"AMP" matching MCP servers:

An open-source MCP server for live Apple App Store competitor research, enabling AI agents to search apps, fetch metadata, compare competitors, and retrieve reviews and top charts as structured JSON.

Enables one-click download of L4D2 workshop campaigns via MCP, including search, campaign detection, dependency resolution, and dead map blocking. Integrates with bots like AstrBot so users can request maps in natural language.

Provides read-only access to App Store Connect analytics, sales, finance, and customer review data, with tools to fetch and parse reports from Apple's Analytics Reports API and other report endpoints.

Enables local-first natural language querying of JMP 19.1 documentation, returning menu paths, step-by-step instructions, citations, and relevant figures. Runs fully offline via Ollama and exposes tools for searching, browsing, fetching pages, and locating examples.

MCP server providing access to ESPN Fantasy Baseball data, enabling league settings, rosters, player lookup, free agents, waiver claims, lineup changes, and trade management.

Enables AI agents to analyze stocks, screen markets, compare peers, read earnings calls, and track sector rotations using live financial data from Financial Modeling Prep.

Enables conversational AI assistants to help users discover movies, find showtimes, book seats, and process payments for AMC Theatres through a simple API interface.

Provides a comprehensive movie booking experience for AMC Theatres, enabling conversational AI assistants to help users discover movies, find showtimes, book seats, and process payments.

Provides weather data from Open-Meteo with location search, current conditions, and forecasts, and can render an interactive dashboard directly in MCP hosts.

Enables AI assistants to interact with Cyoda platform entities and workflows through the Model Context Protocol, supporting entity management, workflow execution, and data synchronization.

A local-first, model-agnostic MCP server that stores personal health data in a SQLite file and provides analysis-ready views for any AI client to log, retrieve, and reason over health records.

Exposes a support-desk application through MCP tools and resources with populate/snapshot/restore hooks for reproducible RL training episodes.