Kinocut

Name: Kinocut
Author: KyaniteLabs

作者：KyaniteLabs版本 1.16.5i★ –i在你的电脑上运行

注册名称tech.kyanitelabs/kinocut

安装

概览

作者提供的说明（英文原文）

Guardrailed video editing for AI agents: FFmpeg, captions, effects, Hyperframes, and receipts.

PopNx MCP 的三大支柱

这三项永远不会合并成一个分数：意见、测量和人气是不同的东西。

用户评价i暂无评价评价功能将在后续阶段与账户功能一起开放
我们的基础检查i1 项中通过 1 项依据公开信息检查；尚未扫描代码
使用情况i尚未统计★ –

它能帮你做什么

我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。

连接方式: 在你的电脑上运行
传输方式: stdio
分类: 设计、图片与音频

安装

选择你使用的 AI 应用，然后复制设置。

安装之前

基础检查：1 项中通过 1 项
在你的电脑上运行，拥有你的用户账户的权限（文件、网络、应用）。
注册中心没有列出需要填写的密钥。

你需要

PyPI已安装 Python 的 uv（用于 uvx 命令）

你用的是哪个应用？

ClaudeClaude CodeCursorVS CodeChatGPT

在上方选择你的应用。我们会记住它，下次按钮会显示“安装到 …”。

打开 Claude Desktop → Settings → Developer → Edit Config，把下面的内容粘贴到 claude_desktop_config.json

{
  "mcpServers": {
    "kinocut": {
      "command": "uvx",
      "args": [
        "kinocut"
      ]
    }
  }
}

在终端中运行这条命令

claude mcp add kinocut -- uvx kinocut

在 Cursor 中打开

或者自己复制设置

粘贴到项目中的 .cursor/mcp.json，或 ~/.cursor/mcp.json

{
  "mcpServers": {
    "kinocut": {
      "command": "uvx",
      "args": [
        "kinocut"
      ]
    }
  }
}

浏览器会先询问是否打开应用，然后应用会显示设置并请你确认。密钥的值会留空，由你自己填写。

在 VS Code 中打开

或者自己复制设置

粘贴到项目中的 .vscode/mcp.json

{
  "servers": {
    "kinocut": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "kinocut"
      ]
    }
  }
}

浏览器会先询问是否打开应用，然后应用会显示设置并请你确认。密钥的值会留空，由你自己填写。

这个服务器在你的电脑上运行，而 ChatGPT 只能连接互联网上的服务器。请选择其他应用。

你的选择通过 Cookie 保存在这台设备上，无需账户。

这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同，请以 README 为准。

它能做什么

它在你的电脑上运行；安装后，工具列表会显示在你的 AI 应用中。

基础检查i

我们检查的是任何人都能看到的信息；我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月7日

✓ 通过
作者与仓库一致
注册名称已通过域名 kyanitelabs.tech 验证（注册中心会核实域名所有权）
… 尚未检查
仍在维护
我们还没有从 GitHub 读取这个仓库
… 尚未检查
有许可证
我们还没有从 GitHub 读取这个仓库
– 不适用
端点有响应
它在你的电脑上运行，没有互联网端点
– 不适用
使用 OAuth 登录
在你的电脑上运行，改用本地设置
… 尚未检查
工具描述中没有隐藏指令
它在你的电脑上运行；我们只能读取互联网端点的工具列表

与“设计、图片与音频”中的其他服务器比较i

星标数多于此分类中其他 2753 个服务器的 0%
发布到注册中心的时间比此分类中其他 2753 个服务器的 75% 更新
基础检查结果等于或优于此分类中其他 2753 个服务器的 100%

与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时，星标数才计入。

常见问题

Kinocut 安全吗？

它在 1 项适用的基础检查中通过了 1 项。我们没有阅读代码。在添加密钥或令牌之前，请先看看这个服务器要求哪些权限，并使用只具备所需权限的密钥。

它需要哪些密钥或代码？

注册中心没有列出必需的密钥，不过有些服务器会在首次使用时要求你登录。

它在我的电脑上运行还是在云端？

它在你的电脑上运行。你的 AI 应用会在需要时启动它，数据不会经过作者的服务器（除非它自己调用在线服务）。

它还在维护吗？

GitHub 仓库最后更新于–，最新版本（1.16.5）于11天前进入注册中心。

哪些应用可以使用它？

支持 MCP 的应用，例如 Claude Desktop、Claude Code、Cursor 和 VS Code。你的电脑上还需要有 Python (uv)。

有什么可以替代它？

同一分类中有：Figma Context MCP, Claude Real Video, Figma MCP Server

替代选择

同一分类中其他作者的服务器，按星标数排序。

如何看卡片：★ GitHub 星标i三大支柱：评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i

Figma Context MCP

作者：GLips

Give your coding agent access to your Figma data. Implement designs in any framework in one-shot.

在你的电脑上运行★ 16,165MIT5个月前更新

安装

Claude Real Video

作者：HUANGCHIHHUNGLeo

Let any LLM watch a video locally — and search everything it has ever watched.

在你的电脑上运行★ 2,284MIT2个月前更新

安装

Figma MCP Server

作者：figma

The Figma MCP server brings Figma design context directly into your AI workflow.

在云端运行★ 2,15213个月前更新

安装

作者的 README

打开 README

按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。

Kinocut

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 • 1.16.5 • 1.16.4 • 1.16.3 • 1.16.2 • 1.16.1 • 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.

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)](https://modelcontextprotocol.io/) 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) · Forgejo (downstream mirror)
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.

Producer Stack

Kinocut is a producer stack: inspect the source, choose a typed operation, render locally, receive a compact provenance receipt, run quality checks, and request human release approval. The default MCP surface keeps that path small; search_tools and profiles expand it when needed.

Eyes-free design law

Every flow must be describable, reportable, and approvable in words. Receipts stay one-screen text cards with artifact paths, stage status, warnings, and the next gate. Errors end with the exact MCP and CLI retry invocation; no visual-only affordance is required.

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:

from kinocut import Client

video = Client()

clip = video.trim("interview.mp4", start="00:02:15", duration="00:00:45") video.ai_transcribe(clip.output_path, output_srt="captions.srt") captioned = video.subtitles(clip.output_path, subtitle_file="captions.srt") short = video.resize(captioned.output_path, aspect_ratio="9:16") video.release_checkpoint(short.output_path) # thumbnail + quality gate before you publish

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	[1.16.5](https://pypi.org/project/kinocut/1.16.5/) (2026-10-27)	Last recorded publication checkpoint; consult the registries for the latest version. Install with `pip install kinocut`.
GitHub latest release / MCP Registry	1.16.5	GitHub release `v1.16.5` and the official MCP Registry (`tech.kyanitelabs/kinocut`, local `uvx kinocut` stdio package) report 1.16.5 (verified 2026-10-27). Final owner acceptance and fleet rollout remain separate.
This source version	1.16.5 published · 20 default MCP / 205 full / 177 CLI	QoL pass: curated 20-tool default MCP list (`KINOCUT_TOOLS=all` restores the full 205-tool catalog), retry-aware errors, one-call shorts, lazy startup. Telemetry, network, and overwrite defaults remain unchanged. Published `mcp-video==1.6.20` pins this runtime; verification is recorded 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.

What's in 1.16.5

Published 2026-10-27: a curated 20-tool default MCP registration with KINOCUT_TOOLS=all restoring the full 205 MCP tools / 177 CLI commands; retry-aware eyes-free error payloads, the one-call video_shorts flow, the read-only video_doctor preflight and lazy startup. Opt-in exact probe reports decoded frame counts and raw rational frame rates. mcp-video==1.6.20 installs kinocut==1.16.5. Apache-2.0 §4(a): the license text now ships in the npm tarball and the mcp-video compatibility package. See the published release.

What's in 1.16.4

Published 2026-10-24: 203 MCP tools / 177 CLI commands; mcp-video==1.6.19 installs kinocut==1.16.4. Optional Kinocut model calls now default off. Use local frames with the host's chosen image model; the standalone legacy adapters require explicit permission and do not inherit Hermes routing. Local product configuration cannot activate the separate Anthropic QC worker.

Revideo and Hyperframes telemetry default off. Hyperframes previews require verified CLI 0.8.104 or 0.8.140 while telemetry is off; other preview versions and Docker renders require explicit operator consent. These controls are not a network sandbox. Existing overwrite and protected-path safeguards remain in place. See the vision and network policy and published release.

What's in 1.16.3

Published 2026-10-23: 203 MCP tools / 177 CLI commands; mcp-video==1.6.18 installs kinocut==1.16.3. Existing outputs require explicit boolean overwrite=true (CLI --overwrite). Existing non-media artifacts also require ownership by the same durable job, and agent configuration homes remain protected. Older receipts without ownership evidence fail closed.

Project creation checks completed destinations and symlink redirects. Python 3.14 MCP request context remains available. The plugin documents optional network paths, configures optional extras in its pinned server environment, and shows Hermes tool filtering. Use one writer per output. See the published release.

What's in 1.16.2

Published 2026-10-21: 203 MCP tools / 177 CLI commands; mcp-video==1.6.17 installs kinocut==1.16.2. create-from-images is now frame-exact, accepts rational frame rates such as 30000/1001 and a --list / list_file input, and enforces frame-rate and image-count bounds on every entry point. The official MCP Registry entry is republished as the local uvx kinocut stdio package. Thanks to @Beritwu for #616. See the published release.

What's in 1.16.1

Version 1.16.1 repairs macOS render cleanup and faststart publication, C2PA and model-cache staging, FFmpeg 8.1 filter discovery, and audio preservation in shader/upscale reconstruction. It retains 203 MCP tools / 177 CLI commands and pairs with mcp-video==1.6.16. See maintenance release notes for verification and remaining platform/model acceptance limits.

What's in

只显示了开头部分；其余内容请在仓库中阅读

Kinocut

概览

PopNx MCP 的三大支柱

它能帮你做什么

安装

安装之前

它能做什么

基础检查i

作者与仓库一致

仍在维护

有许可证

端点有响应

使用 OAuth 登录

工具描述中没有隐藏指令

与“设计、图片与音频”中的其他服务器比较i

常见问题

替代选择

Figma Context MCP

Claude Real Video

Figma MCP Server

作者的 README

Table of contents

What is Kinocut?

Producer Stack

Eyes-free design law

See It Work

Status and releases

What's in 1.16.5

What's in 1.16.4

What's in 1.16.3

What's in 1.16.2

What's in 1.16.1

What's in