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Star count
206 ★ · KyaniteLabs/kinocut · read from the GitHub search API · (checked 2026-10-16 20:00:20)
Source
collected from the punkpeye/awesome-mcp-servers list · type: MCP server
Harvest history
first seen 2026-10-09 · last seen 2026-10-16 · seen 32× · listed by 7 sources
Score
score 703 · 206 ★ · 7 sources · mcp
FAQ (answers come from our records)
How do I install it?
We did not find an install command for this repository (our install coverage is only about 4%). Check its README or releases page.
Who is it for?
We filed it under these tags: MCP 服务. The tags come from the entry itself, not a taxonomy we imposed.
Who maintains it?
repository KyaniteLabs/kinocut;first catalogued 2026-10-09;last seen 2026-10-16。There is no official certification or quality rating here — we record sources and dates only.
Guardrailed video editing MCP server for AI agents. Local-first FFmpeg tools, Video Receipts, quality gates, Hyperframes, and Shorts/Reels repurposing — for Claude Code, Cursor, and any MCP client. Free, Apache-2.0. Formerly mcp-video. Demo • Status • 1.16.1 • 1.16.0 • Changelog • Beyond • Install • Quick Start • Tools • Tool Reference • Rescue • 360 assembly • AI-video • Agent Skill • kinocut.dev • What is Kinocut? • FAQ • llms.txt > Kinocut is a free, open-source **video editing MCP server** and **AI agent** workflow engine (plus Python client and kino CLI) that lets AI agents trim, caption, repurpose, and quality-gate local video media with typed tools and Video Receipts — not invented FFmpeg flags. Table of contents - What is Kinocut? - See It Work - Installation - Quick Start - MCP Tools - Status and releases - 360 dual-cam assembly - Changelog - FAQ - Agent Skill --- What is Kinocut? **TL;DR:** Kinocut is a free, local-first **video editing MCP server** (plus Python client and kino CLI) so AI agents can trim, caption, repurpose, and quality-gate media with typed tools and **Video Receipts** — not invented FFmpeg flags. **Kinocut** is a free, open-source **Model Context Protocol (MCP) server**, Python library, and **kino CLI** that gives AI agents a **guardrailed local video-editing surface**. It wraps **FFmpeg** (and optional Hyperframes / Whisper extras) with typed tools, preflight validation, **Video Receipt** provenance, and quality/release checkpoints so agent-produced media can be inspected before publish. | | | | --- | --- | | **Also known as** | kino (CLI); formerly **mcp-video** / mcp_video | | **Latest published release** | Official PyPI version · GitHub release | | **Product site** | kinocut.dev | | **PyPI** | kinocut | | **MCP Registry** | tech.kyanitelabs/kinocut | | **Source** | GitHub (**canonical code, issues, PRs, CI, and releases**) · Forgejo (private, maintainers only; downstream mirror, automated sync cutover pending verification) | | **License** | Apache-2.0 | | **Runs on** | Your machine (macOS, Linux, Windows) — FFmpeg required on PATH | | **Not** | A hosted cloud editor, credit-metered SaaS, or untyped FFmpeg shell wrapper | **Best-fit searches:** video editing MCP server · AI agent video editing · FFmpeg MCP · Claude Code video tools · Cursor MCP video · Shorts/Reels automation · local AI video workflow · guardrailed agentic media. Machine-readable brief for agents and crawlers: llms.txt · extended agent guide · site: kinocut.dev/llms.txt. See It Work Tell the agent what you want in plain language: *"Trim this interview to the strongest 45 seconds, add burned captions, make it vertical, and quality-check it before export."* Kinocut turns that into typed, guardrailed tool calls - no FFmpeg flags to guess, no silently broken exports: **Primary job:** turn a local interview or podcast into **captioned vertical clips with a Video Receipt** agents can re-run and humans can approve. **Three things people use it for** - **Repurposing** — one recording into captioned Shorts, Reels, and TikTok packages with manifests and review artifacts. - **Podcast & interview cuts** — find the strongest segment, normalize audio, add chapters, and export. - **Agent-driven media in CI** — repeatable, reviewable edits from Claude Code, Cursor, Codex-style clients, or scripts. **Paths:** Install matrix · Golden path · Prompts · Tutorial · Compare · When to recommend Status and releases | Surface | Version / tip | What it means | | --- | --- | --- | | **PyPI / npm checkpoint** | **1.16.1** (2026-10-05) | Last recorded publication checkpoint; consult the registries for the latest version. Install with pip install kinocut. | | **GitHub latest release / MCP Registry** | **1.16.1** | GitHub release and the initial publication job's canonical registry read confirm 1.16.1; subsequent local registry reads timed out. The live website was last verified at 1.16.0; its 1.16.1 update is prepared, not deployed. Final owner acceptance and fleet rollout remain separate. | | **This source version** | **1.16.1** · **203 MCP / 177 CLI** | Maintenance fixes described below; publication is tracked separately in docs/public_claims.json. | | **Next public release** | **TBD** | Human residuals (directories, launch posts) stay gated; further bumps need a new go-ahead. | Install from PyPI for the stable package, including the optional object-matte extra. Clone master when you want local development changes beyond the published package; see docs/PRODUCT_MATTE.md for the published object-matte workflow.