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Uses Figma API's node tree structure to build a normalized representation of board layout, enabling agents to understand spatial organization, nesting depth, and element relationships without manual parsing of raw API responses.","intents":["I want to understand the hierarchical structure of a Figjam board (which elements are nested, grouped, or connected)","I need to extract all text content from a board while preserving its spatial/structural context","I want to identify specific element types (frames, shapes, connectors) and their properties for downstream processing"],"best_for":["AI agents analyzing Figjam boards for content extraction or summarization","Automation workflows that need to understand board organization before making modifications","Teams building Figjam-to-document or Figjam-to-code pipelines"],"limitations":["Traversal depth limited by Figma API response size; very large boards may require pagination","Element properties are read-only snapshots; dynamic properties (animations, interactions) not captured","Nested group hierarchies can produce deeply nested JSON structures, increasing parsing complexity","No filtering or query language — must traverse entire tree to find specific elements"],"requires":["Valid Figma API token with read access","Figjam file ID and board/frame ID","Sufficient API quota (each traversal consumes 1-N API calls depending on board size)"],"input_types":["Figjam file ID (string)","Frame/board ID (string)","Optional: element type filters (frame, shape, text, connector)"],"output_types":["Hierarchical JSON tree structure","Flattened element lists with path information","Element metadata (position, size, fill, stroke, text content)"],"categories":["data-processing-analysis","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm_npm-daanvanhulsenfigjam-mcp-server__cap_3","uri":"capability://text.generation.language.figjam.board.content.summarization.for.llm.context","name":"figjam board content summarization for llm context","description":"Transforms raw Figjam board state into concise, LLM-friendly summaries that preserve essential information (text content, structure, key elements) while reducing token overhead. Implements content filtering and formatting logic that extracts meaningful board context (sticky notes, text frames, connections) and presents it in a format optimized for LLM reasoning without overwhelming context windows.","intents":["I want to pass a Figjam board summary to an LLM without consuming excessive tokens","I need the AI to understand the key content and structure of a board without processing raw JSON","I want to extract actionable insights from a Figjam board using an LLM"],"best_for":["LLM agents working with Figjam boards as input context","Teams using Claude or other token-limited models to analyze Figjam content","Workflows that need to summarize board state before passing to downstream processing"],"limitations":["Summarization is lossy — visual layout, colors, and design details are discarded","Token reduction depends on board complexity; dense boards may still exceed context budgets","No customizable summarization rules — summary format is fixed by implementation","Cannot preserve non-text content (images, embedded files) in summary"],"requires":["Extracted Figjam board state (from hierarchy traversal capability)","Optional: token budget or summary length constraints"],"input_types":["Hierarchical board JSON","Element type filters (e.g., summarize only text and sticky notes)"],"output_types":["Plain text summary","Markdown-formatted summary","Structured summary with sections (content, structure, key elements)"],"categories":["text-generation-language","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm_npm-daanvanhulsenfigjam-mcp-server__cap_4","uri":"capability://search.retrieval.figjam.board.querying.and.element.filtering","name":"figjam board querying and element filtering","description":"Provides query capabilities to filter and retrieve specific elements from a Figjam board based on criteria (element type, text content, properties, spatial location). Implements filtering logic that works against the extracted board hierarchy, enabling agents to locate relevant elements without full tree traversal and reducing downstream processing overhead.","intents":["I want to find all sticky notes on a board that contain specific keywords","I need to retrieve all text frames in a specific area or frame of the board","I want to query elements by type (shapes, connectors, text) without processing the entire board"],"best_for":["AI agents that need to locate specific board elements for analysis or modification","Automation workflows that operate on subsets of board content","Teams building search or discovery features on top of Figjam boards"],"limitations":["Query language is limited — no complex boolean logic or regex support (likely)","Filtering is performed in-memory on extracted state; no server-side indexing for performance","Spatial queries (e.g., 'elements within bounds') require full tree traversal","No full-text search — text matching is likely exact or simple substring"],"requires":["Extracted Figjam board state","Query parameters (element type, text content, property values)"],"input_types":["Element type filters (string: 'frame', 'shape', 'text', 'connector')","Text content queries (string: exact match or substring)","Property filters (key-value pairs: fill color, stroke, size, etc.)"],"output_types":["Filtered element list (JSON array)","Element metadata with matching criteria highlighted","Count of matching elements"],"categories":["search-retrieval","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":30,"verified":false,"data_access_risk":"high","permissions":["Node.js 16+","Valid Figma API token with read access to target Figjam files","MCP-compatible client (Claude Desktop, custom MCP host, etc.)","Figjam file ID or board URL","Node.js 16+ with npm","npx available in PATH","Figma API token set as environment variable or passed via CLI","MCP-compatible client application","Valid Figma API token with read access","Figjam file ID and board/frame ID"],"failure_modes":["Read-only access — cannot modify board state through this capability","Requires valid Figma API token with Figjam file access permissions","Board state is point-in-time snapshot; no real-time streaming or change subscriptions","MCP protocol overhead adds ~100-300ms latency per request depending on board complexity","Single-process server — no built-in clustering or horizontal scaling","Stdio-based communication limits throughput for high-frequency requests","No persistent state or caching — each invocation starts fresh","Requires Node.js runtime; cannot run in browser or serverless environments without adaptation","Traversal depth limited by Figma API response size; very large boards may require pagination","Element properties are read-only snapshots; dynamic properties (animations, interactions) not captured","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.05,"quality":0.2,"ecosystem":0.45,"match_graph":0.25,"freshness":0.9,"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":"2026-05-24T12:16:23.903Z","last_scraped_at":"2026-04-22T08:10:20.709Z","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=npm-daanvanhulsenfigjam-mcp-server","compare_url":"https://unfragile.ai/compare?artifact=npm-daanvanhulsenfigjam-mcp-server"}},"signature":"s8+Nucyvt8j0BgQjm5YZyw8I8joCtTQ170Xu7o/KkE7HihxFssgoivvc5yZmMhAIyw7TwxzpEZgYRqg0WcqhDQ==","signedAt":"2026-06-16T21:05:54.817Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/npm-daanvanhulsenfigjam-mcp-server","artifact":"https://unfragile.ai/npm-daanvanhulsenfigjam-mcp-server","verify":"https://unfragile.ai/api/v1/verify?slug=npm-daanvanhulsenfigjam-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"}}