sunnyside-figma-context-mcp
Extract pixel-perfect code, design tokens, and component structures from Figma designs via MCP tools for AI-driven development workflows
How do I install this agent skill?
npx skills add https://github.com/reason-machines/design-skills --skill sunnyside-figma-context-mcpIs this agent skill safe to install?
- Gen Agent Trust Hubfail
The skill facilitates bridging Figma design data with AI workflows via a local MCP server. It poses a significant security risk by instructing the agent to clone and execute code from an external, untrusted GitHub repository. Additionally, it processes external data from Figma, creating an attack surface for indirect prompt injection.
- Socketpass
No alerts
- Snykwarn
Risk: MEDIUM · 1 issue
What does this agent skill do?
Sunnyside Figma Context MCP
Skill by ara.so — Design Skills collection
A Model Context Protocol (MCP) server providing 27 specialized tools to bridge Figma designs with AI development workflows. Supports two data paths: Figma Plugin (highest fidelity, works on any plan including Drafts) and Figma REST API (headless, requires team/project files).
Installation
Prerequisites:
- Node.js 18+
- Figma Personal Access Token (create here)
git clone https://github.com/tercumantanumut/sunnysideFigma-Context-MCP
cd sunnysideFigma-Context-MCP
npm install
npm run build
Environment configuration (.env):
FIGMA_API_KEY=figd_your_token_here
PORT=3333
OUTPUT_FORMAT=json
Start the server:
npm start
# Server runs on http://localhost:3333
# SSE endpoint: /sse
# HTTP endpoint: /mcp
MCP Client Configuration
SSE Transport (Recommended for Plugin Use)
Use when you need the Figma plugin and MCP tools to share extraction state:
{
"mcpServers": {
"sunnyside-figma": {
"type": "sse",
"url": "http://localhost:3333/sse"
}
}
}
stdio Transport
For headless use without plugin integration:
{
"mcpServers": {
"sunnyside-figma": {
"type": "stdio",
"command": "node",
"args": [
"/absolute/path/to/sunnysideFigma-Context-MCP/dist/cli.js",
"--stdio"
],
"env": {
"FIGMA_API_KEY": "figd_your_token_here"
}
}
}
}
HTTP Transport
{
"mcpServers": {
"sunnyside-figma": {
"type": "http",
"url": "http://localhost:3333/mcp"
}
}
}
Figma Plugin Setup
- Open Figma Desktop → Plugins → Development → Import plugin from manifest…
- Navigate to
figma-dev-plugin/manifest.jsonin the cloned repo - Run the plugin on any file
- Select a frame → click Extract Dev Code
The plugin sends extraction data to http://localhost:3333/plugin/* endpoints.
Core Tool Categories
Plugin-Bridge Tools (Highest Fidelity)
These tools read data extracted by the Figma plugin. No API limits, works on Drafts.
get_JSON — Primary extraction tool, returns comprehensive structured data:
// Returns:
{
id: string,
name: string,
type: string,
layoutMode?: string,
primaryAxisAlignItems?: string,
counterAxisAlignItems?: string,
paddingLeft?: number,
// ... full layout properties
fills: Array<{type: string, color: {r, g, b, a}, opacity?: number}>,
strokes: Array<any>,
effects: Array<any>,
variables: {[key: string]: {resolvedType: string, value: any}},
designTokens: {[category: string]: {[token: string]: any}},
allLayersCSS: {[layerId: string]: string} // CSS for every layer
}
get_figma_dev_history — List all past extractions:
// Returns array of:
{
id: string,
name: string,
timestamp: string,
type?: string,
layoutMode?: string
}
get_Basic_CSS — Root-level CSS only:
// Arguments: { extractionId?: string }
// Returns: CSS string from getCSSAsync()
get_All_Layers_CSS — CSS for every layer in selection:
// Arguments: { extractionId?: string }
// Returns: { [layerId: string]: string }
Code Generation Tools
get_react_component — TypeScript React + CSS module:
// Arguments: { extractionId?: string }
// Returns:
{
component: string, // .tsx file
styles: string // .module.css file
}
get_tailwind_component — React with Tailwind classes:
// Arguments: { extractionId?: string }
// Returns: Single-file React component with inline Tailwind classes
get_styled_component — React + styled-components:
// Arguments: { extractionId?: string }
// Returns: React component with styled-components CSS-in-JS
Design Token Lifecycle
extract_design_tokens — Build token catalog from selection:
// Arguments: { extractionId?: string }
// Returns:
{
colors: {[name: string]: {value: string, type: string}},
spacing: {[name: string]: {value: string, type: string}},
typography: {[name: string]: {value: string, type: string}},
// ... other categories
}
simulate_token_change — Dry-run a token modification:
// Arguments:
{
tokenPath: string, // e.g., "colors.primary.500"
newValue: any,
reason?: string
}
// Returns: { simulationId: string, affected: string[] }
analyze_token_change_impact — Blast-radius analysis:
// Arguments: { simulationId: string }
// Returns:
{
affectedNodes: Array<{id, name, currentValue, newValue}>,
breakingChanges: Array<{issue, severity}>,
recommendations: string[]
}
apply_token_change — Commit a simulated change:
// Arguments: { simulationId: string }
// Returns: { success: boolean, appliedChanges: number }
rollback_token_change — Revert an applied change:
// Arguments: { simulationId: string }
// Returns: { success: boolean, rolledBackChanges: number }
generate_migration_code — Produce codemod output:
// Arguments: { simulationId: string, format?: 'js' | 'ts' | 'css' }
// Returns: { code: string, instructions: string }
track_design_system_health — Coverage & conflict report:
// Returns:
{
tokenCoverage: number, // percentage
conflicts: Array<{token, instances, values}>,
orphanedTokens: string[],
recommendations: string[]
}
Figma REST API Tools
Require FIGMA_API_KEY and file access (team/project). Do not work on Drafts.
get_figma_data — Raw file or node JSON:
// Arguments:
{
fileKey: string, // From Figma URL
nodeId?: string // Optional: specific node
}
// Returns: Full Figma API response
get_figma_page_structure — Page-level tree:
// Arguments: { fileKey: string }
// Returns:
{
pages: Array<{
id: string,
name: string,
children: Array<{id, name, type}>
}>
}
download_figma_images — Batch export assets:
// Arguments:
{
fileKey: string,
nodeIds: string[],
format: 'svg' | 'png' | 'jpg',
scale?: number,
outputDir?: string
}
// Returns: { downloads: Array<{nodeId, path}> }
analyze_figma_components — Component detection:
// Arguments: { fileKey: string }
// Returns:
{
components: Array<{
id: string,
name: string,
description?: string,
instances: number
}>
}
Figma Dev Mode Tools (Professional Plan Only)
Bridge to Figma's official Dev Mode MCP Server (localhost:3845).
check_figma_dev_connection — Test Dev Mode server:
// No arguments
// Returns: { connected: boolean, error?: string }
get_figma_dev_mode_code — Official React + Tailwind generator:
// Arguments: { fileKey: string, nodeId: string }
// Returns: { code: string, format: string }
Common Usage Patterns
Pattern 1: Extract and Generate Component
// User selects a frame in Figma and runs the plugin.
// Agent workflow:
// 1. Check extraction history
const history = await use_mcp_tool("sunnyside-figma", "get_figma_dev_history", {});
const latestExtraction = history[0];
// 2. Get full structured data
const data = await use_mcp_tool("sunnyside-figma", "get_JSON", {
extractionId: latestExtraction.id
});
// 3. Generate Tailwind component
const component = await use_mcp_tool("sunnyside-figma", "get_tailwind_component", {
extractionId: latestExtraction.id
});
// Write component to file
await writeFile("./components/HeroSection.tsx", component);
Pattern 2: Design System Audit
// User clicks "Scan Entire Project" in plugin
// 1. Get project overview
const overview = await use_mcp_tool("sunnyside-figma", "get_plugin_project_overview", {});
// 2. Extract design tokens
const tokens = await use_mcp_tool("sunnyside-figma", "extract_design_tokens", {});
// 3. Check health metrics
const health = await use_mcp_tool("sunnyside-figma", "track_design_system_health", {});
// 4. Report conflicts
if (health.conflicts.length > 0) {
console.log("Token conflicts detected:");
health.conflicts.forEach(conflict => {
console.log(`- ${conflict.token}: ${conflict.instances} instances with different values`);
});
}
Pattern 3: Safe Token Migration
// User wants to rename "primary-500" to "brand-primary"
// 1. Simulate the change
const simulation = await use_mcp_tool("sunnyside-figma", "simulate_token_change", {
tokenPath: "colors.primary.500",
newValue: "brand-primary",
reason: "Align with new brand guidelines"
});
// 2. Analyze impact
const impact = await use_mcp_tool("sunnyside-figma", "analyze_token_change_impact", {
simulationId: simulation.simulationId
});
console.log(`Affects ${impact.affectedNodes.length} nodes`);
console.log(`Breaking changes: ${impact.breakingChanges.length}`);
// 3. Generate migration code
const migration = await use_mcp_tool("sunnyside-figma", "generate_migration_code", {
simulationId: simulation.simulationId,
format: "ts"
});
await writeFile("./migrations/rename-primary-token.ts", migration.code);
// 4. If safe, apply
if (impact.breakingChanges.length === 0) {
await use_mcp_tool("sunnyside-figma", "apply_token_change", {
simulationId: simulation.simulationId
});
}
Pattern 4: Headless Asset Export from URL
// User provides Figma URL: https://www.figma.com/file/ABC123/Design?node-id=10%3A52
// 1. Parse URL
const fileKey = "ABC123";
const nodeId = "10:52";
// 2. Get node data
const nodeData = await use_mcp_tool("sunnyside-figma", "get_figma_data", {
fileKey,
nodeId
});
// 3. Export as SVG
const exports = await use_mcp_tool("sunnyside-figma", "download_figma_images", {
fileKey,
nodeIds: [nodeId],
format: "svg",
outputDir: "./assets"
});
console.log(`Exported to: ${exports.downloads[0].path}`);
Pattern 5: Multi-Layer CSS Extraction
// User selects complex component with nested layers
// 1. Get latest extraction
const history = await use_mcp_tool("sunnyside-figma", "get_figma_dev_history", {});
const extractionId = history[0].id;
// 2. Get CSS for all layers
const allCSS = await use_mcp_tool("sunnyside-figma", "get_All_Layers_CSS", {
extractionId
});
// 3. Get structured data for layer names
const data = await use_mcp_tool("sunnyside-figma", "get_JSON", {
extractionId
});
// 4. Build CSS module with named classes
let cssModule = "";
Object.entries(allCSS).forEach(([layerId, css]) => {
const layerName = findLayerName(data, layerId);
cssModule += `.${toClassName(layerName)} {\n${css}\n}\n\n`;
});
await writeFile("./styles/component.module.css", cssModule);
Troubleshooting
"No extracted data available"
Cause: Plugin hasn't sent data or client is using stdio (separate process).
Solution:
- Re-open Figma plugin and click Extract Dev Code
- If using stdio transport, switch to SSE to share state with the HTTP server:
{ "mcpServers": { "sunnyside-figma": { "type": "sse", "url": "http://localhost:3333/sse" } } }
Figma REST API 404 / Timeout
Cause: File is in Drafts or token lacks access.
Solution:
- Move file from Drafts to a team/project
- Verify
FIGMA_API_KEYhas correct permissions - Fallback to plugin-bridge tools (work on Drafts)
check_figma_dev_connection Fails
Cause: Figma Dev Mode MCP Server not enabled or Free plan.
Solution:
- Requires Figma Professional plan
- Enable in Figma Desktop: Preferences → Enable local MCP Server
- Dev Mode server must be running on
localhost:3845 - Free plan users: use plugin-bridge tools instead
Server Won't Start on Port 3333
Cause: Port already in use.
Solution:
# Change in .env
PORT=3334
Update MCP client URL: http://localhost:3334/sse
Token Simulation Not Showing Changes
Cause: Simulation not applied or extraction is stale.
Solution:
- Check simulation list:
await use_mcp_tool("sunnyside-figma", "list_token_simulations", {}); - Apply simulation:
await use_mcp_tool("sunnyside-figma", "apply_token_change", { simulationId: "sim-123" }); - Re-extract from Figma plugin to see changes
Plugin Shows "Failed to Send Data"
Cause: MCP server not running or wrong port.
Solution:
- Verify server is running:
npm start - Check console for
Server running on port 3333 - Plugin sends to hardcoded
localhost:3333— if using different port, update plugin code:// figma-dev-plugin/code.ts const response = await fetch('http://localhost:YOUR_PORT/plugin/extract', { method: 'POST', // ... });
Key Configuration Options
Environment Variables:
# Required
FIGMA_API_KEY=figd_your_token_here
# Optional
PORT=3333 # HTTP server port
OUTPUT_FORMAT=json # Response format (json | text)
FIGMA_DEV_MODE_URL=http://localhost:3845 # Official Dev Mode server
Plugin Configuration:
Edit figma-dev-plugin/manifest.json to adjust plugin metadata:
{
"name": "Sunnyside Dev Extractor",
"id": "your-plugin-id",
"api": "1.0.0",
"main": "code.js",
"ui": "ui.html",
"editorType": ["figma"]
}
Development Commands
npm run dev # Watch mode build (tsup)
npm run dev:cli # stdio development loop
npm run type-check # TypeScript validation
npm run lint # ESLint
npm test # Jest test suite
npm run inspect # Open MCP inspector UI
npm run build # Production build
Tool Selection Guide
| Goal | Use Tool | Why |
|---|---|---|
| Get comprehensive layer data | get_JSON | Single call returns layout, fills, variables, tokens, and CSS for all layers |
| Generate production component | get_tailwind_component or get_react_component | Ready-to-use code with styling |
| Audit design system | get_plugin_project_overview + track_design_system_health | Full project scan with token coverage |
| Plan token refactor | simulate_token_change → analyze_token_change_impact | Safe what-if analysis |
| Export assets headlessly | download_figma_images | Batch SVG/PNG export from file key |
| Use official Figma codegen | get_figma_dev_mode_code | Requires Pro plan, uses Figma's generator |
Plugin vs. REST API decision tree:
- Need Drafts support? → Plugin tools
- Headless automation? → REST API tools
- Highest CSS fidelity? → Plugin (uses native
getCSSAsync()) - Batch export many files? → REST API tools
Advanced: Token Registry Architecture
The token lifecycle tools maintain an in-memory registry:
// Internal structure (reference only)
interface TokenRegistry {
tokens: Map<string, {
value: any,
type: string,
path: string[]
}>,
dependencies: Map<string, Set<string>>, // token -> nodeIds
simulations: Map<string, {
changes: Array<{tokenPath, oldValue, newValue}>,
applied: boolean
}>
}
Query registry state:
const registry = await use_mcp_tool("sunnyside-figma", "debug_token_registry", {});
Build dependency graph:
const graph = await use_mcp_tool("sunnyside-figma", "build_dependency_graph", {
extractionId: "latest"
});
// Returns: { tokens: {...}, edges: [...] }
This enables surgical updates: when a token changes, only affected components need regeneration.
How can the creator link this skill?
Add the canonical catalog link to the repository README so users can inspect current installs and available audits. The publishing guide covers the complete discovery path.
<a href="https://skillzs.dev/skills/reason-machines/design-skills/sunnyside-figma-context-mcp">View sunnyside-figma-context-mcp on skillZs</a>