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Why this server?
Enables AI applications to integrate with YouTube-Summarizer's APIs through the MCP protocol, offering local tool-based interaction for summarizing YouTube content.
Why this server?
This server retrieves transcripts for given YouTube video URLs, enabling integration with Goose CLI or Goose Desktop for transcript extraction and processing.
Why this server?
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.
Why this server?
Uses yt-dlp to download subtitles from YouTube and connects it to claude.ai via Model Context Protocol.
Why this server?
A Model-Context Protocol Server for YouTube in Jp
Why this server?
A Model Context Protocol server that enables retrieval of transcripts from YouTube videos. This server provides direct access to video captions and subtitles through a simple interface.
Why this server?
Enables capturing screenshots of web pages and local HTML files through a simple MCP tool interface using Puppeteer with configurable options for dimensions and output paths. Could be useful for summarization tasks.
Why this server?
Provides functionality to fetch web content in various formats, including HTML, JSON, plain text, and Markdown. This can be used to fetch descriptions or other metadata associated with the youtube videos.
Why this server?
Enables retrieval and processing of web page content for LLMs by converting HTML to markdown, with support for content truncation and pagination. Can extract context from websites.
Why this server?
This server enables LLMs to retrieve and process content from web pages, converting HTML to markdown for easier consumption.