figma-mcp
MCP ServerFreeModelContextProtocol for Figma's REST API
Capabilities12 decomposed
figma document tree traversal and introspection
Medium confidenceExposes Figma's REST API document hierarchy through MCP tools, enabling programmatic access to file structure, layers, components, and design tokens. Works by wrapping Figma's GET /v1/files/{file_id} endpoint and parsing the hierarchical JSON response into queryable node structures with metadata about frame bounds, fill colors, typography, and component references.
Bridges Figma's REST API into MCP's standardized tool interface, allowing LLM agents to query design files without custom API client code. Uses MCP's resource-based architecture to expose Figma documents as queryable resources rather than one-off API calls.
Simpler than building custom Figma API integrations because MCP handles authentication, request formatting, and response parsing; more accessible to non-frontend developers than direct REST API calls.
component instance resolution and override tracking
Medium confidenceResolves component instances to their main component definitions and tracks applied overrides (property changes, nested swaps). Implemented by following Figma's componentId references through the document tree and comparing instance properties against the main component's defaults to identify which properties have been overridden.
Automatically maps component instances to their main definitions and extracts override deltas by comparing instance properties against component defaults — a pattern not exposed directly in Figma's UI, requiring API-level traversal.
More precise than manual component audits because it programmatically identifies all overrides; more efficient than Figma's built-in component search because it can filter by override patterns, not just component name.
constraint and responsive behavior extraction
Medium confidenceExtracts constraint rules (fixed/flexible width/height, left/right/center alignment) and responsive behavior metadata from Figma elements. Parses constraint properties to understand how elements resize relative to their parent, enabling responsive layout code generation.
Extracts Figma's constraint system (which defines how elements resize relative to parents) into structured format, enabling tools to generate responsive CSS that preserves design intent without manual constraint transcription.
More precise than manual constraint documentation because it extracts constraints programmatically; more useful than visual inspection because it captures all constraint rules in machine-readable format.
shadow and effect property extraction
Medium confidenceExtracts shadow, blur, and other visual effects from Figma elements, normalizing them to CSS or design token format. Works by parsing Figma's effects array (shadows, blurs, background blurs) and converting to standard CSS syntax or design token representations.
Normalizes Figma's effects system (shadows, blurs, background blurs) into CSS and design token formats, enabling tools to generate visual effects without manual conversion or approximation.
More accurate than manual effect transcription because it uses Figma's authoritative effect data; more flexible than static effect exports because it supports multiple output formats.
design token extraction and structured export
Medium confidenceExtracts design tokens (colors, typography, spacing, shadows) from Figma styles and component properties, normalizing them into structured JSON or CSS variable format. Works by parsing Figma's style definitions (fill colors, text styles, effects) and mapping them to token categories, then generating standardized output formats compatible with design token standards (Design Tokens Community Group format).
Normalizes Figma's style system (which uses hierarchical naming and mixed property types) into standardized token formats by parsing style metadata and applying configurable naming conventions and grouping rules.
More flexible than Figma's native export because it supports multiple output formats and can apply custom naming transformations; more reliable than manual token transcription because it's automated and version-controlled.
mcp tool registration and schema generation
Medium confidenceRegisters Figma API operations as MCP tools with auto-generated JSON schemas, enabling LLM agents to discover and call Figma capabilities through a standardized interface. Implemented by wrapping Figma REST endpoints with MCP's tool schema format, generating input/output schemas from Figma API specifications, and handling authentication transparently through MCP's credential management.
Implements MCP's tool registration pattern for Figma, automatically generating JSON schemas from Figma API specs and handling credential injection through MCP's standardized authentication flow — eliminating the need for agents to manage API keys or format requests manually.
More standardized than custom Figma API wrappers because it uses MCP's protocol, enabling compatibility with any MCP-aware agent; more discoverable than direct API calls because agents can introspect available tools and their schemas.
figma file and page enumeration with metadata
Medium confidenceLists accessible Figma files and pages with metadata (name, last modified, owner, thumbnail URL) by calling Figma's REST endpoints for team/project resources. Returns structured data about available design files, enabling agents or applications to discover and select files without hardcoding file IDs.
Exposes Figma's team/project resource hierarchy through MCP, allowing agents to dynamically discover files rather than requiring hardcoded file IDs — a pattern that enables flexible, multi-file workflows.
More flexible than hardcoded file IDs because it discovers files dynamically; more efficient than manual file selection because it can filter and sort by metadata programmatically.
frame and artboard boundary extraction
Medium confidenceExtracts bounding box coordinates, dimensions, and layout properties (auto-layout, constraints) for frames and artboards in a Figma file. Implemented by parsing the node tree and extracting x, y, width, height properties along with layout metadata, enabling spatial analysis and layout-aware code generation.
Extracts layout geometry and auto-layout rules from Figma's node properties, enabling downstream tools to understand spatial relationships without visual rendering — a pattern useful for layout-aware code generation.
More precise than visual analysis because it uses Figma's authoritative layout data; more efficient than screenshot-based layout detection because it works with structured data.
image and asset url resolution
Medium confidenceResolves image nodes and assets in Figma to their download URLs, enabling external tools to fetch design assets. Works by extracting image node IDs and calling Figma's image export endpoint to generate temporary signed URLs for asset retrieval.
Bridges Figma's image export API into MCP, generating signed URLs for asset retrieval and enabling downstream tools to fetch design assets without direct Figma access — a pattern useful for asset pipelines and CDN integration.
More scalable than manual asset export because it automates URL generation; more flexible than static asset exports because it can generate URLs on-demand with custom formats and scales.
text content and typography extraction
Medium confidenceExtracts text content, font families, sizes, weights, and line heights from text nodes in Figma designs. Implemented by traversing text nodes and parsing their style properties (fontSize, fontFamily, fontWeight, lineHeight, letterSpacing) into structured format, enabling typography-aware code generation and content extraction.
Parses Figma's text node properties to extract typography metadata alongside content, enabling tools to generate semantic HTML with proper typography without manual transcription.
More accurate than OCR-based text extraction because it uses Figma's authoritative text data; more complete than visual inspection because it captures all typography properties programmatically.
color and fill property extraction
Medium confidenceExtracts fill colors, gradients, and opacity values from design elements, normalizing them to standard color formats (hex, RGB, HSL). Works by parsing Figma's fill array and converting color values to multiple formats for compatibility with different code targets (CSS, Tailwind, design tokens).
Normalizes Figma's fill data (which can include solid colors, gradients, and image fills) into multiple standard formats, enabling downstream tools to use colors in different contexts without format conversion logic.
More flexible than static color exports because it supports multiple output formats; more accurate than visual color picking because it uses Figma's authoritative color data.
variant and variant group resolution
Medium confidenceIdentifies component variants and their property combinations, mapping variant properties to their values. Implemented by parsing Figma's variant metadata (variant properties like 'size', 'state', 'color') and resolving variant instances to their property combinations, enabling variant-aware code generation.
Resolves Figma's variant system into structured property mappings, enabling tools to understand variant combinations without manual enumeration — a pattern that scales to complex component systems with many variant properties.
More scalable than manual variant documentation because it extracts variant metadata programmatically; more accurate than visual inspection because it captures all variant combinations.
Capabilities are decomposed by AI analysis. Each maps to specific user intents and improves with match feedback.
Related Artifactssharing capabilities
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@iflow-mcp/figma-mcp
ModelContextProtocol server for Figma
Best For
- ✓Design system maintainers automating design-to-code workflows
- ✓AI agents that need to understand design structure before generating code
- ✓Teams building design-aware documentation generators
- ✓Design system teams enforcing component consistency
- ✓Code generators that need to preserve design intent through overrides
- ✓Design QA workflows checking for misused components
- ✓Design-to-code tools that need to preserve responsive intent
- ✓Teams documenting responsive design specifications
Known Limitations
- ⚠Read-only access to document structure — cannot modify designs through this capability
- ⚠Requires full file read permission; cannot scope to specific pages or components
- ⚠Large files (1000+ layers) may incur latency from Figma API response times
- ⚠No real-time sync — returns snapshot at query time, not live updates
- ⚠Cannot track override history or changes over time
- ⚠Nested component overrides require recursive traversal which adds latency
Requirements
Input / Output
UnfragileRank
UnfragileRank is computed from adoption signals, documentation quality, ecosystem connectivity, match graph feedback, and freshness. No artifact can pay for a higher rank.
Repository Details
Last commit: May 29, 2025
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ModelContextProtocol for Figma's REST API
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