Configure Framelink's Figma MCP server so coding agents can fetch clean design layout context from Figma files before implementing UI.
Scanned 6/8/2026
Install via CLI
openskills install agentskillexchange/skills---
name: "Give coding agents Figma layout context through MCP"
slug: "give-coding-agents-figma-layout-context-through-mcp"
description: "Configure Framelink's Figma MCP server so coding agents can fetch clean design layout context from Figma files before implementing UI."
github_stars: 14915
verification: "security_reviewed"
source: "https://github.com/GLips/Figma-Context-MCP"
author: "GLips"
publisher_type: "organization"
category: "Integrations & Connectors"
framework: "MCP"
tool_ecosystem:
github_repo: "GLips/Figma-Context-MCP"
github_stars: 14915
npm_package: "figma-developer-mcp"
npm_weekly_downloads: 257887
---
# Give coding agents Figma layout context through MCP
Configure Framelink's Figma MCP server so coding agents can fetch clean design layout context from Figma files before implementing UI.
## Prerequisites
Node.js, npm or npx, Figma personal access token, MCP-compatible coding client
## Installation
Basic usage or getting-started notes:
- Many code editors and other AI clients use a configuration file to manage MCP servers.
- The figma-developer-mcp server can be configured by adding the following to your configuration file.
- NOTE: You will need to create a Figma access token to use this server. Instructions on how to create a Figma API access token can be found [here](https://help.figma.com/hc/en-us/articles/8085703771159-Manage-personal-...
- Source: https://github.com/GLips/Figma-Context-MCP
- Extracted from upstream docs: https://raw.githubusercontent.com/GLips/Figma-Context-MCP/HEAD/README.md
## Documentation
- https://www.framelink.ai/docs/quickstart
## Source
- [Agent Skill Exchange](https://agentskillexchange.com/skills/give-coding-agents-figma-layout-context-through-mcp/)
No comments yet. Be the first to comment!
Ultra-compressed communication mode. Cuts token usage ~75% by speaking like caveman while keeping full technical accuracy. Supports intensity levels: lite, full (default), ultra, wenyan-lite, wenyan-full, wenyan-ultra. Use when user says "caveman mode", "talk like caveman", "use caveman", "less tokens", "be brief", or invokes /caveman. Also auto-triggers when token efficiency is requested.