, and market hot spots through natural language.

Enables AI agents to search and discover data across SQLite and CSV sources through an MCP interface, with metadata indexing and fuzzy search capabilities.

Enables AI assistants to query the FoxData API for iOS and Google Play app analytics, including downloads, revenue, rankings, keywords, competitor insights, and ad data across 200+ countries. Supports natural-language requests to retrieve app intelligence and market data.

A custom MCP tool that integrates Perplexity AI's API with Claude Desktop, allowing Claude to perform web-based research and provide answers with citations.

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.

Semantic navigator for MCP tools that finds relevant tools by natural language intent, reducing token usage by 95%.

Enables AI agents to access QCObjects product-specs documentation for building apps, with tools to list specs, search docs, and fetch pages.

Enables natural language product management (CRUD) with multiple classification methods, including LLM-based and fast ML classifiers, for product creation, listing, updating, and deletion via a chat interface.

Enables local data discovery by indexing metadata from SQLite, CSV, and Markdown sources, providing hybrid keyword and TF-IDF semantic search via MCP tools (listSources, indexSource, search, getSchema) and a REST API.

Enables product search functionality via MCP, allowing Claude to search products by keyword with filters, list categories, and retrieve product details.

Enables read-only, user-initiated searches of public r/comfyui troubleshooting discussions, returning titles, excerpts, and direct Reddit links to help find existing solutions before posting duplicate support questions.

Enables AI agents to interact with Slack using a user token, providing full access to message search, channel history, DMs, and posting as the user.

MCP server for AI-native L1 support: triages tickets, answers from a knowledge base, escalates to L2 via Telegram/GitHub, and manages feedback, with a LangGraph workflow and safety guardrails.

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

Enables local, deterministic management and search of point-of-sale support data—branches, terminals, incidents, and incident history—with read-only queries and mutating tools over stdio using simulated SQLite data.

Searches Reddit for answers to questions and saves Q&A sessions to Notion.

MCP server that gives an AI assistant tools to search and inspect Amazon product data.

Search product catalogs across thousands of Central European e-shops. Semantic search, keyword matching, GTIN/EAN lookup — via REST API or MCP. \~2,500 e-shops | ~8.5M products | 7 countries (CZ, SK, PL, HU, RO, DE, AT)

An MCP server that connects to Telegram as your real user account and exposes read-only tools to read and search messages, list chats and folders, inspect group info, and download media.

Enables natural-language Q&A over customer support ticket data. Provides tools for schema inspection, SQL-based ticket counts and grouping, and full-text search for customer wording without requiring API keys.

Enables searching and scraping of product listings from major Pakistani e-commerce platforms including Daraz, Telemart, and iShopping. It provides tools to find the lowest-priced items with ratings of four stars or higher through automated web scraping.

Enables enterprise SaaS support teams to get retrieval-augmented answers from indexed support documentation and to run natural-language questions as SQL queries against a support PostgreSQL database. It returns answers with source references and exposes the generated SQL alongside its results, with optional tracing and evaluation.

An AI-powered support ticket management system that lets users retrieve, search, and update support tickets using natural language.

Enables Claude Desktop to interact with PostgreSQL databases through natural language for schema exploration, data analysis, and query execution. Users can search schemas, describe tables, and perform read or write operations without needing to write manual SQL.

Enables AI hosts to query App Store download trends, growth percentages, and live top charts, along with 30+ other trend data sources, through MCP.

An MCP server that exposes SF Supplies product search API to LLM tools. Supports free-text search, autocomplete suggestions, and retrieving filterable attributes.