Figma Context MCP
Give your coding agent access to your Figma data. Implement designs in any framework in one-shot.
作者提供的说明(英文原文)
Local video editing engine for agents: exact timelines, saved sessions, rendering and FFmpeg export.
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。
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。
选择你使用的 AI 应用,然后复制设置。
你用的是哪个应用?
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 …”。
链接指向作者自己的文件;我们不托管也不重新打包它。打开文件后,Claude Desktop 会进行安装。
在终端中运行这条命令
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。
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。
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
注册名称已通过 GitHub 账户 skulitom 验证,该账户拥有此仓库
我们还没有从 GitHub 读取这个仓库
我们还没有从 GitHub 读取这个仓库
它在你的电脑上运行,没有互联网端点
在你的电脑上运行,改用本地设置
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。
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。
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)。
GitHub 仓库最后更新于–,最新版本(0.4.0)于25天前进入注册中心。
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 MCPB。
同一分类中有:Figma Context MCP, Claude Real Video, Figma MCP Server
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
Give your coding agent access to your Figma data. Implement designs in any framework in one-shot.
Let any LLM watch a video locally — and search everything it has ever watched.
The Figma MCP server brings Figma design context directly into your AI workflow.
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。
Cutbolt is a local video editing engine for AI agents. Turn recorded footage into a finished edit: arrange shots, tighten dialogue, add captions and graphics, mix sound, and export. Every saved edit has a revision, so an agent can inspect changes, retry a request or undo a decision.
Use it through JSON commands, a Rust library or MCP over stdio. The engine runs on your machine, preserves source media, and needs no account or hosted service.
Eligible H.264 and HEVC footage can be edited directly. Other supported sources prepare automatically during queued export. Titles, graphics and captions can remain editable scene recipes on the timeline. Optional speech recognition and media workers run locally with separately installed dependencies.
Cutbolt is in development. Windows and Linux are the current verification platforms. Every install needs FFmpeg and ffprobe on PATH, or CUTBOLT_FFMPEG and CUTBOLT_FFPROBE set to them; Cutbolt bundles neither.
Prebuilt (early release): the latest release has the CLI for Windows x64, Linux x64 and macOS ARM64 (macOS is not a verification platform: background jobs, which MCP exports go through, need Windows or Linux, and Windows-only engine features stay Windows-only), and cutbolt-windows-x64.mcpb, an MCP bundle for Claude Desktop on Windows. Check downloads against SHA256SUMS. Cutbolt is in the official MCP Registry as io.github.skulitom/cutbolt.
From source, with Rust and a C build toolchain, in this repository's checkout:
cargo install --path . --locked
cutbolt --version cutbolt doctor
Create a separate workspace for your footage and outputs, then configure your agent's MCP client to launch:
cutbolt --workspace /absolute/path/to/workspace mcp
Replace the path with your workspace directory; on Windows, use a path such as C:\Videos\MyProject. The default MCP catalog is compact, with detailed commands available on demand.
See installation and client setup for prerequisites, configuration and the optional Claude Code plugin. The plugin includes recipes for recuts, tutorials, multicam editing, captions and delivery. Other agents can start with llms.txt.
To use the Claude Code plugin instead of configuring the client by hand, add it from GitHub:
claude plugin marketplace add skulitom/Cutbolt
claude plugin install cutbolt@cutbolt-local
Then restart Claude Code in your footage workspace. The plugin starts cutbolt from PATH and installs nothing itself. Its recipes follow main, which can be ahead of the prebuilt release, so install the CLI from source for the plugin: as above, or with cargo install --git https://github.com/skulitom/Cutbolt --locked.
Once connected, try a request such as:
Inspect the footage in this workspace, trim the first clip to its opening ten seconds, and show me a preview. Save the edit so I can revise it later.
For direct CLI use, the usage guide describes JSON requests and saved projects. The agent interface covers revisions, retries, jobs and workspace boundaries.
Version 0.4.0 is an actively developed engine. Supported formats and operations have explicit limits; the timeline uses 8-bit SDR processing by default. See direct footage, clip effects, generated clips and export formats for the current contracts.
Verification checks decoded pictures, audio samples, timing and saved-edit behavior against independent expectations. Published evidence records the last full acceptance run; progress history records subsequent changes, targeted checks and open work. Agent workflow measurements and footage benchmark results describe the tested tasks and their limits.
See the development workflow, architecture and 1.0 roadmap for implementation and planning details.
Original project code is licensed under MIT. External dependencies retain their own licenses; tested versions and requirements are in the dependency ledger. Repository material and attribution rules are documented in research and publication boundaries.
Cutbolt is one of five free, MIT-licensed tools for agents by the same author. Each runs locally as an MCP server: