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Queries the Figma API to surface component definitions, variant configurations, and property schemas, enabling programmatic discovery of design system components and their configuration options without manual inspection.","intents":["I need to generate code stubs or documentation for all components in our design system","I want to audit which component variants exist and how they're configured","I need to map Figma component properties to React component props or design token references"],"best_for":["Design system maintainers automating component documentation","Frontend teams generating component libraries from Figma","Design-to-code automation platforms"],"limitations":["Component metadata is only available for published components in team libraries","Variant property schemas may not fully capture all design intent (e.g., custom logic)","No support for querying component usage across files","Requires team library access — local file components are not indexed"],"requires":["Figma API token with team library access","Published components in a Figma team library","Figma Professional or higher plan for advanced component features"],"input_types":["Team ID or file ID (string)","optional: component name or ID filter"],"output_types":["JSON array of component definitions","variant configuration objects","property schema definitions"],"categories":["tool-use-integration","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"figma-mcp-server__cap_2","uri":"capability://data.processing.analysis.design.token.extraction.and.semantic.value.mapping","name":"design token extraction and semantic value mapping","description":"Extracts design tokens (colors, typography, spacing, shadows) from Figma files and maps them to semantic names and values. Parses Figma's token plugin format or custom naming conventions to surface design tokens as structured data, enabling synchronization with code-based token systems (CSS variables, design token JSON, etc.).","intents":["I need to sync Figma design tokens to my codebase's CSS variables or token JSON files","I want to audit which tokens are defined in Figma and detect unused or conflicting tokens","I need to generate a design token reference document from Figma"],"best_for":["Design system teams maintaining token parity between Figma and code","Teams automating design token synchronization workflows","Developers building design token documentation generators"],"limitations":["Token extraction depends on consistent naming conventions or Figma Tokens plugin format","No built-in support for token aliasing or computed values","Token values are extracted as static snapshots — no real-time sync","Requires manual setup of token naming patterns or plugin integration"],"requires":["Figma API token","Design tokens defined in Figma (via naming convention or Tokens plugin)","Optional: Figma Tokens plugin for structured token format"],"input_types":["Figma file ID (string)","optional: token category filter (colors, typography, spacing)"],"output_types":["JSON object with token names and values","CSS variable declarations","design token JSON format (compatible with Style Dictionary)"],"categories":["data-processing-analysis","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"figma-mcp-server__cap_3","uri":"capability://tool.use.integration.frame.and.layer.property.querying.with.filtered.selection","name":"frame and layer property querying with filtered selection","description":"Queries properties of specific frames, layers, and design elements within a Figma file, including dimensions, positioning, fill colors, stroke properties, text content, and constraints. Implements filtered selection logic to retrieve properties for named layers or layers matching criteria, returning structured property objects without requiring manual layer navigation.","intents":["I need to extract the exact dimensions and positioning of a specific frame for responsive design calculations","I want to programmatically read text content from Figma layers to populate a content management system","I need to audit fill colors and stroke properties across a design file to detect inconsistencies"],"best_for":["Developers automating design-to-code property extraction","Teams building design audit or compliance tools","Automation workflows that need precise layer measurements"],"limitations":["Property queries return static snapshots — no real-time updates when Figma file changes","Complex computed properties (e.g., effective fill color with opacity) require client-side calculation","No support for querying animation or interaction properties","Layer selection is limited to exact name matches or simple filters — no regex or complex queries"],"requires":["Figma API token with file read permissions","Figma file ID and layer/frame name or ID"],"input_types":["Figma file ID (string)","layer name or ID (string)","optional: property filter (dimensions, colors, text, etc.)"],"output_types":["JSON object with layer properties","numeric values for dimensions and positioning","color values in multiple formats (hex, RGB, HSL)"],"categories":["tool-use-integration","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"figma-mcp-server__cap_4","uri":"capability://tool.use.integration.mcp.tool.registration.and.schema.based.function.calling","name":"mcp tool registration and schema-based function calling","description":"Registers Figma API operations as MCP tools with JSON schema definitions, enabling Claude and other MCP clients to discover and invoke Figma operations through standardized function calling. Implements schema validation and parameter marshaling to translate MCP tool calls into Figma API requests, with error handling and response transformation.","intents":["I want Claude to help me explore and query my Figma files without writing API code","I need to build an agent that can autonomously extract design information from Figma","I want to integrate Figma queries into a larger LLM-based workflow or automation"],"best_for":["LLM application developers building design-aware agents","Teams using Claude or other MCP clients to automate design workflows","Developers building multi-tool orchestration systems"],"limitations":["Tool discovery and invocation depends on MCP client support — not all LLM clients support MCP","Schema validation adds latency to each tool call (typically <50ms)","Error messages from Figma API are passed through without normalization — may be cryptic","No built-in retry logic for transient API failures"],"requires":["MCP-compatible client (Claude, custom MCP client, etc.)","Figma API token","Node.js runtime for MCP server"],"input_types":["MCP tool call with JSON parameters","schema-validated function arguments"],"output_types":["JSON response from Figma API","structured tool result for MCP client"],"categories":["tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"figma-mcp-server__cap_5","uri":"capability://tool.use.integration.figma.api.authentication.and.token.management","name":"figma api authentication and token management","description":"Handles Figma API authentication via personal access tokens or OAuth, managing token lifecycle and API request signing. Implements token validation and error handling for authentication failures, enabling secure access to Figma resources without exposing credentials in client code.","intents":["I need to securely authenticate with Figma API without hardcoding credentials","I want to validate that my Figma token is valid before running automated workflows","I need to handle authentication errors gracefully in my automation"],"best_for":["Teams deploying Figma MCP server in production environments","Developers building secure design automation workflows","Organizations with credential management requirements"],"limitations":["Only supports personal access tokens and OAuth — no service account authentication","Token validation requires a live API call — no offline validation","No built-in token refresh or rotation — requires manual token updates","Credentials must be provided via environment variables or configuration — no secure vault integration"],"requires":["Figma personal access token or OAuth credentials","Environment variable configuration (FIGMA_TOKEN or similar)"],"input_types":["Figma API token (string)"],"output_types":["authentication status (valid/invalid)","error messages for failed authentication"],"categories":["tool-use-integration","safety-moderation"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"figma-mcp-server__cap_6","uri":"capability://tool.use.integration.batch.file.and.resource.querying.with.pagination.support","name":"batch file and resource querying with pagination support","description":"Supports querying multiple Figma files or resources in a single operation with pagination handling for large result sets. Implements batching logic to reduce API calls and pagination to handle Figma API limits, enabling efficient bulk operations without manual pagination handling.","intents":["I need to extract data from multiple Figma files in a single workflow","I want to query a large number of components or layers without hitting API rate limits","I need to process design data in batches for performance optimization"],"best_for":["Teams managing multiple design files or design systems","Developers building large-scale design data extraction pipelines","Automation workflows that process hundreds of design assets"],"limitations":["Batch operations are limited by Figma API rate limits (typically 120 requests per minute)","Pagination is handled transparently but may add latency for large result sets","No built-in parallelization — batch queries are sequential","Memory usage scales with result set size — very large batches may exceed available memory"],"requires":["Figma API token","Multiple Figma file IDs or resource identifiers"],"input_types":["array of Figma file IDs or resource identifiers","optional: pagination parameters (limit, offset)"],"output_types":["JSON array of results","pagination metadata (total count, next page token)"],"categories":["tool-use-integration","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"figma-mcp-server__cap_7","uri":"capability://tool.use.integration.error.handling.and.api.response.normalization","name":"error handling and api response normalization","description":"Normalizes Figma API responses and errors into consistent formats, translating API-specific error codes into human-readable messages. Implements retry logic for transient failures and graceful degradation for partial failures, enabling robust automation workflows that handle API instability.","intents":["I need my automation to handle Figma API errors gracefully without crashing","I want clear error messages when Figma API calls fail","I need to retry failed requests automatically without manual intervention"],"best_for":["Teams running production design automation workflows","Developers building resilient design integration systems","Automation that needs to handle transient API failures"],"limitations":["Retry logic uses exponential backoff with fixed maximum retries — not configurable","Error messages are normalized but may lose API-specific debugging information","Partial failures in batch operations are not granular — entire batch may fail","No circuit breaker pattern — repeated failures will continue retrying until timeout"],"requires":["Figma API token","Network connectivity to Figma API"],"input_types":["Figma API responses (success or error)"],"output_types":["normalized response object","human-readable error messages","retry status and metadata"],"categories":["tool-use-integration","safety-moderation"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"figma-mcp-server__cap_8","uri":"capability://data.processing.analysis.design.file.metadata.and.version.tracking","name":"design file metadata and version tracking","description":"Retrieves metadata about Figma files including creation date, last modified date, owner, collaborators, and version history. Enables tracking of design file changes and ownership without manual inspection, supporting audit trails and change detection workflows.","intents":["I need to track when design files were last updated to ensure design-to-code sync is current","I want to identify the owner of a design file for collaboration or approval workflows","I need to detect changes to design files to trigger automated design-to-code pipelines"],"best_for":["Teams automating design-to-code pipelines with change detection","Organizations tracking design file ownership and collaboration","Design systems teams monitoring file update frequency"],"limitations":["Version history is limited to recent versions; full historical audit trail requires Figma's version history API which has pagination limits","Collaborator list includes only current collaborators; historical contributor tracking is not available","No real-time change notifications; requires polling to detect updates"],"requires":["Figma API token with read access","Valid Figma file ID"],"input_types":["file_id (string)"],"output_types":["JSON object with file metadata (created, modified, owner, collaborators)","Version history array with timestamps and version IDs"],"categories":["data-processing-analysis","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"figma-mcp-server__cap_9","uri":"capability://image.visual.image.and.asset.export.from.design.frames","name":"image and asset export from design frames","description":"Exports images and assets from Figma frames and components by generating export URLs via the Figma API and optionally downloading exported assets. Supports multiple export formats (PNG, SVG, PDF) and scales, enabling design-to-asset pipelines without manual export from Figma UI.","intents":["I need to export component previews as images for documentation generation","I want to extract SVG assets from Figma components for use in code","I need to generate responsive image assets at multiple scales for web deployment"],"best_for":["Design-to-code tool builders automating asset export","Teams generating design documentation with component previews","Organizations automating design asset pipelines"],"limitations":["Export URLs are temporary (expire after ~24 hours); requires immediate download or caching","SVG export from Figma may include Figma-specific metadata; post-processing may be required for production use","Large exports (high-resolution images, complex SVGs) can be slow; no streaming or chunked download support"],"requires":["Figma API token with read access","Valid Figma file ID and frame/component IDs","Optional: local storage for downloaded assets"],"input_types":["file_id (string)","node_ids (array of frame/component IDs)","format (png, svg, pdf)","optional: scale (1, 2, 3, etc.)"],"output_types":["Export URLs (temporary, expire in ~24 hours)","Downloaded asset files (PNG, SVG, PDF)","Base64-encoded image data"],"categories":["image-visual","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"figma-mcp-server__headline","uri":"capability://tool.use.integration.figma.mcp.server.for.design.integration","name":"figma mcp server for design integration","description":"A community-driven MCP server designed for seamless integration with the Figma design platform, enabling users to read file structures, extract component data, and access design tokens efficiently.","intents":["best MCP server for Figma","MCP server for design token extraction","how to integrate Figma with MCP","community MCP server for UI design","tools for querying Figma layers"],"best_for":["Figma users","UI designers"],"limitations":[],"requires":[],"input_types":[],"output_types":[],"categories":["tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":63,"verified":false,"data_access_risk":"high","permissions":["Figma API token (personal or OAuth)","Figma file ID (accessible from file URL)","Network connectivity to Figma API endpoints","Figma API token with team library access","Published components in a Figma team library","Figma Professional or higher plan for advanced component features","Figma API token","Design tokens defined in Figma (via naming convention or Tokens plugin)","Optional: Figma Tokens plugin for structured token format","Figma API token with file read permissions"],"failure_modes":["Requires valid Figma API token with file read permissions","Large files (1000+ layers) may incur API rate limiting","Tree traversal is synchronous and may block on deeply nested structures","No caching layer — each query hits the Figma API directly","Component metadata is only available for published components in team libraries","Variant property schemas may not fully capture all design intent (e.g., custom logic)","No support for querying component usage across files","Requires team library access — local file components are not indexed","Token extraction depends on consistent naming conventions or Figma Tokens plugin format","No built-in support for token aliasing or computed values","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.7,"quality":0.9,"ecosystem":0.52,"match_graph":0.25,"freshness":0.75,"weights":{"adoption":0.25,"quality":0.25,"ecosystem":0.15,"match_graph":0.23,"freshness":0.12}},"observed_outcomes":{"matches":0,"success_rate":0,"avg_confidence":0,"top_intents":[],"last_matched_at":null},"maintenance":{"status":"active","updated_at":"2026-06-17T09:51:04.691Z","last_scraped_at":null,"last_commit":null},"community":{"stars":null,"forks":null,"weekly_downloads":null,"model_downloads":null,"model_likes":null}},"distribution":{"claim_url":"https://unfragile.ai/submit?claim=figma-mcp-server","compare_url":"https://unfragile.ai/compare?artifact=figma-mcp-server"}},"signature":"hNeZ8dVUr2TgY8kUmj1oOWizhTwgNunTIYUXgiKl4cwbOy3wTvy1rrmUjUhkd8f3J+oCiC27fxQdjZMEnq+TDw==","signedAt":"2026-06-22T14:34:05.566Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/figma-mcp-server","artifact":"https://unfragile.ai/figma-mcp-server","verify":"https://unfragile.ai/api/v1/verify?slug=figma-mcp-server","publicKey":"https://unfragile.ai/api/v1/trust-passport-public-key","spec":"https://unfragile.ai/trust","schema":"https://unfragile.ai/schema.json","docs":"https://unfragile.ai/docs"}}