figma-mcp-hybrid

figma-mcp-hybrid

Enables reading Figma files via REST API and writing to the Figma canvas via a WebSocket bridge.

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README

Figma MCP (Hybrid)

A local Model Context Protocol server that gives Cursor (or any MCP client) both:

  • REST reads — read any Figma file by key (document tree, nodes, components, styles, comments, image exports), hardened against Figma's rate limits with a persistent disk cache, per-tier throttling, 429/Retry-After backoff, request coalescing, and stale-while-revalidate. Works without opening the file in Figma.
  • Canvas writes — create/edit/delete nodes, set fills, auto-layout, components, text, and more, by driving the Figma Plugin API over a local WebSocket bridge.

It is a hybrid of two approaches:

Architecture

Cursor (MCP host)
   stdio / JSON-RPC
MCP server  (src/talk_to_figma_mcp/server.ts, Node + tsx)
   REST + disk cache + throttle  ->  Figma REST API        (read any file by key)
   WebSocket client  ->  Relay (src/socket.ts) <-> Figma plugin  (read open file + write canvas)

Three independent processes connect over ws://localhost:3055:

  1. The relay (src/socket.ts) — a channel-based WebSocket broker.
  2. The MCP server — connects to the relay as a client and to Cursor over stdio.
  3. The Figma plugin (src/cursor_mcp_plugin) — its iframe UI owns the WebSocket (the plugin sandbox can't), and relays commands to the Figma scene.

The MCP server and plugin pair up by joining the same channel.

Avoiding Figma rate limits

Figma's REST API is rate-limited (leaky bucket, per-minute; e.g. Tier-1 file/image reads are 10-20/min on paid Dev/Full seats but only 6 per month on Starter). This server minimizes how often it actually calls the API using a read hierarchy:

1. Plugin bridge   -> read the open file via the Plugin API   (0 REST calls, no limit, no token)
2. Disk cache      -> serve a fresh cached response           (0 REST calls)
3. Throttled fetch -> per-tier queue + coalesce duplicates    (1 REST call, then cached)
   - on 429        -> wait Retry-After, exponential backoff
   - on failure    -> serve stale cache with a [STALE] note

Practical effect: an agent that would otherwise make hundreds of reads makes one (or zero, when the file is open in Figma). REST tool results are prefixed with [cache hit] or [STALE] ... so you can see when no API call was made. Pass forceRefresh: true to any read tool (or use figma_cache_clear) to bypass the cache.

Caching / throttling env vars (all optional)

Variable Default Purpose
FIGMA_CACHE_DIR OS cache dir (~/Library/Caches/figma-mcp, ~/.cache/figma-mcp, %LOCALAPPDATA%/figma-mcp) Where cached responses are written
FIGMA_CACHE_TTL 24h TTL for file/node/component/style/comment reads (30d, 12h, 30m, 60s, 500ms)
FIGMA_IMAGE_CACHE_TTL 1h TTL for image renders (URLs expire, so kept short)
FIGMA_RPM_TIER1 10 Max requests/min for Tier 1 (file, nodes, images)
FIGMA_RPM_TIER2 25 Max requests/min for Tier 2 (comments)
FIGMA_RPM_TIER3 50 Max requests/min for Tier 3 (components, styles)
FIGMA_MAX_RETRIES 5 Max 429 retries before giving up (then stale cache is served if available)

Raise FIGMA_CACHE_TTL (e.g. 30d) for stable/finished designs to make API calls extremely rare. Lower the FIGMA_RPM_* values to match a Starter seat's stricter limits.

Requirements

  • Node.js 18+ (developed on Node 24; uses the global fetch). No Bun required.
  • Figma Desktop (for the write/plugin path).
  • A Figma personal access token (for the REST read path): Figma → Settings → Security → Personal access tokens.

Install

npm install

Configure Cursor

Add to ~/.cursor/mcp.json (use an absolute path to this folder):

{
  "mcpServers": {
    "figma-hybrid": {
      "command": "npx",
      "args": ["tsx", "/absolute/path/to/figma-mcp/src/talk_to_figma_mcp/server.ts"],
      "env": {
        "FIGMA_TOKEN": "your-figma-personal-access-token"
      }
    }
  }
}

A project-scoped equivalent is in .mcp.json. The FIGMA_TOKEN is only needed for REST read tools; the plugin/WebSocket write tools work without it.

Run order

  1. Start the relay:
    npm run socket
    
    (Listens on ws://localhost:3055. Override with WS_PORT.)
  2. Run the Figma plugin: Figma Desktop → Plugins → Development → Import plugin from manifest → select src/cursor_mcp_plugin/manifest.json → run it. In the plugin UI, copy/generate a channel name and connect.
  3. The MCP server is started by Cursor automatically from mcp.json. To run it manually: npm run start.
  4. In Cursor, call the join_channel tool with the same channel name from step 2. Now both read and write tools are live.

Tools

REST read tools (need FIGMA_TOKEN, work on any file by key, cached)

All read tools accept forceRefresh: true to bypass the cache.

Tool Tier Purpose
get_figma_file 1 Document tree (defaults to depth=2; slimmed to name/lastModified/document)
get_figma_nodes 1 Specific nodes by comma-separated IDs
get_figma_images 1 Render nodes to PNG/JPG/SVG/PDF URLs (short cache)
get_figma_comments 2 File comments
post_figma_comment 2 Add a comment (optionally anchored to a node); not cached
get_figma_components 3 Published components
get_figma_styles 3 Color/text/effect/grid styles
figma_cache_stats - Cache location, entry count, size
figma_cache_clear - Clear cache (all, or by fileKey)

Canvas/plugin tools (need the relay + plugin running, plus join_channel)

create_frame, create_text, create_rectangle, set_fill_color, set_stroke_color, move_node, resize_node, clone_node, delete_node, auto-layout (set_layout_mode, set_padding, set_item_spacing, ...), component instances, annotations, text scanning, and more — see src/talk_to_figma_mcp/server.ts.

Verify

npm run typecheck            # tsc --noEmit
node scripts/relay-smoke.mjs # relay request/response round-trip
node scripts/mcp-smoke.mjs   # boot server over stdio, list tools
npx tsx scripts/cache-smoke.ts # cache hit, 429 backoff, coalescing, stale-while-revalidate

For a full end-to-end check, set FIGMA_TOKEN, start the relay + plugin, join_channel, then call get_figma_file on a known key and create_frame followed by set_fill_color.

Gotchas

  • stdio is sacred. The MCP server must never write to stdout except JSON-RPC. It logs to stderr via a logger. The relay is a separate process, so its stdout logging is fine.
  • WebSocket lives in the plugin UI. The Figma plugin sandbox has no WebSocket; the iframe (ui.html) owns the socket and relays to the main thread.
  • Channel mismatch = silence. If write tools hang, confirm the plugin and join_channel use the same channel and the relay is running.
  • Response size. Keep get_figma_file at low depth; use get_figma_nodes for targeted reads.

Credits

Write bridge and plugin: sonnylazuardi/cursor-talk-to-figma-mcp (MIT). REST read layer and Node port added here.

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