MCP Servers · GLips

Figma-Context-MCP

Figma-Context-MCP is a Model Context Protocol server that connects Figma design files to AI coding agents like Cursor, enabling them to access design layout and styling data. It simplifies Figma API responses to provide only relevant context, allowing AI tools to implement designs more accurately in code.

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Source: GitHub — github.com/GLips/Figma-Context-MCP

15.3k

GitHub stars

1.2k

Forks

TypeScript

Primary language

MIT

License (OSI-approved)

Key facts

Objective fields from the source. Values we can't verify are shown as “Unknown” rather than guessed.

Field	Value
Repository	GLips/Figma-Context-MCP
Owner	GLips
Primary language	TypeScript
License	MIT — OSI-approved
Stars	15.3k
Forks	1.2k
Open issues	22
Latest release	v0.13.2 (2026-06-18)
Last updated	2026-07-03
Source	https://github.com/GLips/Figma-Context-MCP

What Figma-Context-MCP is

TypeScript-based MCP server that exposes Figma design metadata (layout, styling, hierarchy) via the Model Context Protocol, translating raw Figma API responses into a simplified schema optimized for LLM context windows. Configured via command-line arguments or environment variables and communicates via stdio.

Quickstart

Get the Figma-Context-MCP source

Clone the repository and explore it locally.

terminalbash

1git clone https://github.com/GLips/Figma-Context-MCP.git2cd Figma-Context-MCP3# follow the project's README for install & configuration

Need it deployed, integrated, or customized instead? DEV.co ships production installs.

Best use cases

One-shot UI implementation in Cursor

Paste a Figma frame link in Cursor's agent mode and request code generation; the server provides design data directly to the model for accurate component and layout implementation without screenshots.

Design-to-code handoff automation

Teams using Figma for design and Cursor for development can reduce manual translation of specs by giving the AI agent direct access to authoritative design metadata, typography, spacing, and color information.

Rapid prototyping and iteration

Developers can quickly generate code scaffolds from Figma designs, then iterate with AI assistance, maintaining a single source of truth in the design file.

Implementation considerations

Figma API access token must be created and securely stored; configure via command-line argument or FIGMA_API_KEY environment variable.
Server runs as an MCP process and communicates via stdio; verify your IDE's MCP support and configuration format (JSON schema differs between Cursor, VS Code, and others).
Context reduction by the server means some Figma metadata (e.g., advanced prototyping, variables, detailed component properties) may not be passed to the LLM.
Response latency depends on Figma API performance and network connectivity; large or complex files may introduce perceptible delays.
No built-in caching of Figma responses; repeated requests to the same design file will re-fetch from Figma's API.

When to avoid it — and what to weigh

Not using Cursor or MCP-compatible AI editors — This server is specifically built for Cursor; integration with other IDEs or AI tools is not clearly documented.
Complex design systems with heavy customization — The server simplifies Figma API responses; projects requiring detailed design token exports, custom component libraries, or non-standard metadata mappings may find the abstraction limiting.
Sensitive design information — The server requires a Figma API token to be configured in your editor's config file; ensure your API key and token handling meet your organization's security policy.
Offline or air-gapped environments — The MCP server communicates with Figma's API in real-time and requires internet connectivity; it is not suitable for offline-only workflows.

License & commercial use

MIT License (permissive open-source). Allows unrestricted use, modification, and distribution for commercial and non-commercial purposes, provided original license and copyright notice are retained.

MIT is a permissive OSI-approved license that permits commercial use without restriction. You may use this in proprietary products and modify the code freely, but you must retain the original MIT license notice. No patent protection or warranty is provided; review the full license for liability disclaimers.

DEV.co evaluation signals

Editorial assessment — not user reviews. Directional, with an explicit confidence level.

Signal	Assessment
Maintenance	Active
Documentation	Adequate
License clarity	Clear
Deployment complexity	Low
DEV.co fit	Good
Assessment confidence	High

Security considerations

The MCP server processes Figma API tokens; ensure your IDE's config file permissions are restrictive (not world-readable). Token is passed as a command-line argument or environment variable; review your environment's secret handling practices. The server makes outbound requests to Figma's API; verify compliance with your organization's network and data residency policies. No built-in encryption, audit logging, or advanced security features documented.

Alternatives to consider

Figma to Code (third-party commercial tools)

Some commercial tools offer Figma-to-code export with broader framework support; may provide more detailed output but require separate licensing and integration setup.

Manual screenshot + vision-based AI

Free approach using Cursor's native vision capabilities with Figma screenshots; less accurate per README claims, but requires no additional tooling or API tokens.

Design token export plugins (Figma Tokens, Tokens Studio)

Design token management systems that export to JSON or CSS; orthogonal approach, useful for design system governance but not AI-driven code generation.

Software development agency

Build on Figma-Context-MCP with DEV.co software developers

Set up Figma-Context-MCP in Cursor to streamline design-to-code handoff. Requires a Figma API token and Cursor with MCP support.

Talk to DEV.co

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Figma-Context-MCP FAQ

How do I get a Figma API access token?

Create one in Figma's account settings under 'Personal access tokens'. The README links to Figma's official token management documentation.

Does this work with other IDEs besides Cursor?

The server implements the Model Context Protocol, so theoretically it should work with any MCP-compatible client (e.g., Claude Desktop). Cursor is the documented primary use case; support for other tools is not explicitly confirmed.

What Figma data is exposed to the AI model?

Layout, styling, typography, spacing, colors, and hierarchy. The server simplifies and filters raw Figma API responses to reduce LLM context noise; not all Figma metadata (e.g., prototyping, variables) is guaranteed to be passed through.

Is there a cost associated with using this server?

The server itself is free (MIT licensed). Figma API usage is subject to Figma's rate limits and pricing; check Figma's developer terms if running high-volume requests.

Custom software development services

DEV.co is a software development agency delivering custom software development services to companies building on open source. Our software developers and web developers design, integrate, and ship production systems — spanning web development, APIs, AI, data, and cloud. If Figma-Context-MCP is part of your mcp servers roadmap, our team can implement, customize, migrate, and maintain it.

Integrate Figma into your AI-powered development workflow

Set up Figma-Context-MCP in Cursor to streamline design-to-code handoff. Requires a Figma API token and Cursor with MCP support.

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