Figma Context MCP
by GLips
Give your coding agent access to your Figma data. Implement designs in any framework in one-shot.
Runs on your computer★ 16,165MITUpdated 5 months ago
Install
Flask
Overview
Description from the maker (original English)
Video review for agents: upload renders, read time-coded feedback, iterate version by version.
PopNx MCP’s three pillars
These three are never merged into one score: opinions, measurements and popularity are different things.
- User voiceiNo reviews yetReviews open together with accounts in a later step
- Our basic checksi1 of 1 passedChecked from public information; code not scanned yet
- UsageiNot measured yet★ –
What you can do with it
We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
- Connection: Runs in the cloud
- Transport: Streamable HTTP
- Category: Design, images & audio
Install
Pick the AI app you use, then copy the settings.
Before you install
- Basic checks: 1 of 1 passed
- Runs on the maker’s server: what you ask it goes through their server.
- The registry lists no key to fill in.
You need
- Runs in the cloudNothing to install; it connects over the internet
Which app do you use?
Pick your app above. We remember it, so next time the button says “Install in …”.
Works in Claude on the web, desktop and mobile:
- Open Settings → Connectors
- Press Add custom connector
- Paste the address below and press Add
- If it asks you to sign in, sign in with the maker
https://api.flask.do/api/mcp/mcpRun this in your terminal
claude mcp add --transport http flask https://api.flask.do/api/mcp/mcpOr copy the settings yourself
Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"flask": {
"url": "https://api.flask.do/api/mcp/mcp"
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
Or copy the settings yourself
Paste into .vscode/mcp.json in your project
{
"servers": {
"flask": {
"type": "http",
"url": "https://api.flask.do/api/mcp/mcp"
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
ChatGPT connects only to servers on the internet:
- Open ChatGPT on the web → Settings → Connectors (Apps)
- Press Create or Add (some plans need Developer mode under Advanced first)
- Paste the address below, give it a name and save
- If it asks you to sign in, sign in with the maker
https://api.flask.do/api/mcp/mcpMenu names can differ slightly by plan and over time.
Your choice stays on this device in a cookie; no account needed.
These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
What it can do
We have not read this server’s tool list yet; we check endpoints in rotation.
Basic checksi
We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 6, 2026
- ✓ Pass
Maker matches the repo
The registry name was verified with the GitHub account tryflask, which owns the repo
- … Not checked yet
Still maintained
We have not read this repo from GitHub yet
- … Not checked yet
Has a licence
We have not read this repo from GitHub yet
- … Not checked yet
Endpoint responds
Not checked yet; we check endpoints in rotation
- … Not checked yet
Sign-in with OAuth
Not checked yet; we check endpoints in rotation
- … Not checked yet
No hidden instructions in tool descriptions
Not checked yet; we read the tool list when we check the endpoint
Compared with others in Design, images & audioi
- More stars than 0% of the other 2164 servers in this category
- Published to the registry more recently than 73% of the other 2164 servers in this category
- Basic checks equal to or better than 100% of the other 2164 servers in this category
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
Common questions
Is Flask safe?
It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.
What keys or codes does it need?
The registry does not list a required key, though some servers ask you to sign in on first use.
Does it run on my computer or in the cloud?
It runs in the maker’s cloud. Connect over the internet with nothing to install, but what you send passes through the maker’s servers.
Is it still maintained?
The GitHub repo last changed –, and the latest version (1.4.1) reached the registry 12 days ago.
Which apps can use it?
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. It connects by URL, so apps that accept remote MCP servers work too, such as ChatGPT in developer mode.
What can I use instead?
In the same category: Figma Context MCP, Claude Real Video, Figma MCP Server
Alternatives
Servers in the same category from other makers, sorted by stars.
Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
Claude Real Video
by HUANGCHIHHUNGLeo
Let any LLM watch a video locally — and search everything it has ever watched.
Runs on your computer★ 2,284MITUpdated 2 months ago
Install
Figma MCP Server
by figma
Figma’s official server gives AI your design data so it can turn designs into code or describe them accurately. Connects to Figma’s cloud.
Runs in the cloud★ 2,152Updated 13 months ago
Install
README from the maker
Open the README
Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.
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-collaborationThen 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-feedbackIt 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 onceyou 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