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Figma MCP

@scalablyMCP server · External

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

UI designv1.0.1MITTypeScript
Freeno charge per call
How to install

Runs on your machine from its package; the steps are below.

What it does

  1. Reads
  2. Writes
  3. High impact

At most: only reads or looks up information.

What it costs

Free

Odel charges nothing per call. The publisher may charge for its own service.

Runs locally over stdio

This server isn't hosted — your MCP client launches it from a package registry. Use one of the commands below, or drop the config into your client (e.g. Claude Desktop).

npm@scalably-io/figma-mcpv1.0.1

Run

npx -y @scalably-io/figma-mcp

MCP client config

{
  "mcpServers": {
    "figma-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "@scalably-io/figma-mcp"
      ]
    }
  }
}
MCP Bundlehttps://github.com/scalably-io/figma-mcp/releases/download/v1.0.1/figma-mcp.mcpb

Distributed as an MCP bundle (`https://github.com/scalably-io/figma-mcp/releases/download/v1.0.1/figma-mcp.mcpb`) — download it and import the bundle in your MCP client.

README3 min read

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:

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

Codex:

bash
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: <code>: <message> <hint>.

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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