"A tool for reading and extracting content from PDF papers" matching MCP servers:

Analyzes YouTube videos and X (Twitter) feeds to extract transcripts, generate takeaways, TLDRs, social hooks, and comic-style infographics, and syncs results to GitHub, all callable as MCP tools.

A MCP server that supports AI assistants to read and analyze PDF files, providing functions such as PDF metadata extraction, page range reading, and keyword search

Enables AI agents to search, watch, summarize, clip, and extract transcripts from YouTube videos, all without needing an API key or leaving the chat.

A Model Context Protocol (MCP) server that provides YouTube Data API v3 integration for content discovery and analytics. It enables AI assistants to search for videos, channels, playlists, and retrieve detailed metrics.

Enables AI assistants to search YouTube for videos, channels, and playlists while retrieving detailed analytics and metrics through the YouTube Data API v3. Supports advanced filtering options and provides comprehensive statistics for content discovery and analysis.

Enables querying Rick and Morty characters, locations, and episodes using the Rick and Morty API with no authentication required.

Enables fetching, searching, and summarizing YouTube video transcripts with multi-language support.

A recipe query tool that supports querying recipes and reporting dish names through the command line, suitable for cooking enthusiasts and developers.

A lightweight MCP server for reading public YouTube data, offering tools to fetch video transcripts, playlist contents, and video metadata without requiring an API key.

A local MCP server that bridges Logic Pro MIDI data via an AUv3 plugin, enabling reading, creating, and manipulating MIDI regions and tracks through tools like read_logic_track and create_midi_region.

YouTube Skills (TranscriptAPI) is the production API for extracting, searching, and analyzing YouTube content at scale. While other tools break when YouTube changes or cap you at 100 requests/day, TranscriptAPI serves 15 million transcripts monthly at 49ms median response time.

An MCP server that enables users to search for movie and TV show resources across multiple sources and validate video link playability. It supports both STDIO and SSE transport modes for seamless integration with AI applications.

Enables YouTube competitor research, signal analysis, and transcript-aware pack building for content ideation and scriptwriting.

A Python-based Model Context Protocol server that allows AI assistants like Claude to access and query your movie and TV show collection via Radarr and Sonarr APIs.

An MCP server that enables AI assistants to manage your Radarr movies and Sonarr TV shows, including search, add, delete, monitor, and grab releases.

Enables AI-powered music generation through natural language commands, supporting both inspiration and custom modes with automatic polling for async generation.

Enables natural language control of Crestron 4-Series AV systems via MCP tools, connecting Claude to a processor over TCP with TLS authentication.

Enables AI-powered music generation through natural language commands, supporting both inspiration mode (AI-generated lyrics and style) and custom mode (user-provided lyrics and parameters) to create songs with direct download links.

Provides tools for discovering events at Madison Square Garden via the Ticketmaster API, returning structured data with event details like name, date, price, and ticket purchase links.

MCP server for managing Cassette music releases and Creator clips through AI assistants via personal access tokens.