ZBS Index What actually exists in applied AI, with the source next to it

mcp server

Ssemble AI Clipping

Create AI-powered short-form video clips from YouTube videos. Supports webhook callbacks.

Description as published by the maintainer. Source

  • version 1.1.3
  • slowing
  • workflow automation

slowing — Most recent push to the repository was 2026-04-01. Dashed tags are derived by ZBS Index from the published description, not stated by the maintainer.

Signals

These are separate measurements of different things. They are deliberately not combined into one score, because a popularity number that mixes website traffic with saves and stars cannot be checked or acted on.

Signal Value What it measures Window Observed Source
GitHub stars 4 Number of GitHub accounts that bookmarked this repository since it was created. It is a bookmark count, not installs, not active users and not quality. cumulative, all time GitHub
Last commit 2026-04-01 Date of the most recent push to any branch. This is the strongest cheap indicator of whether the project is still maintained. point in time GitHub
Open issues 1 Open issues plus open pull requests, as GitHub counts them together. A high number can mean an active project or an abandoned one. as of fetch GitHub
Package downloads 116 downloads Package downloads from the npm registry in this window. Includes continuous integration runs, mirrors and automated installs, so it overstates the number of human users. 2026-07-30 to 2026-08-05 npm
Latest published version 1.1.3 Latest version string the maintainer published to the registry. as of fetch Model Context Protocol
Registry record last updated 2026-04-13 When the registry record was last updated by its maintainer. point in time Model Context Protocol
License MIT Licence GitHub detected in the repository. Detection can be wrong; the LICENSE file is authoritative. as of fetch GitHub
First listed in the MCP Registry 2026-04-13 Date this server was first published to the official MCP Registry. Not a usage or quality measure. point in time Model Context Protocol
repository status active The repository exists on GitHub and is not archived. This says nothing about how recently it was worked on. as of fetch GitHub

Where to get it

Related, by what their authors tagged them

  • app.uploadcheck/uploadcheck — last commit 2026-07-23, shares video, youtube
    QC videos, podcasts, and clips before upload — timestamped flags with agent-ready repair prompts.
  • ai.posteverywhere/mcp — last commit 2026-07-24, shares tiktok, youtube
    Schedule and publish social posts to 11 platforms with media, campaigns, analytics and AI captions
  • com.transcriptmagic/transcript-magic — last commit 2026-05-04, shares tiktok, youtube
    Generate transcripts from YouTube, TikTok, Instagram, and Facebook videos.
  • Sync Socials — last commit 2026-08-04, shares tiktok, youtube
    Create, schedule and publish social posts to TikTok, Instagram, Facebook and YouTube.
  • com.ffmpeg-micro/mcp-server — last commit 2026-04-30, shares video
    MCP server for the FFmpeg Micro video transcoding API — create, monitor, download transcodes.
  • com.instavar/mcp-server — last commit 2026-07-30, shares video
    Drive Instavar Studio video jobs (create, render, approve, publish, metrics) with an API key.
  • com.mux/mcp — last commit 2026-08-05, shares video
    The official MCP Server for the Mux API
  • Rendobar — last commit 2026-08-06, shares video
    Transform video, audio and images, and generate media from prompts. FFmpeg, captions, models.
  • MCP Server for Binge-watch — last commit 2026-02-25, shares video
    MCP Server for Binge-watch / MoonTV / LunaTV. 一个用于追剧/追番的MCP服务器,为AI提供搜索影视播放地址的能力,并支持在小米等安卓电视/投影仪上直接播放
  • CometChat Docs — last commit 2026-07-20, shares video
    CometChat docs search + implementation bundles: add chat, voice, video & moderation to your app.

These share tags the maintainers applied themselves, such as video, youtube, tiktok. Common tags like "mcp" or "ai" are ignored for this: agreeing with six hundred other projects is not a similarity.

This is not a recommendation and not a test result. It is a map of what the authors said their work is about.

How the author describes it

Topics the maintainer set on GitHub: ai, ai-clipping, claude, cursor, instagram-reels, mcp, mcp-server, model-context-protocol, shorts, tiktok, video, youtube.

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Sources

  1. ssembleinc/ssemble-mcp-server on GitHub — GitHub, observed , trust tier 3.
  2. @ssemble/mcp-server download counts — npm, observed , trust tier 3.
  3. Official MCP Registry — Model Context Protocol, observed , trust tier 1.