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The watch-cli MCP server was last committed 1mo ago and has 1 contributor. Issue health: 0% of issues resolved. AgentRank freshness score reflects real-time maintenance activity.

watch-cli MCP Server

Name: sonpiaz/watch-cli
Rating: 2.9 (1 reviews)
Author: sonpiaz

sonpiaz/watch-cli

Score: 48.0 Rank #22274 MCP Server

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Gives a coding agent eyes and ears for any social video: timestamped frames plus a transcript, about 50x cheaper than sending the whole file to a multimodal API.

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Overview

sonpiaz/watch-cli is a Shell tool licensed under MIT. Gives a coding agent eyes and ears for any social video: timestamped frames plus a transcript, about 50x cheaper than sending the whole file to a multimodal API. Topics: ai-agents, claude-code, cli, mcp, transcription, video.

Ranked #22274 out of 24846 indexed tools.

Ecosystem

Shell MIT

ai-agentsclaude-codeclimcptranscriptionvideo

Score Breakdown

Stars 15% 253

253 stars → growing community

Freshness 25% 1mo ago

Last commit 1mo ago → moderate activity

Issue Health 25% 0%

0/1 issues closed → many open issues

Contributors 10% 1

1 contributor → solo project

Dependents 25% 0

No dependents → no downstream usage

npm Downloads N/A

PyPI Downloads N/A

Forks 68

Description Detailed

License MIT

Weights: Freshness 20% · Issue Health 20% · Dependents 22% · Stars 10% · Contributors 8% · How we score →

How to Improve

Freshness high impact

Last commit was 59 days ago — a recent commit would boost your freshness score

Issue Health high impact

You have 1 open vs 0 closed issues — triaging stale issues improves health

Contributors medium impact

Single-contributor projects carry bus-factor risk — welcoming contributors boosts confidence

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Details

Stars: 253
Forks: 68
Open Issues: 1
Closed Issues: 0
Contributors: 1
Dependents: —
Language: Shell
License: MIT
Last Commit: 1mo ago

Matched Queries

topic:mcp

From the README

# watch-cli

**Watch any social video → get an architecture diagram, working component, runnable notebook, or step-by-step cheat sheet — automatically.**

Eyes and ears for your AI agent. watch-cli composes `yt-dlp` + `ffmpeg` + a Whisper-class ASR into a single command that hands an agent the raw materials to "watch" any video: VIDEO + FRAMES + TRANSCRIPT, ready for an LLM to read frames as images and transcript as text.

```bash
watch https://twitter.com/anyone/status/12345
```

Works on YouTube, X, LinkedIn, TikTok, Reddit, Vimeo, and Facebook. Login-walled posts (LinkedIn, private X, FB) work with `WATCH_BROWSER=auto`, which reads cookies from a browser you are signed in to.

## What you can build

Hand the `watch` output to your agent with one of five prompts in [`prompts/`](prompts/):

| Drop in a video of… | Get back |
|---|---|
| A coding walkthrough | [Working project files](prompts/implement-from-video.md) |
| A system architecture talk | [Interactive architecture diagram](pr

Read full README on GitHub →