"Tools or methods to search and analyze YouTube videos" matching MCP servers:

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.

A FastMCP server providing 25 tools for interacting with the YouTube Data API v3 and YouTube Analytics API. It enables comprehensive management of videos, channels, playlists, and comments, alongside retrieval of performance analytics.

Enables managing a YouTube channel from Claude by listing, searching, editing, and organizing videos and playlists while retrieving channel, video, and thumbnail insights.

Enables AI models to interact with YouTube content including video details, transcripts, channel information, playlists, and search functionality through the YouTube Data API.

Retrieves transcripts from YouTube videos with support for multiple languages, timestamp control, and language detection. Enables video content analysis, summarization, and quote extraction without manually downloading or watching videos.

A server that enables interaction with YouTube data through the Model Context Protocol, allowing users to search videos, retrieve detailed information about videos/channels, and fetch comments.

Enables interaction with YouTube through search and transcript extraction functionality. Allows searching for videos and retrieving full transcripts with timestamps for content analysis.

An MCP server that automates converting diverse content sources like WeChat articles, YouTube videos, and various document formats into AI-generated outputs such as podcasts and slide decks via Google NotebookLM. It integrates specialized tools for web scraping, OCR, and file transformation to facilitate seamless content generation through natural language.

A simple MCP server to manage YouTube playlists built in TypeScript.

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

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

An MCP server that provides utility tools for markdown processing, including ADF-to-markdown conversion, table formatting, and table of contents management.

A comprehensive MCP server integrating YouTube Data, Analytics, and Reporting APIs, providing 40 tools for channel management, analytics, video publishing, transcripts, SEO, and comments.

mcp using PyPDF2 to: • merge-pdfs • extract-pages • search-pdfs • merge-pdfs-ordered (merge in user spec. order) • find-related-pdfs (regex extracted text for related PDF files)

Allows Cursor AI to communicate with Figma for reading designs and modifying them programmatically through a Model Context Protocol integration.

This server allows AI language models to interact with YouTube content through a standardized interface, providing features such as video and channel information retrieval, transcript management, and playlist operations.

Word document reading and writing MCP implemented in Node.js

MCP server that connects AI agents to real YouTube channel analytics and SEO management via OAuth, enabling content strategy, metadata updates, and companion WordPress posts without leaving the agent.

A collection of simple, practical MCP servers that require zero configuration, enabling web search via DuckDuckGo (no API key needed) and management of Hexo blogs through AI.

Converts Markdown files to Atlassian Document Format and publishes them to Confluence, with support for rendering Mermaid diagrams as PNG attachments.