原型 · 预览版:收录官方注册中心里的全部服务器,每 30 分钟同步一次。评价和账户功能将在后续阶段推出。
PopNx MCP为使用 AI 的人准备的 MCP 服务器 · 用大白话讲清楚

FrameOS

作者:theSatvik版本 1.0.0i★ –i在云端运行
注册名称studio.frameos/frameos

安装

概览

作者提供的说明(英文原文)

Turn long videos into captioned, reframed short clips, thumbnails, and social posts.

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。

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。

安装

选择你使用的 AI 应用,然后复制设置。

安装之前

你需要

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 …”。

适用于网页版、桌面版和手机版 Claude:

  1. 打开 Settings → Connectors
  2. 点击 Add custom connector
  3. 粘贴下面的地址,然后点击 Add
  4. 如果要求登录,请登录作者的服务
SettingsConnectors1+ Add2https://…3
https://frameos.studio/mcp

在终端中运行这条命令

claude mcp add --transport http frameos https://frameos.studio/mcp

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": {
    "frameos": {
      "url": "https://frameos.studio/mcp"
    }
  }
}

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": {
    "frameos": {
      "type": "http",
      "url": "https://frameos.studio/mcp"
    }
  }
}

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。

ChatGPT 只能连接互联网上的服务器:

  1. 打开网页版 ChatGPT → Settings → Connectors (Apps)
  2. 点击 Create 或 Add(部分套餐需要先在 Advanced 中开启 Developer mode)
  3. 粘贴下面的地址,起个名字,然后保存
  4. 如果要求登录,请登录作者的服务
SettingsConnectors1+ Create2https://…3
https://frameos.studio/mcp

菜单名称可能因套餐和版本不同而略有差异。

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

我们还没有读取这个服务器的工具列表;我们会轮流检查各个端点。

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6日

  • ✓ 通过

    作者与仓库一致

    注册名称已通过域名 frameos.studio 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

  • … 尚未检查

    端点有响应

    尚未检查;我们会轮流检查各个端点

  • … 尚未检查

    使用 OAuth 登录

    尚未检查;我们会轮流检查各个端点

  • … 尚未检查

    工具描述中没有隐藏指令

    尚未检查;我们会在检查端点时读取工具列表

与“其他”中的其他服务器比较i

  • 星标数多于此分类中其他 32464 个服务器的 0%
  • 发布到注册中心的时间比此分类中其他 32464 个服务器的 78% 更新
  • 基础检查结果等于或优于此分类中其他 32464 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

FrameOS 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?

它在作者的云端运行。通过互联网连接,无需安装,但你发送的内容会经过作者的服务器。

它还在维护吗?

GitHub 仓库最后更新于–,最新版本(1.0.0)于10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。它通过 URL 连接,所以接受远程 MCP 服务器的应用也可以使用,例如开启开发者模式的 ChatGPT。

有什么可以替代它?

同一分类中有:Spec Driven Development, Remote Desktop Commander, yontu

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

Spec Driven Development

作者:formulahendry

MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.

在你的电脑上运行★ 440MIT14个月前更新
安装

Remote Desktop Commander

作者:desktop-commander

Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.

在云端运行★ 211昨天更新
安装

yontu

作者:senrecep

Türkçe yazı denetimi: TDK kuralları, yapay zekâ izleri, metin türüne göre üslup.

在你的电脑上运行今天更新
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。

FrameOS for AI agents

Turn your long videos into short clips by asking the AI agent you already use. Paste a podcast, stream, interview or webinar link into Claude, ChatGPT, Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI or Perplexity, and FrameOS finds the strongest moments, reframes them for your format, adds captions and hands you back a ranked list of clips. You stay in charge of what gets exported, captioned, thumbnailed and posted.

This repo holds the FrameOS plugin, skills and extension packages. They connect your agent to the hosted FrameOS connector (an MCP server at https://frameos.studio/mcp) and teach it how to use FrameOS well: when to check your credits, how long to wait for a render, which caption styles exist, and never to post anything without your go-ahead.

Status, 2026-10-26: the hosted connector is live, and every listed app except Devin can sign in. https://frameos.studio/mcp is up. Claude Code, Claude (web, Desktop, mobile), ChatGPT, Codex, Cursor and VS Code with GitHub Copilot are tested end to end against a real account; Gemini CLI, Perplexity and the Copilot CLI can sign in but are not tested end to end yet (beta). Devin (including Windsurf) is coming soon: it can't sign in yet. See docs/status.md for what is left, and try the whole workflow against the mock server without spending credits.

What you can say to your agent

You don't need to learn any commands. Talk to your agent the way you'd brief an editor:

  • "Turn this episode into 5 vertical shorts for TikTok: https://youtube.com/watch?v=..."
  • "Make 3 square clips for LinkedIn from this interview, focusing on what we say about pricing."
  • "Show me my clips from yesterday's stream, best first."
  • "Make the captions on clip 2 bigger, move them up a bit and use the Beasty style. Then give me the MP4."
  • "Where in last week's podcast do we talk about hiring? Give me quotes with timestamps."
  • "Make 2 YouTube thumbnails for my best clip."
  • "Write an Instagram caption for that clip." Then, when you're happy: "Post it to my Instagram."
  • "Turn this webinar into a week of content: 5 clips, captions, thumbnails and copy for YouTube and LinkedIn."
  • "How many FrameOS credits do I have left, and what did I spend them on this month?"

More ready-to-use prompts, grouped by job, are in docs/workflows.md.

What happens when you ask for clips
  1. Your agent checks you're signed in and have credits.
  2. It sends the link (or uploads your file, if your agent can run commands) to FrameOS with your settings: how many clips, which format, and what to focus on.
  3. A render usually takes 10 to 30 minutes. Your agent tells you roughly how long and checks back on its own, or, in chat apps that can't wait, tells you to ask "check my FrameOS render" later.
  4. You get a ranked list: title or hook, length, score, where it sits in the original video, and a preview link.
  5. You pick what happens next: restyle captions, export MP4s, make thumbnails, draft copy, or post.
How credits work
  • It works on every FrameOS plan. All you need is credits.
  • A render costs 1 credit per started minute of source video, and you're only charged when clips are delivered.
  • Thumbnails cost 10 credits each.
  • Exports, caption changes, copy drafts, collections and posting are free.
  • A render only starts when your balance covers the whole video, so you never end up with a half-paid render.
  • Up to 3 videos can be processing at once in a workspace. Your agent queues the rest and submits them as renders finish.
  • The server enforces both of these rules (live since 2026-10-06), and the skills follow them too.
  • Ask your agent "What is my FrameOS credit balance?" any time. Plans and prices live on https://frameos.studio/pricing; your agent won't quote them.

Install

Pick your app. Each guide has the exact steps, how to check it worked, how to sign in again, and known limits. Claude Code, Claude (web, Desktop, mobile), ChatGPT, Codex, Cursor and VS Code are tested end to end; Gemini CLI and Perplexity (since 2026-10-08) and the Copilot CLI (since 2026-10-23) can sign in but are not tested end to end yet; Devin is coming soon (status).

Where you use AIQuickest pathFull guide
Claude Codeclaude mcp add --transport http -s user frameos https://frameos.studio/mcp then claude mcp login frameos (tested). Or, with the skills: claude plugin marketplace add theSatvik/frameos-plugins then claude plugin install frameos@frameos (signing in through the plugin's own connection is not tested yet)docs/install/claude-code.md
Claude.ai, Claude Desktop, CoworkAdd a custom connector with https://frameos.studio/mcp (tested). Or, with the skills: Customize > Plugins > Add > Add marketplace, enter theSatvik/frameos-plugins (not tested yet)docs/install/claude-ai.md
Codexcodex plugin marketplace add theSatvik/frameos-plugins then codex plugin add frameos@frameosdocs/install/codex.md
ChatGPTTurn on developer mode, then add https://frameos.studio/mcp under ChatGPT Pluginsdocs/install/chatgpt.md
CursorOne-click install link (tested), or the plugin as a local plugindocs/install/cursor.md
Gemini CLIgemini extensions install https://github.com/theSatvik/frameos-pluginsdocs/install/gemini-cli.md
VS Code and GitHub CopilotVS Code: add https://frameos.studio/mcp to your mcp.json (tested), or Chat: Install Plugin From Source. Copilot CLI (1.0.83 or newer): copilot mcp add --transport http frameos https://frameos.studio/mcp, then /mcp auth frameos (not tested end to end yet)docs/install/vscode-copilot.md
PerplexityAccount settings > Connectors > + Custom connector > Remote with https://frameos.studio/mcpdocs/install/perplexity.md
Devin and Windsurf (now Devin Desktop)Coming soon: Devin can't sign in to FrameOS yet. Email support@frameos.studio to hear when it candocs/install/devin-windsurf.md
Any other agentnpx skills add theSatvik/frameos-plugins, plus the connector URL https://frameos.studio/mcpdocs/install/other-agents.md

Check it worked. In a new conversation, ask: "What is my FrameOS credit balance?" You should get your workspace name and a credit number. A "connected" badge on its own isn't proof; only a real answer is.

Let your agent do the install. Agents that can run commands (Claude Code, Codex, Gemini CLI and similar) can install FrameOS for you. Paste this:

Install FrameOS by following https://github.com/theSatvik/frameos-plugins/blob/main/docs/install-protocol.md

What it can and can't do

Your agent can:

  • Clip a video from a link - YouTube, Vimeo, Twitch, Kick, public Google Drive files or a direct video file URL - or from a file on your computer when your agent can run commands. Sources need to be at least 30 seconds long.
  • Make up to 20 clips per video (3 by default). The number is a maximum, so you may get fewer.
  • Frame clips as 9:16 (Shorts, Reels, TikTok), 4:5 or 3:4 (feeds), 1:1 (square) or 16:9 (landscape).
  • Steer clipping toward a topic. Use the words the speaker actually says ("pricing", "hiring"), because the focus is matched on words; it's a preference, not a filter.
  • Restyle captions with 22 caption styles (or none), 16 fonts, size, position and 17 animations, then export a captioned MP4. Download links last about an hour, and your agent fetches fresh ones when needed.
  • Search the full transcript of videos processed since the connector launched (older projects may only have per-clip transcripts) and pull quotes with timestamps.
  • Make up to 3 thumbnails per request from real frames of your video with text layout (not AI-generated images).
  • Draft a title, caption and hashtags for YouTube, Instagram, Facebook, LinkedIn, TikTok or X.
  • Post to YouTube (Shorts), a Facebook Page, an Instagram Business account (Reels) or a LinkedIn personal profile that you connected in FrameOS - only after you confirm each post.
  • Organise clips into collections, duplicate clips to experiment, and show your credit usage for the last 30 days.

Not available through your agent (use the FrameOS web app at https://frameos.studio/dashboard, or it's not available yet):

  • Scheduling posts, share links, censoring or bleeping, dubbing, or free-form timeline edits.
  • Choosing the clip length, or rendering a whole video without clipping.
  • Cancelling a render that has started.
  • Posting to TikTok or X (your agent can still write the copy).
  • Connecting social accounts or uploading a brand logo (both are done once, in the web app).
  • Renaming or deleting collections, or removing a clip from one.

Clips made on the free plan carry a FrameOS watermark.

What this plugin sends

  • Two addresses, nothing else. Once installed, the plugin points your app at the FrameOS connector, https://frameos.studio/mcp, and at FrameOS sign-in, https://clerk.frameos.studio, which you see once when you connect your account. Upload and download links that the connector hands back (for a file you ask your agent to upload, or a finished MP4) point at FrameOS's own file storage and expire.
  • No code of its own. The plugin is written instructions (skills and Gemini CLI commands) and connection settings, with no hooks and nothing that runs when you install or use it. Your AI app makes every request. The repo's dev/, scripts/, tests/ and evals/ folders are maintainer tooling (a local mock server that runs only when you start it and calls nothing outside your machine, plus checks and tests); the plugin never runs them. In apps that can run commands, the skills may have your agent check and upload a video file you picked, wait between render checks, save an MP4 you asked for, or run your app's install steps when you ask it to set FrameOS up.
  • No tracking. No analytics or telemetry. The only extra detail the plugin adds is its version number, sent as an X-FrameOS-Plugin-Version header in apps that support it.
  • Nothing goes public without you. The skills ask you to confirm every post, every time, before anything is published.

What FrameOS does with your videos and account is in the privacy policy and the terms. Questions: support@frameos.studio.

Try it without credits (mock server)

The repo ships a local mock FrameOS server with the same 27 tools and inputs as the real one, and errors in the same format. It needs no account, no sign-in and no credits, so you can watch the whole flow - submit, poll, clips, captions, export, thumbnails, copy and a fake post - without touching a real account.

git clone https://github.com/theSatvik/frameos-plugins

cd frameos-plugins uv run --script dev/mock_server.py # stdio uv run --script dev/mock_server.py --http --port 8790 # Streamable HTTP at http://127.0.0.1:8790/mcp claude --plugin-dir . --mcp-config dev/mock.mcp.json --strict-mcp-config # Claude Code: these skills + the mock only

Mock links point at mock.frameos.invalid, so nothing real is created. dev/README.md has the full walkthrough and the inputs that trigger each error.

Packages in this repo

The repo root is the plugin. One set of skills serves every host; each host reads its own manifest.

File or folderWhat it isRead by

| skills/ | The eight skills: frameos-setup, frameos-clip, [frameos-captions](skills/frameos-caption

只显示了开头部分;其余内容请在仓库中阅读

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