YouTube is a global video-sharing platform that allows users to upload, view, rate, share, and comment on videos. Founded in 2005, it has become one of the world's most popular websites, offering a diverse range of content from individual creators, publishers, and organizations.
Why this server?
Provides video overview content of the platform features through linked educational content
Why this server?
Allows retrieval of YouTube videos metrics from a Metricool account for content performance analysis.
Why this server?
Allows extraction of transcripts from YouTube videos with optional timestamps and language preferences
Why this server?
Features a video tutorial hosted on YouTube for setting up and using the DexPaprika MCP server
Why this server?
Includes a demonstration video hosted on YouTube showcasing the document conversion capabilities of the MCP server.
Why this server?
Supports processing and enhancing YouTube videos by adding customized subtitles, animations, and visual effects through ZapCap's API.
Why this server?
Retrieves transcripts from YouTube videos, allowing users to fetch transcripts in different languages from specified YouTube video URLs
Why this server?
Supports extracting structured video data including titles, authors, view counts, and URLs from YouTube search results
Why this server?
Extracts and processes YouTube video transcripts with support for single videos, bulk processing, and playlists. Provides transcript data in multiple formats (text, JSON, SRT) and supports multi-language extraction.
Why this server?
Allows searching YouTube content through the youtubeSearch focus mode
Why this server?
Generates summaries for YouTube videos, supporting both narrative and bullet-point formats with multi-language capabilities
Why this server?
Features YouTube integration for demonstration videos, with embedded video content showing the server's capabilities.
Why this server?
Extracts transcripts from YouTube videos using the YouTube API to enable content summarization and repurposing.
Why this server?
Allows saving YouTube content to Readwise Reader as a supported document category, enabling management and organization of YouTube videos alongside other reading materials.
Why this server?
Referenced in the demo section with timestamps linking to a YouTube demonstration video.
Why this server?
Supports interaction with YouTube, as demonstrated in showcases where the system is used to create short highlight videos using applications like CapCut.
Why this server?
Features a demo video on YouTube showcasing the APKTool MCP server's capabilities for reverse engineering Android applications.
Why this server?
Provides tutorial content for the tool through YouTube videos
Why this server?
Supports YouTube video creation workflows including automated editing, thumbnail generation, and format optimization for the platform
Why this server?
Converts YouTube videos to Markdown with transcripts
Why this server?
Mentioned as a platform where demo content is hosted, though not a direct integration with the MCP server's functionality
Why this server?
Enables retrieval of transcripts and subtitles from YouTube videos, supporting multiple video URL formats and language-specific transcript extraction.
Why this server?
References a tutorial video that demonstrates how to build and configure the MCP server.
Why this server?
Contains a demo video hosted on YouTube that demonstrates the Clay MCP functionality.
Why this server?
Enables retrieval of transcripts from YouTube videos with support for multiple languages, formatting options, and metadata extraction including video titles, timestamps, and automatic paragraph segmentation.
Why this server?
Analyzes YouTube videos using the Gemini Vision API to provide descriptions, answers to questions, summaries, and extraction of key moments with timestamps.
Why this server?
Referenced as hosting a demo video of the MCP wait timer functionality
Why this server?
Embeds a demo video from YouTube to showcase the MCP server's research capabilities.
Why this server?
Provides video tutorials and demonstrations showcasing how to set up and use the Desktop Commander effectively.
Why this server?
The MCP Server includes a video demonstration hosted on YouTube showing how to use the tool for exploring California real estate listing prices data.
Why this server?
Downloads subtitles from YouTube videos to provide context to Claude
Why this server?
Allows access to YouTube video content by fetching transcripts, translating them to different languages, generating subtitles in SRT or VTT format, creating summaries of video content, and searching for specific content within videos.
Why this server?
Provides a demo video hosted on YouTube showing the server's capabilities
Why this server?
Allows downloading closed captions from YouTube videos, which can be used for creating video summaries and analyzing video content
Why this server?
Converts YouTube videos to Markdown format, including extraction of video transcripts when available
Why this server?
Enables retrieval of transcripts from YouTube videos, supporting multiple URL formats, language-specific transcript retrieval, and providing detailed metadata in responses.
Why this server?
Links to demonstration videos showing how the Voyp MCP server works with Claude Desktop and Goose
Why this server?
Downloads subtitles from YouTube videos using yt-dlp to provide content to Claude
Why this server?
Can be used to read YouTube video transcripts aloud with customizable voice settings by integrating with a YouTube transcript MCP server to convert video transcripts to speech.
Why this server?
Allows installation of an MCP server that can interact with YouTube
Why this server?
Mentioned as a potential MCP server that can be installed via this installer
Why this server?
Referenced for tutorial content, with the README linking to demonstration videos explaining GenAIScript functionality.
Why this server?
Listed as a supported data source for integration through the CData JDBC Driver framework, specifically for YouTube Analytics.
Why this server?
Provides read-only access to YouTube Analytics data through SQL queries, enabling retrieval of channel performance metrics, video statistics, and audience insights from YouTube's analytics platform.
Why this server?
Enables read-only access to YouTube Analytics data through SQL interfaces.
Why this server?
Provides SQL interface to query YouTube Analytics data including video performance and audience metrics
Why this server?
Allows querying of YouTube Analytics data including video performance and channel metrics
Why this server?
Enables querying YouTube Analytics data sources by exposing them as relational SQL models that can be accessed through natural language queries.
Why this server?
Allows SQL-based access to YouTube Analytics data, providing queries against video performance metrics and channel statistics.
Why this server?
Allows querying of YouTube Analytics data including video performance, channel statistics, audience insights, and content metrics through SQL operations.
Why this server?
Provides access to YouTube analytics data including video performance, channel statistics, and engagement metrics through SQL queries.
Why this server?
Allows access to YouTube Analytics data including video performance, channel metrics, and audience insights through SQL queries
Why this server?
Provides access to YouTube Analytics data for video performance metrics and channel information
Why this server?
Allows access to YouTube video platform data and analytics through SQL queries
Why this server?
Enables SQL access to YouTube Analytics data including video metrics and channel statistics
Why this server?
Enables access to YouTube Analytics data including video performance metrics and channel information
Why this server?
Enables SQL access to YouTube Analytics data, including video performance, audience metrics, and engagement statistics.
Why this server?
Provides SQL query access to YouTube Analytics data including video performance and channel metrics.
Why this server?
Provides access to YouTube analytics data including video performance, channel metrics, and audience insights through SQL queries
Why this server?
Provides read-only access to YouTube analytics data and channel information through SQL queries
Why this server?
Provides querying of YouTube Analytics data through SQL interfaces.
Why this server?
Allows SQL-based access to YouTube Analytics data, enabling querying of video performance, channel metrics, and audience insights
Why this server?
Listed as a supported data source that can be connected to through the CData JDBC driver, specifically for YouTube Analytics.
Why this server?
Provides access to YouTube Analytics data including video performance, channel statistics, and audience insights
Why this server?
Provides SQL access to YouTube analytics and video platform data, enabling queries against videos, channels, and performance metrics.
Why this server?
Listed as a supported data source that can be queried through the MCP server (as YouTube Analytics).
Why this server?
Enables SQL queries against YouTube analytics data through CData's JDBC driver
Why this server?
Provides read-only access to YouTube Analytics data by exposing tables as relational SQL models, allowing retrieval of live data through simple MCP queries.
Why this server?
Provides read access to YouTube Analytics data including video performance, channel statistics, and content analytics.
Why this server?
Listed as a supported data source for YouTube Analytics that can be integrated with the MCP server for data access.
Why this server?
Provides access to YouTube analytics data including video performance and channel metrics.
Why this server?
Listed as a supported data source that can be connected to through the CData JDBC driver (via YouTube Analytics).
Why this server?
Provides read-only access to YouTube Analytics data through SQL queries, enabling retrieval of video performance metrics and channel statistics
Why this server?
Listed as a supported data source that can be integrated with the MCP server for querying YouTube Analytics data.
Why this server?
Listed as a supported data source for querying YouTube Analytics data.
Why this server?
Enables querying YouTube Analytics data through SQL interfaces.
Why this server?
Listed as a supported data source for integration, allowing access to YouTube Analytics data.
Why this server?
Provides read-only access to YouTube Analytics data through SQL models, allowing queries of YouTube Analytics data through natural language requests.
Why this server?
Listed as a supported data source that can be integrated with the MCP server for retrieving data.
Why this server?
Provides read-only SQL access to YouTube Analytics data, including video performance and channel metrics.
Why this server?
Allows SQL queries against YouTube Analytics data, providing access to channel and video performance metrics.
Why this server?
Provides read-only access to YouTube Analytics data through SQL queries, enabling retrieval of video performance and channel metrics
Why this server?
Allows querying YouTube Analytics data through SQL.
Why this server?
Provides access to YouTube Analytics data including video performance, channel metrics, and audience insights through SQL queries.
Why this server?
Listed as a supported data source for integration, enabling access to YouTube Analytics data through the CData JDBC Driver.
Why this server?
Enables querying YouTube Analytics data through SQL, allowing retrieval of video performance metrics through natural language questions.
Why this server?
Provides a video overview and tutorial on the MCP server's functionality
Why this server?
Provides tutorial videos for installation and usage of the FlyonUI MCP Server
Why this server?
Integrates with YouTube Data API v3 for video-related features of the Quranic Etymology Explorer
Why this server?
References Web Dev Simplified YouTube channel as the source of learning material for the MCP implementation, though does not appear to provide direct YouTube API integration.
Why this server?
Features a tutorial video demonstrating how to set up and use the MCP server with CoinGecko API.
Why this server?
Provides integration with YouTube, enabling interaction with YouTube data and functionality.
Why this server?
Enables AI language models to interact with YouTube content, including getting video details, retrieving transcripts, managing channels, searching videos, and accessing playlist information
Why this server?
Provides tools for interacting with YouTube, including video searching, transcript extraction, comment retrieval, related video discovery, trending video lists, channel information retrieval, and transcript analysis with filtering and summarization capabilities.
Why this server?
Provides SQL interface for YouTube Analytics data.
Why this server?
Enables querying of YouTube Analytics data through relational SQL models.
Why this server?
Enables SQL-based access to YouTube Analytics data, including video performance and engagement metrics.
Why this server?
Listed as a supported data source that can be accessed through the CData JDBC driver integration.
Why this server?
Allows retrieval of SAS Data Sets containing YouTube Analytics data via SQL queries.
Why this server?
Listed as a supported data source for integration through the CData JDBC driver, specifically for YouTube Analytics.
Why this server?
Listed as a supported data source in the compatibility table, enabling access to YouTube Analytics data.
Why this server?
Enables read-only access to YouTube Analytics data.
Why this server?
Provides SQL access to YouTube Analytics data.
Why this server?
Allows access to YouTube Analytics data including video performance and channel metrics.
Why this server?
Enables access to YouTube Analytics data through SQL queries.
Why this server?
Allows reading YouTube Analytics data through SQL queries.
Why this server?
Allows querying YouTube Analytics data by representing it as relational tables, supporting table discovery, column information retrieval, and SQL query execution.
Why this server?
Enables querying YouTube Analytics data through SQL.
Why this server?
Provides SQL access to YouTube Analytics data including views, watch time, and engagement metrics
Why this server?
Enables querying and retrieval of YouTube Analytics data through SQL-based tools for listing tables, retrieving column information, and executing SELECT queries.
Why this server?
Provides SQL access to YouTube Analytics data and video performance metrics.
Why this server?
Listed as a supported data source that can be connected to through the CData JDBC driver, enabling data querying capabilities via YouTube Analytics.
Why this server?
Listed as a supported data source for integration, allowing access to YouTube Analytics data through the MCP server.
Why this server?
Enables querying of YouTube Analytics data by exposing it as relational SQL models through the CData JDBC Driver.
Why this server?
Listed as a supported data source that can be accessed through the CData JDBC driver, allowing for data retrieval from YouTube Analytics.
Why this server?
Allows retrieval of YouTube Analytics data through SQL queries triggered by natural language questions.
Why this server?
Allows access to YouTube Analytics data by exposing it as relational SQL tables accessible through the MCP server.
Why this server?
Enables SQL-based access to YouTube Analytics data including views, subscribers, and engagement metrics.
Why this server?
Enables reading YouTube Analytics data through SQL interfaces, allowing natural language querying of video performance metrics.
Why this server?
Referenced as a learning resource with specific video content about MCP server implementation
Why this server?
Enables retrieval and analysis of YouTube search volume data for entities in demand reports.
Why this server?
Links to the OEvortex YouTube channel for updates and tutorials related to the MCP server.
Why this server?
Provides tutorial content for setting up and using the Quickchat AI MCP server
Why this server?
Allows querying YouTube data, including searching for videos, retrieving video and channel information, and fetching video comments through the YouTube Data API.
Why this server?
References a demo video hosted on YouTube that demonstrates the MCP server's functionality.
Why this server?
Offers video content analysis functionality by processing YouTube videos and providing summaries or answers to queries about video content
Why this server?
Provides tools for interacting with YouTube videos, including extracting video metadata, captions in multiple languages, and converting content to markdown with various templates. Supports search functionality within video captions and flexible authentication methods.
Why this server?
Enables extraction of transcripts from any public YouTube video, allowing AI assistants to analyze and work with YouTube video content directly.
Why this server?
Connects to the GBTI Network YouTube channel for video content and updates
Why this server?
Features embedded YouTube video demonstrations showcasing the approval system and dashboard functionality
Why this server?
Features demonstration content hosted on YouTube, accessible via an embedded demo video showing MCPX functionality.
Why this server?
Enables downloading YouTube videos through the MCP server integration.
Why this server?
The README includes a YouTube video thumbnail and link to help users get started with Wanaku, but it does not indicate that Wanaku provides specific integration with YouTube as a service.
Why this server?
Enables querying YouTube Analytics data including views, watch time, subscribers, and other video performance metrics through a SQL interface.
Why this server?
Provides access to YouTube Analytics data including views, engagement, and audience metrics.
Why this server?
Enables access to YouTube Analytics data by exposing it as relational SQL models through the CData JDBC driver.
Why this server?
Allows querying YouTube Analytics data including views, watch time, and audience metrics.
Why this server?
Enables access to YouTube Analytics data including video performance, channel metrics, and audience insights.
Why this server?
Provides read-only access to YouTube Analytics data, enabling queries of video performance, channel statistics, and content analytics.
Why this server?
Enables querying of YouTube Analytics data, including videos, channels, and performance metrics.
Why this server?
Allows access to YouTube Analytics data including video performance, channel metrics, and audience insights.
Why this server?
Provides read-only access to YouTube Analytics data for channel and video performance analysis
Why this server?
Allows access to YouTube Analytics data through SQL models.
Why this server?
Allows querying YouTube Analytics data through natural language questions rather than SQL.
Why this server?
Listed as a supported data source that can be accessed through the MCP server, providing access to YouTube Analytics data.
Why this server?
Enables read-only access to YouTube analytics data, allowing queries on video performance, channel statistics, and engagement metrics.
Why this server?
Provides read-only access to YouTube Analytics data through SQL queries, enabling retrieval of video performance and channel metrics.
Why this server?
Provides SQL access to YouTube Analytics data including video performance, audience metrics, and channel insights
Why this server?
Enables SQL-based access to YouTube Analytics data, providing queries on video performance, channel statistics, and content analytics
Why this server?
Listed as a supported data source that can be accessed through the MCP server interface, allowing retrieval of YouTube Analytics data through SQL queries.
Why this server?
Allows access to YouTube video platform analytics data through SQL queries, enabling retrieval of video metrics and channel information.
Why this server?
Allows SQL-like access to YouTube Analytics data including video performance, audience metrics, and revenue.
Why this server?
Enables SQL-based access to YouTube Analytics data, supporting querying of video performance and channel metrics.
Why this server?
Supports processing YouTube content with capabilities for transcription and analysis
Why this server?
Links to a demonstration video showcasing the MCP server's capabilities for Python dependency management.
Why this server?
Supports downloading videos from YouTube with various quality options, format selection, and metadata extraction.
Why this server?
Provides comprehensive access to YouTube resources, allowing manipulation of videos, playlists, channels, comments, captions, memberships, and more. Supports authentication with YouTube API and enables automation of YouTube workflows.
Why this server?
Supports analyzing and summarizing YouTube content, with the ability to extract information from video pages.
Why this server?
Allows downloading videos, audio content and subtitles from YouTube
Why this server?
Provides video transcript extraction from YouTube videos, allowing access to the spoken content of YouTube videos for analysis.
Why this server?
Enables downloading videos from YouTube for further editing and processing within the MCP server's workflow.
Why this server?
Extracts transcripts from YouTube videos in multiple languages, supporting both auto-generated and manually created captions, and allows listing available transcript options for a video.
Why this server?
Supports YouTube account management and video uploading with metadata configuration, content settings, and compliance options.
Why this server?
Demonstrated in examples where AI can analyze YouTube content and create visual summaries.
Why this server?
Allows linking podcast episodes to YouTube videos by providing a video_url parameter when creating or updating episodes.
Why this server?
Extracts data from YouTube videos including chapter information and subtitles for specific chapters or entire videos using yt-dlp
Why this server?
Mentioned as a demo platform where users can view an example of the MCP capabilities for browser automation.
Why this server?
Provides comprehensive access to YouTube data including video details, playlists, channels, comments, trending videos, and transcripts through the YouTube Data API v3. Enables searching, analyzing engagement metrics, and evaluating content with technology freshness scoring.
Why this server?
Allows searching YouTube for music videos and extracting detailed metadata including title, uploader, duration, view count, upload date, and description from videos.
Why this server?
Connects to the AI Agents A-Z YouTube channel that open-sourced the tool, providing tutorials and additional content related to the project.
Why this server?
Hosts demonstration videos showing the capabilities and usage of the Nexonco MCP server
Why this server?
Listed as a supported data source for integration through the CData JDBC Driver (as YouTube Analytics)
Why this server?
Provides SQL interface for accessing YouTube Analytics data.
Why this server?
Listed as a supported data source for integration with the MCP server, allowing access to YouTube Analytics data.
Why this server?
Allows querying YouTube Analytics data through SQL interfaces, providing access to video performance and channel metrics.
Why this server?
Allows querying YouTube Analytics data through SQL models.
Why this server?
Listed as a supported data source that can be accessed through CData JDBC Driver and exposed via the MCP server.
Why this server?
Enables querying and retrieving analytics data from YouTube channels.
Why this server?
Included in the list of supported sources for data retrieval through the MCP server (as YouTube Analytics).
Why this server?
Provides read-only access to YouTube Analytics data, allowing retrieval of video performance and audience metrics through natural language queries.
Why this server?
Provides access to YouTube Analytics data including video performance, audience metrics, and channel statistics.
Why this server?
Enables retrieving YouTube Analytics data, video statistics, and channel information through SQL.
Why this server?
Provides SQL-based access to YouTube Analytics data.
Why this server?
Provides video search functionality with support for filtering by duration, source, and upload time
Why this server?
Analyzes YouTube videos by extracting and transcribing audio, summarizing content, extracting key frames, and generating captions for comprehensive video analysis.
Why this server?
Enables read-only access to YouTube Analytics data, allowing queries for video performance, channel metrics, and audience statistics.
Why this server?
Provides search functionality to find and retrieve relevant YouTube video URLs which can then be displayed through SmartScreen
Why this server?
Enables fetching transcripts from YouTube videos to incorporate into Roam Research pages
Why this server?
Provides YouTube transcript retrieval capabilities as part of its research functionality
Why this server?
Makes transcripts of YouTube videos from a playlist available, allowing access to video content in text form
Why this server?
Downloads and extracts audio from YouTube videos for transcription to text, with support for authentication via cookies for restricted content.
Why this server?
Extracts transcripts from YouTube videos to be used for content generation, supporting multiple languages and retrieving video metadata like title and channel name.
Why this server?
Provides tools for searching YouTube videos, retrieving video transcripts, storing video information in a vector database, and performing semantic search over video content.
Why this server?
Allows access to a user's YouTube playlists to retrieve URLs of videos added to a specified playlist within a configurable timeframe
Why this server?
Provides tools to interact with the YouTube API, including searching for videos, retrieving video details, searching for channels, and obtaining channel information.
Why this server?
Embeds a demo video hosted on YouTube showing the MCP Tool Server's functionality.
Why this server?
Mentioned in the context of a demonstration video showing the MCP Web Search Tool in action for real-time AI browsing
Why this server?
Provides 'Crawl Text' functionality for YouTube Videos
Why this server?
Enables searching for YouTube videos using the YouTube Data API v3 with configurable parameters like query terms and maximum results
Why this server?
Features a demo video showcasing Voice Mode functionality that users can watch to understand how the voice interactions work.