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

Enables MCP clients such as Claude and ChatGPT to read events, performances, seating, packages, visits, transactions, and organisation context from a ticketing channel, and, when writes are enabled, create and release reservations.

Dual-mode tool server for controlling Spotify through terminal or AI assistants like Claude or ChatGPT.

Enables AI agents to analyze public Reels, TikTok, and YouTube Shorts by extracting timestamped transcripts, visual understanding, and searchable video maps, then query specific moments via MCP tools.

MCP server that surfaces King Crimson records, live performances, and a curated incarnation model showing which line-up era each song belongs to.

MCP server for reading YouTube subtitles without authentication or external binaries, using YouTube's internal get_panel endpoint to avoid rate limits and fetch full subtitles in a single request.

Enables AI assistants to query and manage a local Engine DJ library on macOS, including searching tracks by BPM, key, genre, or comments, auditing duplicates and missing files, reading cues and beatgrids, and building playlists or fixing tags when write access is enabled.

A local stdio MCP server that gives Claude (or any MCP client) full programmatic control over a single YouTube channel, including video upload, channel management, comments, analytics, and more.

Enables AI agents to read transcripts of any public video, research channels, analyze performance, read comments, and manage multiple owned channels.

A server that lets you get customized music recommendations from TIDAL based on your specific criteria, allowing you to create new playlists directly in your TIDAL account.

MCP server that provides YouTube video data to AI agents, supporting search, metadata, comments, and transcripts without an API key.

Context7 MCP is a service that provides developers with the latest code documentation and examples. By integrating into the development environment, it ensures that the code generated by LLMS is based on the latest library documentation.

A YouTube MCP server that enables AI agents to search videos, fetch transcripts, comments, and channel info, with optional API key for extra features and local semantic search via corpora.

Finds YouTube outlier videos on small channels with high views-to-subs ratio, and provides tools to analyze video structure and comments to verify replicable formats.

A comprehensive MCP server that provides Claude AI with full access to YouTube content, including searchable transcripts, metadata, comments, and playlists. It uniquely supports capturing video screenshots and extracting audio clips for analysis across both local and remote platforms.

Gives Claude access to YouTube features such as transcripts, search, video and channel stats, comments, playlists, and trending videos, with optional API key for full functionality.

Enables AI assistants to interact with Overseerr for automated media discovery, requests, and management in your Plex ecosystem, including searching for movies/TV shows, requesting media, checking request status, and managing approvals.

Enables extracting YouTube video transcripts, comments, and search results via MCP. Supports both Stdio and StreamableHTTP transports.

Integrates with the Neptime.io video platform, providing 39 tools for video management, uploads, channels, playlists, comments, articles, and more via the Model Context Protocol.

FastMCP server to interact with the Overseerr API for movie and TV show requests management, enabling users to request media, search, and manage libraries via natural language.

Extracts and processes YouTube video content including transcripts, metadata, comments, and channel information for LLMs.