{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"github-grab--cursor-talk-to-figma-mcp","slug":"grab--cursor-talk-to-figma-mcp","name":"cursor-talk-to-figma-mcp","type":"mcp","url":"https://www.figma.com/community/plugin/1485687494525374295/cursor-talk-to-figma-mcp-plugin","page_url":"https://unfragile.ai/grab--cursor-talk-to-figma-mcp","categories":["mcp-servers","app-builders"],"tags":["agent","agentic","agentic-ai","ai","ai-agents","automation","cursor","design","figma","generative-ai","llm","llms","mcp","model-context-protocol"],"pricing":{"model":"open_source","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"github-grab--cursor-talk-to-figma-mcp__cap_0","uri":"capability://tool.use.integration.mcp.based.agentic.tool.exposure.for.figma.design.operations","name":"mcp-based agentic tool exposure for figma design operations","description":"Exposes 40+ design manipulation tools to Cursor AI and Claude Code through the Model Context Protocol (MCP) standard, implementing a schema-validated request-response pipeline with Zod validation. The MCP server (src/talk_to_figma_mcp/server.ts) acts as the interface layer, translating natural language agent intents into structured tool calls that are routed via WebSocket to the Figma plugin for execution. This enables AI agents to treat Figma operations as native capabilities without custom API wrappers.","intents":["I want my AI agent to directly manipulate Figma designs without writing custom API integration code","I need to expose Figma operations as callable tools that Claude or Cursor can invoke","I want standardized, schema-validated tool definitions for design automation tasks"],"best_for":["AI agent developers building design automation workflows in Cursor or Claude Code","teams integrating Figma into agentic AI pipelines","developers who want MCP-compliant tool exposure without custom protocol implementation"],"limitations":["Tools are only accessible through MCP-compatible AI agents (Cursor, Claude Code); no REST API fallback","Schema validation adds ~50-100ms per tool invocation due to Zod parsing","Concurrent tool execution is limited by WebSocket channel capacity and Figma plugin single-threaded execution"],"requires":["Cursor IDE or Claude Code with MCP support enabled","Figma account with plugin installation permissions","Node.js 18+ or Bun runtime for MCP server","WebSocket connectivity between MCP server and Figma plugin"],"input_types":["natural language agent instructions","structured tool parameters (JSON schema-validated)","file IDs, node IDs, and design element references"],"output_types":["tool execution results (JSON)","design state snapshots","error messages with validation details"],"categories":["tool-use-integration","agentic-ai"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-grab--cursor-talk-to-figma-mcp__cap_1","uri":"capability://tool.use.integration.websocket.based.real.time.bidirectional.communication.with.channel.routing","name":"websocket-based real-time bidirectional communication with channel routing","description":"Implements a channel-based WebSocket bridge (src/socket.ts) that manages real-time communication between the MCP server and Figma plugin using UUID-based request tracking and channel-based routing. Each client joins a named channel before exchanging messages, enabling multiple concurrent sessions with proper request-response matching. The system provides progress updates for long-running operations and comprehensive error handling with detailed validation reporting.","intents":["I need real-time communication between my AI agent and Figma without polling or REST latency","I want to support multiple concurrent design automation sessions with proper request isolation","I need progress feedback for long-running design operations"],"best_for":["teams requiring sub-second latency for design modifications","multi-user environments where concurrent Figma sessions must be isolated","applications needing real-time progress feedback during bulk design operations"],"limitations":["WebSocket connections require persistent network connectivity; no automatic reconnection with state recovery","Channel-based routing adds ~20-30ms overhead per message due to channel lookup and UUID matching","Maximum concurrent channels limited by server memory and Figma plugin event loop capacity","No built-in message persistence; lost connections drop pending requests"],"requires":["WebSocket server infrastructure (included in MCP server)","Network connectivity between MCP server and Figma plugin","Figma plugin with WebSocket client implementation","UUID generation library for request tracking"],"input_types":["WebSocket messages (JSON-encoded)","channel names (string identifiers)","request payloads with UUID tracking"],"output_types":["response messages with matching UUIDs","progress update events","error messages with request context"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-grab--cursor-talk-to-figma-mcp__cap_10","uri":"capability://safety.moderation.error.handling.and.validation.with.zod.schema.enforcement","name":"error handling and validation with zod schema enforcement","description":"Implements comprehensive error handling and input validation using Zod schemas for all tool parameters and responses. The system validates requests before execution, provides detailed error messages with validation context, and ensures type safety across the MCP-plugin communication boundary. Validation failures are reported with specific field errors and suggestions.","intents":["I want robust validation of tool parameters before execution","I need detailed error messages that help debug invalid requests","I want type safety across the MCP server and plugin communication"],"best_for":["teams building reliable design automation workflows","developers debugging tool invocation issues","systems requiring strict input validation and error reporting"],"limitations":["Validation adds ~50-100ms latency per tool invocation","Error messages are Zod-specific; may not be user-friendly for non-technical users","Validation is strict; no automatic type coercion or lenient parsing","Complex nested schemas may produce verbose error messages"],"requires":["Zod library for schema definition and validation","Tool parameter schemas defined in MCP server"],"input_types":["tool parameters (any type)","response objects"],"output_types":["validation success/failure status","detailed error messages with field context","type-safe validated data"],"categories":["safety-moderation","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-grab--cursor-talk-to-figma-mcp__cap_11","uri":"capability://automation.workflow.bun.runtime.optimization.with.native.typescript.support","name":"bun runtime optimization with native typescript support","description":"Leverages Bun runtime for fast JavaScript execution with native TypeScript support, enabling rapid development and deployment without transpilation overhead. The MCP server is built on Bun, providing performance benefits for WebSocket communication and tool execution. TypeScript is used throughout for type safety without requiring separate build steps.","intents":["I want fast MCP server performance without Node.js overhead","I need native TypeScript support without build configuration","I want rapid development and deployment cycles"],"best_for":["teams prioritizing performance and development speed","projects with TypeScript-first development","deployments where startup time and memory usage matter"],"limitations":["Bun is newer and less mature than Node.js; some npm packages may have compatibility issues","Bun-specific APIs may not be portable to Node.js without changes","Community and third-party tool support is smaller than Node.js ecosystem","Deployment infrastructure may not have Bun pre-installed; requires custom Docker images"],"requires":["Bun runtime (0.x or later)","TypeScript 4.5+ for type definitions"],"input_types":["TypeScript source files"],"output_types":["compiled JavaScript execution"],"categories":["automation-workflow","code-generation-editing"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-grab--cursor-talk-to-figma-mcp__cap_2","uri":"capability://automation.workflow.bulk.content.management.with.batch.text.and.annotation.updates","name":"bulk content management with batch text and annotation updates","description":"Provides batch operation tools (set_multiple_text_contents, set_multiple_annotations) that efficiently update multiple text nodes and annotations in a single operation, reducing round-trip latency and improving performance for large-scale content modifications. The implementation uses Figma's batch API capabilities to apply changes atomically, ensuring consistency across multiple design elements.","intents":["I need to update text content across 50+ design elements without making individual API calls","I want to batch-update annotations and metadata across a design system","I need atomic updates that either succeed completely or fail without partial state"],"best_for":["design system managers performing bulk content updates","teams automating localization or content synchronization","workflows updating multiple component instances with consistent data"],"limitations":["Batch operations are limited by Figma's API payload size (~10MB per request)","No transaction rollback; partial failures may leave inconsistent state if individual updates fail","Batch size impacts execution time; very large batches (1000+ items) may timeout","Updates are applied sequentially within Figma, not truly parallel"],"requires":["Array of node IDs with corresponding text content or annotation values","Valid Figma file access with edit permissions","Figma plugin with batch operation support"],"input_types":["array of objects with nodeId and textContent fields","array of objects with nodeId and annotation key-value pairs"],"output_types":["success/failure status for each update","updated node references","error details for failed updates"],"categories":["automation-workflow","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-grab--cursor-talk-to-figma-mcp__cap_3","uri":"capability://automation.workflow.component.instance.override.propagation.and.synchronization","name":"component instance override propagation and synchronization","description":"Enables transfer of design overrides between component instances using get_instance_overrides and set_instance_overrides tools, allowing AI agents to read override states from one instance and apply them to others. This capability supports design system workflows where component variations need to be synchronized or propagated across multiple instances without manual duplication.","intents":["I want to copy component overrides from one instance to another programmatically","I need to synchronize design variations across multiple component instances","I want to automate component variant propagation in my design system"],"best_for":["design system teams managing component variants at scale","workflows automating design consistency across multiple pages","teams building design-to-code pipelines that need variant information"],"limitations":["Override propagation only works within the same component family; cross-component transfers are not supported","Complex nested overrides may not transfer correctly if target instance has different structure","No validation that target instance is compatible with source overrides before application","Overrides are applied as-is; no transformation or mapping between different component versions"],"requires":["Valid component instance node IDs","Instances must belong to the same component or compatible component family","Figma file with component library access"],"input_types":["source component instance node ID","target component instance node IDs","override key-value pairs"],"output_types":["override state object (keys and values)","success/failure status per target instance","error details for incompatible overrides"],"categories":["automation-workflow","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-grab--cursor-talk-to-figma-mcp__cap_4","uri":"capability://automation.workflow.prototype.flow.visualization.with.reaction.based.connection.mapping","name":"prototype flow visualization with reaction-based connection mapping","description":"Converts Figma prototype flows to visual connector lines using get_reactions and create_connections tools, enabling AI agents to read prototype interaction definitions and programmatically create visual representations of flow logic. The system reads Figma's reaction objects (which define prototype interactions) and translates them into visual connectors that show the flow relationships.","intents":["I want to visualize Figma prototype flows as diagrams or flowcharts","I need to programmatically create visual connections between prototype states","I want to extract and analyze prototype interaction logic as structured data"],"best_for":["teams generating documentation from Figma prototypes","workflows creating flow diagrams from interaction definitions","design teams analyzing prototype complexity and interaction patterns"],"limitations":["Only reads reactions defined in Figma prototypes; custom interactions outside Figma's reaction system are not captured","Visual connector creation is limited to simple line-based representations; complex flow diagrams require post-processing","Reaction data structure is Figma-specific; mapping to external flow formats requires custom transformation","No support for conditional logic or dynamic prototype flows"],"requires":["Figma file with prototype interactions defined","Valid node IDs for prototype frames and components","Figma plugin with reaction API access"],"input_types":["node IDs for prototype frames","reaction objects from Figma API"],"output_types":["reaction data structure (trigger, action, destination)","visual connector objects (source, target, interaction type)","flow graph representation"],"categories":["automation-workflow","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-grab--cursor-talk-to-figma-mcp__cap_5","uri":"capability://automation.workflow.auto.layout.property.management.and.programmatic.layout.automation","name":"auto-layout property management and programmatic layout automation","description":"Provides tools for programmatic management of auto-layout properties, spacing, and positioning within Figma frames. The system allows AI agents to read current layout configurations (direction, spacing, padding) and modify them atomically, enabling design automation workflows that adjust layouts based on content or design requirements without manual frame configuration.","intents":["I want to automatically adjust frame spacing and padding based on content changes","I need to convert static layouts to auto-layout or modify auto-layout properties programmatically","I want to automate responsive layout adjustments across multiple frames"],"best_for":["design system teams automating layout consistency","workflows generating responsive designs programmatically","teams building design-to-code pipelines that need layout information"],"limitations":["Auto-layout changes may cause cascading layout recalculations that impact performance on large frames","Complex nested auto-layouts may have unexpected behavior when properties are modified programmatically","No preview of layout changes before application; changes are applied immediately","Limited to Figma's auto-layout constraints; custom layout logic cannot be expressed"],"requires":["Valid frame node IDs","Figma file with auto-layout support","Understanding of Figma's auto-layout property model"],"input_types":["frame node ID","layout properties (direction, spacing, padding, alignment)","child element constraints"],"output_types":["updated layout configuration","affected child element positions","layout recalculation results"],"categories":["automation-workflow","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-grab--cursor-talk-to-figma-mcp__cap_6","uri":"capability://data.processing.analysis.document.and.selection.state.introspection.with.hierarchical.node.traversal","name":"document and selection state introspection with hierarchical node traversal","description":"Provides tools for reading Figma document structure and current selection state, enabling AI agents to understand the design hierarchy, node properties, and current context. The system supports hierarchical node traversal to explore parent-child relationships and extract metadata about design elements, allowing agents to make context-aware decisions about which elements to modify.","intents":["I want my AI agent to understand the current Figma document structure and selection","I need to traverse the design hierarchy to find specific elements or patterns","I want to extract metadata about design elements to inform automation decisions"],"best_for":["AI agents that need context awareness about design structure","workflows that search for specific elements or patterns in designs","teams building design analysis and reporting tools"],"limitations":["Large documents (1000+ nodes) may have slow traversal performance due to recursive hierarchy walking","Selection state is read-only; cannot programmatically change selection from MCP tools","Node metadata is limited to Figma's exposed properties; internal rendering data is not accessible","Traversal is synchronous; no streaming or pagination for large hierarchies"],"requires":["Valid Figma file ID","Figma plugin with document API access","Node IDs for starting traversal points"],"input_types":["file ID","node ID (optional, for subtree traversal)","filter criteria (node type, properties)"],"output_types":["node hierarchy tree","node metadata (name, type, properties, bounds)","selection state object","parent-child relationship map"],"categories":["data-processing-analysis","memory-knowledge"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-grab--cursor-talk-to-figma-mcp__cap_7","uri":"capability://automation.workflow.text.styling.and.typography.property.modification","name":"text styling and typography property modification","description":"Exposes tools for reading and modifying text styling properties including font family, size, weight, color, line height, and letter spacing. The system allows AI agents to apply consistent typography across multiple text elements, enabling design system enforcement and automated style updates without manual text property adjustment.","intents":["I want to update font properties across multiple text elements consistently","I need to enforce design system typography rules programmatically","I want to automate text styling based on content or design requirements"],"best_for":["design system teams enforcing typography consistency","workflows automating text styling across designs","teams building design-to-code pipelines that need typography data"],"limitations":["Font availability depends on Figma's font library; custom fonts may not be accessible","Complex text formatting (mixed styles within single text node) cannot be modified at sub-text level","Color values are limited to Figma's color format; no direct hex or RGB conversion","Line height and letter spacing have Figma-specific units that may not map directly to CSS"],"requires":["Valid text node IDs","Font names that exist in Figma's font library","Figma file with text styling support"],"input_types":["text node ID","typography properties (font, size, weight, color, line height, letter spacing)"],"output_types":["updated text properties","applied style information","error details for unsupported fonts or values"],"categories":["automation-workflow","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-grab--cursor-talk-to-figma-mcp__cap_8","uri":"capability://automation.workflow.content.creation.with.shape.frame.and.component.instantiation","name":"content creation with shape, frame, and component instantiation","description":"Provides tools for creating new design elements including shapes, frames, and component instances programmatically. The system allows AI agents to instantiate design elements with specified properties, enabling automated design generation workflows that create layouts, components, and visual structures based on data or design rules.","intents":["I want to programmatically create frames and shapes based on design specifications","I need to instantiate component instances with specific overrides","I want to generate design layouts automatically from data or templates"],"best_for":["teams automating design generation from data or specifications","workflows creating design system instances programmatically","design-to-code pipelines that need to generate intermediate designs"],"limitations":["Created elements are added to the current page; no control over page placement or layer ordering","Complex nested structures require multiple sequential create calls; no batch creation","Component instantiation requires valid component IDs; cannot create new components programmatically","No support for creating custom shapes or paths; limited to Figma's built-in shape types"],"requires":["Valid parent frame or page node ID","Component IDs for component instantiation","Figma file with edit permissions"],"input_types":["element type (shape, frame, component instance)","properties (name, position, size, fill, stroke)","component ID and overrides (for component instances)"],"output_types":["created node ID","element properties","placement information"],"categories":["automation-workflow","code-generation-editing"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-grab--cursor-talk-to-figma-mcp__cap_9","uri":"capability://tool.use.integration.figma.plugin.lifecycle.management.and.connection.state.handling","name":"figma plugin lifecycle management and connection state handling","description":"Manages the Figma plugin lifecycle including installation, connection establishment, and UI state management (src/cursor_mcp_plugin/code.js). The plugin provides a connection UI that allows users to establish WebSocket connections to the MCP server, handles authentication/pairing, and maintains connection state. The system supports graceful disconnection and reconnection with proper cleanup.","intents":["I need to set up and manage the Figma plugin connection to the MCP server","I want to handle plugin installation and initial pairing with the AI agent","I need to monitor and manage plugin connection state and errors"],"best_for":["users installing and configuring the Figma plugin","teams managing plugin deployment and updates","developers debugging plugin connection issues"],"limitations":["Plugin UI is limited to Figma's plugin panel; no full-screen or modal dialogs","Connection state is not persisted across plugin restarts; reconnection requires manual action","No built-in authentication; connection relies on network accessibility and WebSocket availability","Plugin updates require Figma Community approval; no automatic update mechanism"],"requires":["Figma account with plugin installation permissions","MCP server running and accessible at configured address","WebSocket connectivity between Figma and MCP server"],"input_types":["MCP server address and port","channel name for WebSocket connection"],"output_types":["connection status (connected/disconnected)","error messages","plugin UI state"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":53,"verified":false,"data_access_risk":"high","permissions":["Cursor IDE or Claude Code with MCP support enabled","Figma account with plugin installation permissions","Node.js 18+ or Bun runtime for MCP server","WebSocket connectivity between MCP server and Figma plugin","WebSocket server infrastructure (included in MCP server)","Network connectivity between MCP server and Figma plugin","Figma plugin with WebSocket client implementation","UUID generation library for request tracking","Zod library for schema definition and validation","Tool parameter schemas defined in MCP server"],"failure_modes":["Tools are only accessible through MCP-compatible AI agents (Cursor, Claude Code); no REST API fallback","Schema validation adds ~50-100ms per tool invocation due to Zod parsing","Concurrent tool execution is limited by WebSocket channel capacity and Figma plugin single-threaded execution","WebSocket connections require persistent network connectivity; no automatic reconnection with state recovery","Channel-based routing adds ~20-30ms overhead per message due to channel lookup and UUID matching","Maximum concurrent channels limited by server memory and Figma plugin event loop capacity","No built-in message persistence; lost connections drop pending requests","Validation adds ~50-100ms latency per tool invocation","Error messages are Zod-specific; may not be user-friendly for non-technical users","Validation is strict; no automatic type coercion or lenient parsing","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.622372556548745,"quality":0.49,"ecosystem":0.7000000000000001,"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":"2026-05-24T12:16:21.550Z","last_scraped_at":"2026-05-03T13:56:59.048Z","last_commit":"2026-04-29T11:05:19Z"},"community":{"stars":6722,"forks":727,"weekly_downloads":null,"model_downloads":null,"model_likes":null}},"distribution":{"claim_url":"https://unfragile.ai/submit?claim=grab--cursor-talk-to-figma-mcp","compare_url":"https://unfragile.ai/compare?artifact=grab--cursor-talk-to-figma-mcp"}},"signature":"Vl50pfX4gh/Q/IRNtsueg+wgvWloBZN2LRe6ZRxLoL8qmOnmGOBIqddlNFuB5OVH9om2dg0Mv/cxBk8G3URKCQ==","signedAt":"2026-06-22T08:31:50.461Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/grab--cursor-talk-to-figma-mcp","artifact":"https://unfragile.ai/grab--cursor-talk-to-figma-mcp","verify":"https://unfragile.ai/api/v1/verify?slug=grab--cursor-talk-to-figma-mcp","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"}}