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PopNx MCPMCP servers for people who use AI · explained in plain words

Figma MCP

by scalably-ioversion 1.0.1i★ –iRuns on your computer
Registry nameio.scalably/figma-mcp

Install

Overview

Description from the maker (original English)

Figma MCP: list frames in a file and fetch one frame's JSON and image safely. 2 tools.

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

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 on your computer
  • Transport: stdio
  • Category: Design, images & audio
  • You need to fill in: FIGMA_TOKEN

Install

Pick the AI app you use, then copy the settings.

Before you install

  • Basic checks: 1 of 1 passed
  • Runs on your computer with your user’s permissions (files, network, apps).
  • You fill in yourself: FIGMA_TOKEN, FIGMA_API_BASE_URL, FIGMA_REQUEST_TIMEOUT_MS, FIGMA_MAX_JSON_BYTES, FIGMA_MAX_FRAME_BYTES, FIGMA_OUTPUT_ROOT, FIGMA_ALLOW_HTTP_FOR_TESTS

Values marked secret are keys to your account. Never share them or paste them into a chat.

You need

  • npmNode.js installed (for the npx command)

Which app do you use?

Pick your app above. We remember it, so next time the button says “Install in …”.

Download the maker’s .mcpb file

The link goes to the maker’s own file; we do not host or repackage it. Open the file and Claude Desktop installs it.

Run this in your terminal

claude mcp add figma --env FIGMA_TOKEN=your-value --env FIGMA_API_BASE_URL=your-value --env FIGMA_REQUEST_TIMEOUT_MS=your-value --env FIGMA_MAX_JSON_BYTES=your-value --env FIGMA_MAX_FRAME_BYTES=your-value --env FIGMA_OUTPUT_ROOT=your-value --env FIGMA_ALLOW_HTTP_FOR_TESTS=your-value -- npx -y @scalably-io/figma-mcp

Fill in the empty values before running it.

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "figma": {
      "command": "npx",
      "args": [
        "-y",
        "@scalably-io/figma-mcp"
      ],
      "env": {
        "FIGMA_TOKEN": "your-value",
        "FIGMA_API_BASE_URL": "your-value",
        "FIGMA_REQUEST_TIMEOUT_MS": "your-value",
        "FIGMA_MAX_JSON_BYTES": "your-value",
        "FIGMA_MAX_FRAME_BYTES": "your-value",
        "FIGMA_OUTPUT_ROOT": "your-value",
        "FIGMA_ALLOW_HTTP_FOR_TESTS": "your-value"
      }
    }
  }
}

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.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "figma": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@scalably-io/figma-mcp"
      ],
      "env": {
        "FIGMA_TOKEN": "your-value",
        "FIGMA_API_BASE_URL": "your-value",
        "FIGMA_REQUEST_TIMEOUT_MS": "your-value",
        "FIGMA_MAX_JSON_BYTES": "your-value",
        "FIGMA_MAX_FRAME_BYTES": "your-value",
        "FIGMA_OUTPUT_ROOT": "your-value",
        "FIGMA_ALLOW_HTTP_FOR_TESTS": "your-value"
      }
    }
  }
}

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.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

Values you fill in

  • FIGMA_TOKEN secret required env
    Figma personal access token with file_content:read
  • FIGMA_API_BASE_URL env
    Figma REST API base URL, default https://api.figma.com/v1
  • FIGMA_REQUEST_TIMEOUT_MS env
    Per-request timeout in milliseconds, default 60000
  • FIGMA_MAX_JSON_BYTES env
    Upper bound on a Figma JSON response in bytes, default 104857600
  • FIGMA_MAX_FRAME_BYTES env
    Upper bound on a downloaded frame PNG in bytes, default 104857600
  • FIGMA_OUTPUT_ROOT env
    Directory that all fetch_frame output directories must stay below, default ./figma-output
  • FIGMA_ALLOW_HTTP_FOR_TESTS env
    Test suite only: set to 1 to allow a plain-HTTP loopback API base. Never set it in normal use

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

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 7, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified against the domain scalably.io (the registry checks domain ownership)

  • … 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 applicable

    Endpoint responds

    This one runs on your computer; there is no internet endpoint

  • – Not applicable

    Sign-in with OAuth

    Runs on your computer and uses local settings instead

  • … Not checked yet

    No hidden instructions in tool descriptions

    Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Design, images & audioi

  • More stars than 0% of the other 2753 servers in this category
  • Published to the registry more recently than 30% of the other 2753 servers in this category
  • Basic checks equal to or better than 100% of the other 2753 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 Figma MCP 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?

You need to fill in: FIGMA_TOKEN

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (1.0.1) reached the registry 2 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js, MCPB on your computer.

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

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
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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
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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
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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.

Figma MCP

Figma REST API MCP server. 2 tools list the top-level frames in a file and fetch one frame's rendered PNG plus its node JSON and image-fill map into a local output directory.

Install

Claude Code:

claude mcp add figma -e FIGMA_TOKEN=your-token -- npx -y @scalably-io/figma-mcp

Codex:

codex mcp add figma --env FIGMA_TOKEN=your-token -- npx -y @scalably-io/figma-mcp

Claude Desktop: download figma-mcp.mcpb from the latest GitHub release and open it.

Setup

  1. Create a personal access token at figma.com under account settings, with file_content:read scope.
  2. Find the file key in any Figma file URL: it is the segment after /design/ or /file/, for example https://www.figma.com/design/AbC123xyz/My-file gives AbC123xyz. Both tools take it as file_key.
  3. If FIGMA_TOKEN is not set the server still starts and lists its tools; every call then fails with FIGMA_NOT_CONFIGURED until the token is provided.
  4. fetch_frame is the only tool that writes files (so it is not marked read-only); it writes frame.png, node.json, and fills.json into a directory below the configured output root (default ./figma-output). The other tool is fully read-only.

Tools (2)

ToolWhat it does
list_framesList and optionally filter all top-level FRAME nodes in a Figma file, with exact page/name/node-id data, dimensions, and file metadata
fetch_frameFetch one Figma frame and transactionally write frame.png, node.json, and a normalized image-fill map into a directory below the output root

Configuration

VariableRequiredPurpose
FIGMA_TOKENyesFigma personal access token with file_content:read
FIGMA_API_BASE_URLnoOverride the Figma REST API base URL (default https://api.figma.com/v1)
FIGMA_REQUEST_TIMEOUT_MSnoPer-request timeout in milliseconds (default 60000)
FIGMA_MAX_JSON_BYTESnoUpper bound on a Figma JSON response, in bytes (default 104857600)
FIGMA_MAX_FRAME_BYTESnoUpper bound on a downloaded frame PNG, in bytes (default 104857600)
FIGMA_OUTPUT_ROOTnoDirectory that every fetch_frame output directory must stay below (default ./figma-output, created on first use)
FIGMA_ALLOW_HTTP_FOR_TESTSnoTest suite only: 1 allows a plain-HTTP loopback API base. Never set it in normal use

Reply shape

Every tool returns plain JSON with status (succeeded, partial, no_op), summary, target, result, proof, warnings, recovery. Failures throw a plain error string: : .

Limits

fetch_frame renders through Figma's image API, so very large frames or extreme scale values can exceed the configured JSON or frame byte limits; lower scale or split the frame if that happens. fills.json URLs are temporary and expire within 14 days.

Verify

Each release lists the package version, the .mcpb sha256 and the production commit it was derived from in CHANGELOG.md. CI runs the tests and a clean install of the packed tarball on every push.

Privacy Policy

This server runs locally, on your machine, under your own credentials. It collects no personal data, contains no telemetry, stores nothing persistently beyond the frame bundles you explicitly fetch, and talks only to the vendor API it wraps. No third party, including Scalably, receives your data. Contact: hello@scalably.io. Canonical copy: https://scalably.io/connector-privacy.html

License

MIT. Copyright Scalably.

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