heygen-com/hyperframes
HyperFrames is an open-source framework that converts HTML, CSS, and media into deterministic MP4 videos, designed for AI agents and automated content creation workflows.
Awesome MCP › Media & Creativity
cottongeeks/ytt-mcp
ytt-mcp is a focused Python Model Context Protocol server whose single job is to fetch transcripts for YouTube videos and return them to an MCP client. Given a video URL, the server retrieves the transcript text so the connected language model can summarise, translate, extract quotes from or answer questions about the video without the user watching it or copying subtitles by hand. The project is deliberately narrow: it exposes the transcript retrieval capability and leaves the analysis to the client model and the prompt around it. Distribution and installation are handled with uv. The recommended route is to run the published package directly through uvx, which avoids a separate install step; the Claude Desktop configuration therefore reduces to an mcpServers entry with the command uvx and the single argument ytt-mcp, added through Settings, Developer, Edit Config, followed by a relaunch of the application. For development and debugging the README shows running the server under the MCP Inspector with the fastmcp dev command, which prints a localhost URL where the tools can be inspected and called by hand before wiring the server into a real client. Raycast users can install it through the Install Server command in the MCP extension, after which the server is addressed as an at-mention in prompts and can be used inside a Raycast AI command; the README includes a worked prompt that takes a YouTube URL from the clipboard, fetches the transcript through the server and formats a summary as three key takeaways followed by a theme-by-theme breakdown, with instructions to keep the author's point of view and add no outside information. It suits people who process a lot of video and want that material available to an assistant as text.
https://github.com/cottongeeks/ytt-mcp
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