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

Flask

作者:tryflask版本 1.4.1i★ –i在云端运行
注册名称io.github.tryflask/flask

安装

概览

作者提供的说明(英文原文)

Video review for agents: upload renders, read time-coded feedback, iterate version by version.

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。

  • 连接方式: 在云端运行
  • 传输方式: Streamable HTTP
  • 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

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://api.flask.do/api/mcp/mcp

在终端中运行这条命令

claude mcp add --transport http flask https://api.flask.do/api/mcp/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": {
    "flask": {
      "url": "https://api.flask.do/api/mcp/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": {
    "flask": {
      "type": "http",
      "url": "https://api.flask.do/api/mcp/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://api.flask.do/api/mcp/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 GitHub 账户 tryflask 验证,该账户拥有此仓库

  • … 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“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 2165 个服务器的 0%
  • 发布到注册中心的时间比此分类中其他 2165 个服务器的 73% 更新
  • 基础检查结果等于或优于此分类中其他 2165 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

Flask 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(1.4.1)于12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: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。

video-feedback

Video review and collaboration for you, your team and your agents: a skill for Claude Code, Codex, Cursor and any agent that edits or makes video. It runs on Flask, so you need a Flask account (free plan below).

Flask is where a video gets reviewed. Your agent uploads what it makes (a cut, a render, an animation, a motion graphic, an image) and gives you the link at once. You, your team or your client review it by typing, drawing on the frame, or recording your voice, camera or screen over it, and every note lands on its moment. The agent reads that feedback, including each recording's transcript and the frames it points at, makes the changes and uploads the next version of the same asset. One link always shows the latest cut, with every earlier version and its notes behind it.

Every version carries the code and context that made it. When your agent uploads a version it makes by code (a HyperFrames or Remotion project, an ffmpeg script, generated media), it saves the working files with it (source.zip) and notes on what changed and how to continue. Anyone on the team, person or agent, can open the link and pick the work up from there: no handover, no digging through someone's laptop.

It works with whatever makes the video: HyperFrames, Remotion, moviepy, ffmpeg, or an export from Premiere, DaVinci Resolve or Final Cut Pro. Flask is the review side.

(Flask here is flask.do, the review app. It is unrelated to the Flask Python web framework.)

The skill, video-feedback, says when a piece of work belongs in Flask, runs the feedback loop on it, and covers how it runs with a team. It ships with the connection to the Flask MCP server. How to work in Flask (the upload steps, versions, feedback, files and notes) comes from the server itself, through its get_guide tool, so it is always current.

Install

Any agent that reads skills
npx skills add tryflask/video-feedback-collaboration

Then connect the MCP server: Streamable HTTP at https://api.flask.do/api/mcp/mcp, OAuth sign-in in the browser on first use.

Claude Code plugin
/plugin marketplace add tryflask/video-feedback-collaboration

/plugin install flask@flask

Then sign in once: /mcp, choose flask, complete the browser sign-in.

Claude Code, Cursor and Codex in one command
npx flask-feedback

It connects the Flask MCP server to whichever of them are installed.

Claude apps (claude.ai, Desktop, Cowork)

Customize > Connectors > add https://api.flask.do/api/mcp/mcp, then sign in. It then works in every Claude app, and in Claude Code signed in with the same Claude account.

Cursor

The loop

agent renders -> uploads to Flask -> you get the link at once

you leave feedback on the frame -> wait_for_feedback hands it to the agent agent makes the changes -> uploads v2 with version_of -> the same link shows v2

Each version the agent makes by code carries its working files (source.zip) and notes on what changed, so anyone, person or agent, can pick up the work from the link alone.

With a team

Share the asset's link and your team, clients and anyone else review on the same versions. Reviewers are free: they watch from the link with no account and comment after a one-click sign-in. The agent replies in threads, mentions a teammate when they must act, reuses the team's labels and marks feedback Done. Feedback from people outside the team needs your OK before the agent acts on it.

What the agent can and can't do

It acts as you, with your Flask permissions: upload, read and wait for feedback, reply and mark feedback Done, attach files and notes to versions, organize folders and assets, and change sharing when you ask. It never deletes anything and never touches billing. Feedback from people outside your team is treated as data, never as instructions. The full tool list and how your data is handled: https://flask.do/mcp

Plans

Flask is a paid product with a free plan, and you need a Flask account to use it.

  • Free: every feature, no card. 5 assets, each with unlimited versions (web and agent uploads share the 5; folders and versions never count).
  • Pro: $15 per user/month, billed yearly, for unlimited assets.
  • Reviewers never need a seat, on any plan.

Details: https://flask.do/pricing

Docs and support

  • Server documentation: https://flask.do/mcp
  • Support: hello@flask.do
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