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

Lets a running interactive agent session receive outside events — webhooks, cron timers, files landing in a directory — pushed directly into its transcript as they happen. Users can drop a small source plugin file into their project and have the agent notice and act on external triggers mid-session, with no human re-prompting and no restarts.

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

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

Streams GitHub webhook events (push, PR, issues, CI) into Claude Code session in real-time, enabling live awareness of repository activity.

Enables LLMs to perform addition calculations through a stdio-based MCP server with an add_numbers tool and type-safe validation.

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

Enables AI agents to call tools through a security gateway that intercepts requests, enforces deterministic policy and risk checks, blocks or escalates high-risk actions for human approval, and keeps tool credentials and audit logs protected.

Extends Claude Code with rich Telegram messaging (photos, files, keyboards, invoices) and TON blockchain tools, designed to safely coexist with Claude Channels by disabling polling in CHANNELS_MODE.

High-efficiency YouTube MCP server: Get token-optimized, structured data for your LLMs using the YouTube Data API v3.

MCP server for extracting structured intelligence from YouTube channels and videos — transcripts, topics, and competitive signals for AI-powered research workflows.

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

MCP server for YouTube creator-ops — video metadata, comments, playlists, channel analytics, plus a ComfyUI bridge for AI thumbnail generation.

Enables AI assistants to fetch YouTube video transcripts and metadata without sign-in, and access signed-in users' own YouTube account data such as subscriptions, playlists, uploads, and caption tracks via OAuth 2.0.

Enables Claude Code to access YouTube features such as video transcripts, search, metadata, channel info, playlists, comments, trending videos, engagement analytics, chapters, SponsorBlock, and most-replayed heatmaps.

Enables YouTube search, video details, channels, playlists, and comments scraping via MCP, no API key required.

A local-first MCP server for inspecting and managing a creator-owned YouTube channel, using Google's official YouTube Data API v3 and Analytics API.

An MCP server that enables users to retrieve YouTube transcripts and perform video or channel searches without requiring Google API keys. It supports transcript chunking and provides tools for detailed video content analysis and channel metadata extraction.

A tool discovery MCP server that integrates with Azure DevOps wikis and code-graph-rag to match natural language goals to tools, enabling tool composition and proxy testing.

MCP server enabling Claude Code to capture screenshots of Windows applications through WSL2, allowing AI to diagnose UI errors and verify layouts.

Local YouTube MCP server for turning public video, channel, and playlist URLs into structured context, with bounded comment retrieval, timestamped captions, and owned-playlist management using your own Google Cloud credentials.

A Model Context Protocol server enabling AI language models to search, retrieve, and manage YouTube content including videos, channels, transcripts, and playlists.

Enables read-only research on YouTube by exposing video metadata, transcripts, comments, search, channels, playlists, and trending data through four task-oriented tools.

Enables AI assistants to analyze YouTube channels, videos, transcripts, and content strategy through structured tool calls.

Enables AI assistants to search and retrieve YouTube videos, channels, playlists, and transcripts through the Model Context Protocol.

Enables AI assistants to search YouTube, manage a channel, read analytics, and handle uploads, playlists, captions, comments, and moderation while requiring explicit approval for every change.

Bridges the ChatGPT web UI to a local development environment over MCP, letting the model read and patch files, run real shell commands and terminals, execute tests, and control the desktop (screen, mouse, keyboard, clipboard) within user-approved folders. It adds parallel workers, goal/loop long-task control, plugin tools, and a security-hardening layer with risk-tiered shell policy, audit logging, and credential sanitization.

Enables AI assistants to watch YouTube videos by extracting frames at scene changes and visual references, pairing each frame with the exact words spoken at that timestamp. Provides dense frame-transcript interleaving for any model.

Enables Claude and other MCP clients to query a user's YouTube channel analytics and public YouTube data—including videos, channels, playlists, comments, searches, and trending charts—through read-only Google APIs on a privately hosted deployment.

Enables running a stateless Model Context Protocol server over Streamable HTTP on Cloudflare Workers or any fetch-capable runtime, with signed sessions, origin checks, and JSON-RPC request handling. It lets developers define tools with JSON Schema validation and per-request context.

Enables MCP clients to manage multiple named YouTube accounts through one local stdio server, covering video upload and scheduling, metadata, captions, playlists, comments, live broadcasts and chat, channel branding, and analytics reporting via the official Google APIs. It also offers optional FFmpeg-based local media tools for probing, muxing audio, normalizing loudness, trimming, burning subtitles, and extracting thumbnails.