"A server for finding vibe code or vibe-related programming content" matching MCP servers:

Enables LLMs to compose and play multi-track MIDI music through natural language prompts. Supports outputting to software or hardware synthesizers for enhanced audio quality.

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 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 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 server that enables searching YouTube videos, retrieving and storing transcripts, and performing semantic search over video content without using the official YouTube API.

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

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.

Enables AI assistants to interact with the Vibe CTV/streaming advertising platform, allowing listing of advertisers, apps, campaigns, and creating reports via the Vibe API.

A comprehensive guide and template collection for building model Context Protocol (MCP) servers using FastMCP and deploying them to Google Cloud Run.

Plays Spotify tracks or system sounds as notifications when Claude Code completes tasks, with desktop notifications and cross-platform support for macOS, Linux, and Windows.

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.

Enables AI agents to manage RSS feeds and articles, safely extract full article text, and fetch YouTube transcripts through a token-optimized MCP interface.

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.

A production-ready MCP server for the Pexels API that lets AI assistants search and fetch photos, videos, and collections. It covers every documented Pexels endpoint with token-efficient output and license-aware credits.

An MCP server that finds real U.S. cities near a given zip code whose names match anything from The Simpsons.

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 assistants to interact with the M-Team private torrent tracker API for searching resources, retrieving torrent details, and downloading torrent files. It provides a bridge for Model Context Protocol clients to manage and access private tracker content through natural language.

Enables AI-powered podcast generation with single or dual speakers, FlowSpeech audio creation from text/URLs, speaker voice library management, and subscription tracking for ListenHub Pro users.

Provides YouTube video transcripts (text and metadata) as MCP tools for AI hosts like Claude Code, enabling summarization, search, and Q&A without watching the video.