Advanced YouTube
MCP ServerFreeA Model Context Protocol (MCP) server for interacting with YouTube data. This server provides resources and tools to query YouTube videos, channels, comments, and transcripts through a stdio interface.
Capabilities4 decomposed
youtube video querying
Medium confidenceThis capability allows users to query YouTube videos using a standard input/output interface. It leverages the Model Context Protocol (MCP) to facilitate structured requests and responses, enabling efficient retrieval of video metadata such as titles, descriptions, and view counts. The server processes these queries in real-time, ensuring low latency and high responsiveness for users interacting with the YouTube API.
Utilizes a standardized MCP interface for seamless integration with YouTube, differentiating it from traditional REST API calls.
More efficient than direct API calls due to its structured query handling and reduced overhead.
youtube comments retrieval
Medium confidenceThis capability enables users to fetch comments for a specific YouTube video through the MCP interface. It processes requests to the YouTube API for comments, returning them in a structured format. The implementation ensures that pagination is handled effectively, allowing users to retrieve large sets of comments without overwhelming the client application.
Implements efficient pagination and batching strategies for comments retrieval, which are not commonly found in standard API wrappers.
Handles large comment sets more gracefully than direct API calls, reducing client-side processing time.
youtube channel information retrieval
Medium confidenceThis capability allows users to retrieve detailed information about specific YouTube channels, including subscriber counts, channel descriptions, and video counts. It uses the MCP framework to structure requests and responses, ensuring that users can easily access channel data without needing to manage complex API interactions directly.
Offers a streamlined MCP-based approach for channel data retrieval, reducing the complexity of handling YouTube API responses.
More user-friendly than traditional API methods, allowing for quicker integration into applications.
youtube transcript fetching
Medium confidenceThis capability enables users to fetch transcripts for YouTube videos where available. It utilizes the MCP to send requests to the YouTube API, ensuring that the response includes the full transcript in a structured format. The implementation is designed to handle cases where transcripts may not be available, providing clear feedback to the user.
Incorporates error handling for unavailable transcripts, enhancing user experience compared to basic API calls.
Provides a more robust solution for transcript retrieval, with better error management than standard API wrappers.
Capabilities are decomposed by AI analysis. Each maps to specific user intents and improves with match feedback.
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Best For
- ✓developers building applications that need to integrate YouTube video data
- ✓data analysts looking to analyze user interactions on YouTube
- ✓developers building analytics tools for YouTube channel performance
- ✓content creators and researchers analyzing video content
Known Limitations
- ⚠Limited to public video data; private videos or restricted content cannot be accessed.
- ⚠Rate limits imposed by the YouTube API can restrict the number of comments fetched per request.
- ⚠Information is limited to public channel data; private channels are not accessible.
- ⚠Transcripts are only available for videos that have them enabled; not all videos will have transcripts.
Requirements
Input / Output
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Repository Details
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A Model Context Protocol (MCP) server for interacting with YouTube data. This server provides resources and tools to query YouTube videos, channels, comments, and transcripts through a stdio interface.
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