mcpField
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Figma MCP

Figma MCP

Local
scalably.ioMedia & Design0Updated 7w ago

About Figma MCP

Figma MCP gives design and development workflows access to Figma REST API data. It lists a file's top-level frames and saves a selected frame's PNG, node JSON, and image-fill map locally.

Key features

  1. 01List and filter top-level Figma frames
  2. 02Inspect frame names, IDs, dimensions, and pages
  3. 03Fetch a frame's rendered PNG
  4. 04Save node JSON and normalized image-fill data
  5. 05Keep fetched files beneath a configured output root

Use cases

  1. 01Review the frames available in a Figma file
  2. 02Retrieve a frame's image and structured node data
  3. 03Save frame assets locally for downstream inspection

MCP support

Exposes two tools to MCP clients: one lists top-level frames, and the other fetches a frame and writes its PNG and JSON data to a local output directory. It uses a Figma personal access token.

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

No install method listed yet

We haven’t collected a package or remote endpoint for this server. Follow the instructions in the project README.

Repository
Packages
npm@scalably-io/figma-mcp1.0.1
mcpbfigma-mcp.mcpb

Tools

2

Saved tool list · updated 2w ago

ParameterTypeRequiredDescription
querystringNoOptional case-insensitive page or frame-name substring.
file_keystringYesFile key parsed from the Figma URL.

Details

From the project README

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: <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: [email protected]. Canonical copy: https://scalably.io/connector-privacy.html

License

MIT. Copyright Scalably.

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