"A tool for identifying popular YouTube channels based on topics" matching MCP servers:

Bridges Discord channels to Cursor's headless agent, enabling always-on Discord MCP interactions on a server.

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 Multi-Agent Conversation Protocol server that provides access to the New York Times Most Popular API, allowing agents to interact with NYT's most viewed, shared, and emailed content.

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

Enables YouTube integration with Claude Code, including video search, metadata retrieval, transcript fetching, channel exploration, and trending videos.

MCP server for YouTubeTranscript.dev — extract transcripts, manage history, and power AI assistants with YouTube content.

A template for deploying an MCP server on Vercel, with example tools like roll_dice and get_weather.

Enables Claude to directly analyze YouTube channel performance by fetching real metrics such as views, watch time, retention, traffic sources, reach/CTR, and comments via YouTube APIs.

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

Enables searching for songs on YouTube and automatically playing them in a web browser using the official YouTube Data API v3. It supports cross-platform execution on Windows, macOS, and Linux with built-in input validation.

Enables AI assistants to search videos, read channels, browse playlists, fetch comments, and get transcripts from YouTube using the YouTube Data API v3 and InnerTube API for captions.

Governed MCP server for bank-grade agent tool access with RBAC, PII redaction, rate limiting, and audit logging.

Enables YouTube video upload, metadata updates, thumbnail management, stats retrieval, and analytics via the YouTube Data API v3 and Analytics API using OAuth 2.0.

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

A Model Context Protocol (MCP) server that gives AI assistants the ability to search, analyze, and extract knowledge from YouTube videos.

Enables AI agents to search videos, retrieve metadata and transcripts, pinpoint exact moments via hybrid semantic search, and conduct multi-video research with timestamp deep links—all without YouTube API keys.

A powerful MCP server for summarizing YouTube videos with transcript fetching, intelligent summarization, key point extraction, and metadata retrieval.

Fetches YouTube video subtitles and transcripts with support for multiple languages and output formats (SRT, VTT, TXT, JSON).

Enables searching and playing songs via YouTube Data API v3, returning YouTube playback URLs.

An MCP server implementation of Anthropic's Think Tool prompt engineering technique that enables Claude to break down complex problems and enhance its reasoning capabilities by providing a simple tool that echoes back thoughts.