
Figma Mcp Express
io.github.sunhome243Published by GitHub account sunhome243v2.8.1Updated Oct 24, 2026
Compact Figma MCP with validated batch ops through a local plugin bridge.
The publisher's own server: Figma MCP Server
Overview
A compact Figma MCP server that enables AI agents to read, edit, and prototype directly within the Figma Desktop application.
- What you can do
- Allows agents to interact with the Figma Desktop file by reading and modifying live elements such as nodes, components, variables, and styles. It supports batch operations, multi-file routing, and prototype wiring. Agents can perform tasks like design system migrations, large file audits, and prompt-to-Figma workflows directly in the design environment.
- When to use it
- Use this server when AI agents need to perform complex, real-time design tasks within the actual Figma Desktop file, going beyond simple screenshots or comments. It is ideal for design system migrations, large-scale audits, and advanced prompt-to-design workflows.
- Requirements
- Runs as a local process on the user's machine. For REST-only operations like fetching library catalogs, the FIGMA_TOKEN environment variable is required. Installation can be done via npm or by building from source.
Installation
In SourceWeft
- Open Figma Mcp Express in the dashboard and add it to a workspace.
- Enable the server for the chats that should use its tools.
Desktop only via STDIO. STDIO servers start a local process, so they need the SourceWeft desktop host.
Other MCP clients
Follow the launch instructions in the repository.
README
figma-mcp-express
[Figma MCP Express hero: the fast lane for AI agents into Figma]
[License: MIT] [Go] [npm] [Works with Claude Code] [Works with Codex]
Fast, quota-free, stable Figma automation for coding agents. figma-mcp-express lets Claude Code, Codex, and other local agents read, edit, migrate, audit, screenshot, and prototype inside the real Figma Desktop file. It is built for serious design-system work: batch edits, multi-file routing, large-file reads, visible multi-agent activity, and prototype wiring without burning through official Figma MCP tool-call quotas.
Use it when screenshots and comments are not enough. The agent can inspect actual nodes, components, variables, styles, frames, prototype reactions, and connected files, then make targeted changes in the file designers already use.
Demo
[Multiple AI agents building screens live in Figma]
Follow AI agents live as they fix issues, edit layouts, and design screens directly in Figma.
Why teams use it
- More automation, fewer quota walls. Normal plugin-side work is not capped by the official Figma MCP server's seat-based tool-call limits.
- Compact tool surface. Compared with
vkhanhqui/figma-mcp-go@fe6cd768(the intermediate fork baseline used for this measurement), the defaulttools/listdrops from 73 tools / 12,214o200k_basetokens to 21 tools / 3,283 tokens (73.1% smaller) — less context burned before the agent does any work. - Real Figma context, not screenshots. Agents work with live nodes, components, variables, styles, frames, screenshots, and prototype links in the open Desktop file.
- Built for design-system migration. Route a source library and product file through separate channels, then rebuild screens with the right components and tokens.
- Made for multi-agent runs. Watch agent activity live, follow one agent's edits, and keep file sessions separated by channel.
- Large files stay usable. Big reads spill to disk so agents can inspect only the useful slice instead of flooding the model context.
- Prototype automation is part of the workflow. Read prototype flows, set reactions, and set flow starting points.
Capabilities
- Watch live agent activity in the Figma plugin.
- Build polished Figma screens with built-in AI agent skills.
- Route multiple open files through separate channels.
- Migrate design systems with real components, variables, and styles.
- Read and wire prototype flows directly in the open Figma file.
Good fit
- Design system migrations and component-library swaps
- Large file audits, cleanup, and token rebinding
- Design-to-code handoff that needs real token and component context
- Prompt-to-Figma workflows that should use your actual library instead of raw shapes
- Prototype audits and wiring for navigation, overlays, transitions, and flow starts
Quick start
1. Install the server
Plugin install is the shortest path.
Claude Code
Codex
2. Import the Figma Desktop plugin
- Download
plugin.zipor build from source. - In Figma Desktop, go to
Plugins -> Development -> Import plugin from manifest.... - Select
manifest.jsonfrom the unzipped plugin folder or from this repo'splugin/directory.
3. Run it
- Open the target file in Figma Desktop.
- Start
Plugins -> Development -> Figma MCP Express. - Keep the plugin running while the agent works.
- If you open multiple files, each file gets its own channel ID for multi-file workflows.
Important limits
- Most live tools require the target file to be open in Figma Desktop with the plugin running.
fetch_library_catalogis the main REST-only exception and requiresFIGMA_TOKEN.- Plugin execution is still single-threaded per file; the server reduces contention, but it does not make one file fully parallel.
- Community kits must be published as a library before
import_component_by_keycan use them. - Remote follower (beta) is private Tailnet-only. It is not a public MCP URL: keep the leader loopback-only, expose it with Tailscale Serve (never Funnel), and connect the AI client to the follower's local
/mcp. See DEV-SETUP.md.
Build from source
For other MCP clients, or if you want to modify the server:
This produces bin/figma-mcp-express and plugin/dist/.
Add it to your .mcp.json:
Restart your MCP client after building.
Advanced environment variables
FIGMA_TOKEN
Most workflows do not need a token. Live read/write tools talk directly to Figma Desktop through the plugin.
You only need FIGMA_TOKEN for REST-backed library catalog lookups such as fetch_library_catalog.
- Generate it in Figma at
Account Settings -> Personal access tokens - Read-only file access is enough for catalog lookup
- Treat it like a password and never commit it
If you installed from the marketplace, set it in your shell profile:
If you built from source, you can either export it in your shell or place it in a local .env file:
Shell environment variables take precedence over .env.
More docs
- TOOLS.md for the full tool catalog
- ARCHITECTURE.md for queueing, routing, spill-to-disk, and recovery behavior
- DEV-SETUP.md for local build, rebuild, and test instructions
Credits
The original bridge architecture and implementation underlying this project were created by GETHOPP LTD in gethopp/figma-mcp-bridge@82b28bc and released under the MIT License.
figma-mcp-express was initially created from an intermediate fork without knowing this earlier provenance. After learning the full lineage, we restored GETHOPP LTD's copyright notice and now credit the original project directly. We value a healthy, transparent open-source ecosystem and aim to make authorship and derivation explicit.
Required third-party copyright notices are preserved in LICENSE. figma-mcp-express is MIT-licensed and permits commercial use.
Source: README.md at commit dcc3a10
Tools
0Version history
1- v2.8.1LatestSep 16, 2026
Score
50% of the applicable checks met
How complete this listing is, computed from the registry entry, the endpoint and public sources. Not a rating of the server and not a statement that it is safe or working today: reachability is a dated check, and no installs or reviews go into the score.
- Reached in the last 30 days25 pts
Keep the endpoint answering the MCP handshake; SourceWeft probes it every 30 days.
- Auth declared10 pts
Declare the credential headers in the registry entry, or keep the endpoint answering the probe so its auth can be classified.
- Tools listed15 pts
Answer tools/list without a credential, or ship a package that starts in a sandbox without one.
- DescriptionRequired15 pts
- Logo10 pts
- Documentation15 pts
- License10 pts
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