"A platform for managing YouTube channel content and analytics" matching MCP servers:

Enables AI-powered YouTube content management using Claude Code to orchestrate research, scripting, and scheduling via Google Sheets, Docs, and Drive.

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.

Local MCP server that indexes public YouTube captions into a searchable SQLite FTS5 database, enabling timestamped search and transcript retrieval without an API key.

Lets an MCP client read comment threads on your own YouTube channel, prepare replies, moderate or hide comments, and query YouTube Analytics reports. Every publishing or moderation action is held for explicit user confirmation before it takes effect.

Enables Claude to control a YouTube channel through MCP, including uploading and editing videos, scheduling releases, and reading channel and video analytics via official APIs.

Extract content from URLs, documents, videos, and audio files using intelligent auto-engine selection. Supports web pages, PDFs, Word docs, YouTube transcripts, and more with structured JSON responses.

Local read-only MCP server for YouTube Data API v3 and YouTube Analytics API, enabling public video searches and OAuth-based private channel reads.

MCP server for YouTube Data API v3 enabling video search, channel lookup, trending content, comments, and playlist management.

Lets AI assistants manage a self-hosted content hub: create, edit, publish, and update articles across nine platforms, refresh account article lists, and sync changes through natural language.

Enables AI agents to analyze a piece of content across 11 dimensions and receive ranked, scored recommendations among six cross-media output formats (PPT, infographic, comic, short video script, newsletter, reusable skill), then generate dispatch prompts for the chosen format. It also exposes the format catalog and profile schema as read-only tools, supporting batch routing of an entire content library.

Enables AI clients to manage a self-hosted content hub: create, edit, publish, and update articles across multiple platforms, plus AI writing and account management.

Enables managing a YouTube channel through natural language: upload videos, edit metadata, set thumbnails, run pseudo A/B thumbnail tests, and pull analytics.

Retrieves YouTube Channel statistics, metadata, and uploaded videos using the YouTube Data API v3.

Lets an AI assistant read and write business records in plain language, including looking up people, creating and updating tasks, logging time, and pulling utilization reports through a synthetic ops platform or an optional ClickUp adapter.

Fast, minimal YouTube 'watch' engine for AI agents that extracts clean transcripts, searches, and slices any YouTube video without requiring an API key.

MCP server that fetches YouTube video transcripts and optionally summarizes them. Supports multiple transcript formats (text, JSON, SRT, WebVTT), multi-language retrieval, and flexible YouTube URL parsing.

Lets separate coding-agent sessions coordinate through a shared, role-addressed mailbox instead of a human relaying every message, over a single local SQLite file or a hosted server with many isolated channels. Messages can be sent as tracked obligations that stay open until one side resolves and the other confirms, alongside threads, full-text search, work statuses, and an append-only versioned pin system where protected changes require recorded agreement from every declared role.

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.

Provides content agents with structured search over editorial guidelines, visual templates, and past post outcomes, enabling auditable proposals that cite rule IDs.

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