Signal Garden

Skill 与 AgentSKILLS & AGENTS· MCP-SERVER

kinocut

KyaniteLabs/kinocut

Guardrailed video editing MCP server for AI agents. FFmpeg, Hyperframes, repurposing tools, Python client, and CLI. Local, fast, free.

根据公开文档整理,未运行实测;费用以项目官网为准。Based on public documentation, without runtime testing. Check the project site for pricing.

适用平台Platforms
cursor · claude-code · claude-desktop · windsurf · cline · gemini-cli
已识别的要求Documented requirements
Local runtime
许可LICENSE
Apache-2.0

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能力CAPABILITIES

它能帮你做成什么What it helps you do

上手GET STARTED

怎么装How to install

Homebrew
brew install ffmpeg

选择与你的环境对应的方式。命令来自项目文档,未运行实测。Choose the option for your environment. Commands come from project documentation and have not been run-tested.

打开项目文档Open project documentation ↗

使用限制LIMITATIONS

限制与风险Limits and risk

以下要求与风险来自文档静态检查,未执行项目代码;扫描没有命中,不代表使用安全。Risk here is evidence, not an alarm. These findings come from static scanning of the docs; we never execute a project’s code.

限制LIMITS

未知Unknown

01需要 API KeyREQUIRES API KEY
未在文档中发现Not found in the docs
02需要本地环境NEEDS LOCAL RUNTIME
是Yes
03需要 DockerNEEDS DOCKER
未在文档中发现Not found in the docs
04难度DIFFICULTY
需要本地环境Needs a local runtime
05许可LICENSE
Apache-2.0Apache-2.0
06阶段STAGE
持续活跃Active
创建于 21 MAR 2026Created 21 MAR 2026

静态扫描STATIC SCAN

在 README、SKILL.md 和依赖清单中没有匹配到已知风险模式。No known risk patterns matched in the README, SKILL.md or dependency list.

项目动态PROJECT ACTIVITY

它现在处在什么位置Where it stands right now

首次发现FIRST SEEN

11 OCT 202611 OCT 2026

增长GROWTH

+9.5%+9.5%

201 → 220 stars · 14 个快照201 → 220 stars · 14 snapshots

状态STATUS

持续活跃Active

PROVENANCE · 这些结论的依据是什么Where these conclusions come from
来源 URLSource URL
https://github.com/KyaniteLabs/kinocut
原始数据哈希Raw data hash
e86ec6adba4e01e7b8ffdefc9898e5e8
解析时间Parsed at
2026-10-24T23:50:30.107Z
最后一次验证Last verified
2026-10-24T22:13:05.655Z
增长测量时间Growth measured
2026-10-24T23:53:37.702Z
发现查询Discovery queries
focus:play:repo:video-editing
分类来源Category source
rules
焦点Focus
play · motion (9)
完整解析证据 JSONFull parse evidence JSON
{
  "agents": [
    {
      "agent": "cursor",
      "evidence": "tree: .cursorrules/"
    },
    {
      "agent": "claude-code",
      "evidence": "install: claude CLI command"
    },
    {
      "agent": "claude-desktop",
      "evidence": "readme: …kinocut kino doctor ``` For Claude Desktop-style MCPB installs, Kinocut…"
    },
    {
      "agent": "windsurf",
      "evidence": "readme: …server (Claude Code, Cursor, Windsurf, Cline, and similar). You can…"
    },
    {
      "agent": "cline",
      "evidence": "readme: …laude Code, Cursor, Windsurf, Cline, and similar). You can also u…"
    },
    {
      "agent": "gemini-cli",
      "evidence": "readme: …eg dependency advisories, and Gemini CLI setup examples. - Surface gro…"
    }
  ],
  "apiKey": null,
  "docker": null,
  "taxonomy": {
    "scores": {
      "design": 0,
      "ai-tools": 7,
      "dev-tools": 6,
      "indie-web": 0,
      "skill-agent": 17,
      "productivity": 0
    },
    "primary": "skill-agent",
    "secondary": "mcp-server"
  },
  "localRuntime": "source-audio preservation in GPU shader and Real-ESRGAN reconstruction;",
  "skillMdTotal": 5,
  "skillMdErrors": [
    {
      "path": "skills/mcp-video/SKILL.md",
      "error": "Nested mappings are not allowed in compact mappings at line 2, column 14:"
    }
  ],
  "treeTruncated": false,
  "categoryScores": {
    "data": 0,
    "agent": 0,
    "media": 15,
    "design": 0,
    "browser": 0,
    "devtool": 3,
    "security": 0,
    "marketing": 0,
    "productivity": 0
  },
  "classification": [
    {
      "signal": "4 SKILL.md with name + description",
      "weight": 0.95
    },
    {
      "signal": "server.json (MCP registry manifest)",
      "weight": 0.85
    },
    {
      "signal": "python dependency on mcp / fastmcp + MCP framing",
      "weight": 0.8
    },
    {
      "signal": "skills/ directory with 3 markdown files",
      "weight": 0.75
    },
    {
      "signal": "README describes a Claude / Agent Skill",
      "weight": 0.7
    },
    {
      "signal": "README ships an mcpServers config for this server",
      "weight": 0.7
    },
    {
      "signal": "MCP topic + README",
      "weight": 0.6
    },
    {
      "signal": "description mentions AI",
      "weight": 0.2
    }
  ],
  "scannedSources": [
    "readme",
    "plugins/kinocut/skills/kinocut-repurpose/SKILL.md",
    "plugins/kinocut/skills/kinocut/SKILL.md",
    "skills/kinocut-repurpose/SKILL.md",
    "skills/kinocut/SKILL.md",
    "skills/mcp-video/SKILL.md"
  ],
  "skillMdFetched": 5
}

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订阅即表示你同意我们按隐私政策发送每周一周刊。我们会记录这次订阅的来源页面和活动标签,这条记录不包含 IP 地址。Subscribing means you agree that we email the Monday weekly digest as described in the privacy policy. We record the referring page and campaign tag for the signup, and that record does not include an IP address. 隐私政策Privacy Policy

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