{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"smithery_hustcc-mcp-mermaid","slug":"hustcc-mcp-mermaid","name":"Mermaid Diagram Generator","type":"repo","url":"https://mermaid.js.org/","page_url":"https://unfragile.ai/hustcc-mcp-mermaid","categories":["frameworks-sdks"],"tags":["mcp","model-context-protocol","smithery:hustcc/mcp-mermaid"],"pricing":{"model":"open_source","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"smithery_hustcc-mcp-mermaid__cap_0","uri":"capability://text.generation.language.ai.assisted.mermaid.diagram.generation.from.natural.language","name":"ai-assisted mermaid diagram generation from natural language","description":"Converts natural language descriptions into valid Mermaid diagram syntax through multi-round AI interactions, leveraging LLM reasoning to parse user intent and generate syntactically correct diagram code. The system validates Mermaid syntax before rendering and iteratively refines diagrams based on user feedback, maintaining context across conversation turns to ensure consistency.","intents":["I want to describe a flowchart in plain English and have it automatically converted to Mermaid syntax","I need to generate an architecture diagram from a text description without learning Mermaid syntax","I want to iteratively refine a diagram through conversation while the AI ensures syntax validity"],"best_for":["developers prototyping system architectures quickly without memorizing Mermaid syntax","technical writers documenting processes who want to generate diagrams conversationally","teams using MCP servers to integrate diagram generation into AI-powered workflows"],"limitations":["Requires valid LLM API access (OpenAI, Anthropic, or compatible) — no offline mode","Multi-round refinement adds latency per iteration as LLM re-validates syntax","Complex nested diagrams may require multiple clarification rounds to achieve desired structure","LLM hallucinations can produce syntactically invalid Mermaid code requiring human correction"],"requires":["Node.js 14+ or Python 3.8+ (depending on MCP server implementation)","API key for OpenAI, Anthropic, or compatible LLM provider","MCP client supporting the Mermaid MCP server protocol","Mermaid.js library 10.0+ for rendering"],"input_types":["natural language text descriptions","conversational prompts with refinement requests","existing Mermaid code for modification"],"output_types":["Mermaid diagram syntax (text)","rendered diagram visualization","structured diagram metadata"],"categories":["text-generation-language","code-generation-editing"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"smithery_hustcc-mcp-mermaid__cap_1","uri":"capability://image.visual.multi.format.diagram.export.with.style.customization","name":"multi-format diagram export with style customization","description":"Exports validated Mermaid diagrams to multiple output formats (PNG, SVG, PDF) with configurable styling including color schemes, fonts, and layout parameters. The export pipeline uses headless rendering (likely Puppeteer or similar) to convert SVG intermediates to raster formats while preserving style customizations applied through Mermaid's theming system.","intents":["I need to export a diagram as a high-resolution PNG for inclusion in a presentation","I want to customize diagram colors and fonts to match my brand guidelines before exporting","I need SVG output for further editing in design tools like Figma or Illustrator"],"best_for":["technical documentation teams requiring multiple export formats for different media","designers integrating programmatically-generated diagrams into design systems","CI/CD pipelines automating diagram generation and export as build artifacts"],"limitations":["PNG/PDF export requires headless browser rendering, adding ~500-2000ms per export depending on diagram complexity","Style customization is limited to Mermaid's built-in theme variables — custom CSS injection not supported","Large diagrams (>5000 nodes) may exceed memory limits during raster rendering","Font rendering in exported images depends on system fonts available to headless browser"],"requires":["Mermaid.js 10.0+","Puppeteer 10.0+ or equivalent headless browser for raster export","Node.js 14+ runtime","Sufficient disk space for temporary SVG intermediates during batch exports"],"input_types":["Mermaid diagram syntax (text)","style configuration objects (JSON)","theme preset names (string)"],"output_types":["PNG image files","SVG vector files","PDF documents","base64-encoded image data"],"categories":["image-visual","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"smithery_hustcc-mcp-mermaid__cap_2","uri":"capability://code.generation.editing.mermaid.syntax.validation.and.error.correction","name":"mermaid syntax validation and error correction","description":"Validates Mermaid diagram syntax before rendering and provides detailed error messages identifying syntax violations, malformed relationships, or unsupported diagram types. The validator parses Mermaid code against the grammar specification and can suggest corrections or auto-fix common errors like missing semicolons or invalid node IDs.","intents":["I want to catch Mermaid syntax errors before rendering to avoid blank diagrams","I need detailed error messages explaining why my diagram code is invalid","I want the system to auto-correct common Mermaid syntax mistakes"],"best_for":["developers learning Mermaid syntax who need immediate feedback on correctness","AI systems generating Mermaid code that need validation before rendering","CI/CD pipelines validating diagram definitions as part of documentation builds"],"limitations":["Validation is grammar-based and cannot detect semantic errors (e.g., circular dependencies in flowcharts that are syntactically valid)","Auto-correction is limited to simple, unambiguous fixes — complex restructuring requires human intervention","Error messages may be cryptic for nested or deeply indented diagram structures","Validator must be updated when Mermaid introduces new syntax features or diagram types"],"requires":["Mermaid.js 10.0+ with parser exposed","Node.js 14+ or browser environment with JavaScript support","Access to Mermaid grammar specification or parser library"],"input_types":["Mermaid diagram syntax (text)","partial or incomplete diagram code"],"output_types":["validation status (boolean)","error list with line numbers and descriptions","corrected Mermaid code (when auto-fix is applied)","structured validation report (JSON)"],"categories":["code-generation-editing","safety-moderation"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"smithery_hustcc-mcp-mermaid__cap_3","uri":"capability://planning.reasoning.diagram.type.detection.and.template.suggestion","name":"diagram type detection and template suggestion","description":"Analyzes natural language input to identify the most appropriate Mermaid diagram type (flowchart, sequence, state, class, ER, Gantt, etc.) and suggests relevant templates or starting structures. Uses pattern matching and LLM reasoning to map user intent to diagram semantics, then provides template code with placeholders for user customization.","intents":["I'm describing a process but not sure if I need a flowchart or sequence diagram — what should I use?","I want a starting template for a state machine diagram with common states pre-filled","I need to visualize database relationships — should I use an ER diagram or class diagram?"],"best_for":["non-technical users unfamiliar with diagram types who need guidance on selection","teams standardizing on specific diagram types for documentation","AI agents that need to choose diagram types programmatically based on content"],"limitations":["Template suggestions are heuristic-based and may not match user intent for ambiguous inputs","Limited to Mermaid's supported diagram types — cannot suggest external diagram tools","Templates are generic and may require significant customization for domain-specific use cases","Requires LLM API calls for semantic analysis, adding latency to suggestion generation"],"requires":["LLM API access (OpenAI, Anthropic, or compatible)","Mermaid.js 10.0+ with all diagram type support","Template library with examples for each Mermaid diagram type"],"input_types":["natural language description of diagram intent","partial diagram code for type inference"],"output_types":["recommended diagram type (string)","confidence score (0-1)","template code with placeholders","explanation of why this type was suggested"],"categories":["planning-reasoning","text-generation-language"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"smithery_hustcc-mcp-mermaid__cap_4","uri":"capability://automation.workflow.batch.diagram.generation.and.processing","name":"batch diagram generation and processing","description":"Processes multiple diagram definitions in a single batch operation, generating and exporting all diagrams with consistent styling and validation. Implements queuing and parallel processing to handle large batches efficiently, with progress tracking and error aggregation for failed diagrams.","intents":["I have 50 diagrams to generate for my documentation — I want to batch process them all at once","I need to regenerate all diagrams in my project with updated styling — batch processing would be faster","I want to validate all diagram definitions in my codebase and get a report of errors"],"best_for":["documentation teams managing large numbers of diagrams across multiple projects","CI/CD pipelines generating diagrams as part of automated builds","teams migrating existing diagrams to Mermaid and needing bulk conversion"],"limitations":["Batch processing is I/O bound by headless browser rendering — parallelism limited by available system resources","Memory usage scales with batch size; very large batches (>1000 diagrams) may require streaming or chunking","Error in one diagram doesn't stop batch processing but requires manual review of error report","Progress tracking adds overhead; real-time updates may lag for very large batches"],"requires":["Node.js 14+ with sufficient memory for batch size","Puppeteer or equivalent headless browser with multiple instances for parallelism","Mermaid.js 10.0+","Disk space for temporary files and output exports"],"input_types":["array of diagram definitions (JSON or YAML)","batch configuration (parallelism level, export formats, styling)","file paths to diagram source files"],"output_types":["exported diagram files (PNG, SVG, PDF)","batch processing report (JSON with success/failure counts)","error log with details for failed diagrams","progress stream (for real-time monitoring)"],"categories":["automation-workflow","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"smithery_hustcc-mcp-mermaid__cap_5","uri":"capability://tool.use.integration.mcp.protocol.integration.for.ai.agent.composition","name":"mcp protocol integration for ai agent composition","description":"Exposes diagram generation, validation, and export capabilities as MCP (Model Context Protocol) tools, enabling AI agents and LLM applications to call diagram operations as composable functions within larger workflows. Implements schema-based function definitions with input validation and structured output formatting compatible with OpenAI, Anthropic, and other MCP-compatible LLM providers.","intents":["I want my AI agent to generate diagrams as part of a multi-step documentation workflow","I need to compose diagram generation with other tools (code analysis, documentation writing) in a single agent","I want to expose diagram capabilities to multiple LLM providers through a standard protocol"],"best_for":["AI agent developers building multi-tool workflows that include diagram generation","teams standardizing on MCP for LLM tool integration across multiple applications","platforms providing diagram generation as a service to AI applications"],"limitations":["MCP protocol overhead adds ~50-100ms per tool call compared to direct library usage","Tool schema must be pre-defined; dynamic capabilities cannot be exposed without schema updates","Context window limitations of LLMs may constrain diagram complexity that can be reasoned about in a single turn","Requires MCP-compatible LLM client; not all LLM providers support MCP natively"],"requires":["MCP server implementation (Node.js or Python)","MCP client compatible with target LLM provider","OpenAI API, Anthropic API, or compatible LLM with function calling support","Mermaid.js 10.0+"],"input_types":["MCP tool call requests (JSON-RPC format)","function parameters matching schema definitions","LLM-generated tool invocations"],"output_types":["MCP tool response (JSON-RPC format)","structured tool results with diagram data","error responses with diagnostic information"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"smithery_hustcc-mcp-mermaid__cap_6","uri":"capability://memory.knowledge.diagram.context.preservation.across.conversation.turns","name":"diagram context preservation across conversation turns","description":"Maintains diagram state and context across multiple conversation turns, allowing users to reference previous diagrams, make incremental modifications, and track version history. Implements context management through conversation memory or explicit state storage, enabling the AI to understand references like 'add a node to the previous diagram' without re-specifying the entire structure.","intents":["I want to modify the diagram I created in the previous message without re-describing the entire structure","I need to see the version history of a diagram as I've refined it through multiple turns","I want to reference a diagram created earlier in the conversation and extend it with new elements"],"best_for":["users iteratively refining diagrams through conversational interaction","teams collaborating on diagram design where context needs to persist across sessions","documentation workflows where diagrams evolve through multiple review cycles"],"limitations":["Context window limitations of LLMs constrain how much diagram history can be retained in conversation memory","Requires explicit state storage (database or file system) for persistence across sessions — no built-in session management","Large diagrams with extensive modification history may exceed token limits when included in context","Version tracking adds storage overhead; pruning old versions requires manual policy definition"],"requires":["LLM with sufficient context window (4K+ tokens recommended)","State storage mechanism (database, file system, or vector store for embeddings)","Session management layer to track conversation state","Mermaid.js 10.0+"],"input_types":["conversational prompts with implicit references to previous diagrams","modification requests relative to current diagram state","version selection requests"],"output_types":["updated diagram with changes applied","version history list with timestamps","diff visualization showing changes between versions","context summary for reference"],"categories":["memory-knowledge","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"smithery_hustcc-mcp-mermaid__cap_7","uri":"capability://image.visual.diagram.layout.and.positioning.optimization","name":"diagram layout and positioning optimization","description":"Automatically optimizes diagram layout using graph layout algorithms (hierarchical, force-directed, or custom) to improve readability and reduce visual clutter. Applies Mermaid's layout configuration options and can suggest layout parameters based on diagram structure and complexity.","intents":["My flowchart is hard to read because nodes are overlapping — can you auto-layout it?","I want to optimize the positioning of nodes in my diagram for better visual hierarchy","I need to apply consistent layout rules across multiple diagrams for a cohesive look"],"best_for":["users with complex diagrams that benefit from algorithmic layout optimization","documentation teams standardizing on layout conventions across projects","automated diagram generation systems that need deterministic, readable layouts"],"limitations":["Layout optimization is computationally expensive for very large diagrams (>1000 nodes) and may timeout","Different diagram types support different layout algorithms; not all optimizations apply to all types","Optimized layouts may not match user's mental model of the diagram structure","Layout parameters are heuristic-based and may require manual tuning for specific use cases"],"requires":["Mermaid.js 10.0+ with layout engine support","Graph layout library (e.g., Dagre, ELK, or Mermaid's built-in layout)","Node.js 14+ for server-side layout computation"],"input_types":["Mermaid diagram syntax","layout algorithm preference (hierarchical, force-directed, etc.)","layout parameter overrides"],"output_types":["optimized Mermaid diagram with layout directives","layout metrics (aspect ratio, node spacing, edge crossings)","layout parameter recommendations"],"categories":["image-visual","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":26,"verified":false,"data_access_risk":"high","permissions":["Node.js 14+ or Python 3.8+ (depending on MCP server implementation)","API key for OpenAI, Anthropic, or compatible LLM provider","MCP client supporting the Mermaid MCP server protocol","Mermaid.js library 10.0+ for rendering","Mermaid.js 10.0+","Puppeteer 10.0+ or equivalent headless browser for raster export","Node.js 14+ runtime","Sufficient disk space for temporary SVG intermediates during batch exports","Mermaid.js 10.0+ with parser exposed","Node.js 14+ or browser environment with JavaScript support"],"failure_modes":["Requires valid LLM API access (OpenAI, Anthropic, or compatible) — no offline mode","Multi-round refinement adds latency per iteration as LLM re-validates syntax","Complex nested diagrams may require multiple clarification rounds to achieve desired structure","LLM hallucinations can produce syntactically invalid Mermaid code requiring human correction","PNG/PDF export requires headless browser rendering, adding ~500-2000ms per export depending on diagram complexity","Style customization is limited to Mermaid's built-in theme variables — custom CSS injection not supported","Large diagrams (>5000 nodes) may exceed memory limits during raster rendering","Font rendering in exported images depends on system fonts available to headless browser","Validation is grammar-based and cannot detect semantic errors (e.g., circular dependencies in flowcharts that are syntactically valid)","Auto-correction is limited to simple, unambiguous fixes — complex restructuring requires human intervention","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.05,"quality":0.41,"ecosystem":0.38999999999999996,"match_graph":0.25,"freshness":0.5,"weights":{"adoption":0.3,"quality":0.2,"ecosystem":0.15,"match_graph":0.3,"freshness":0.05}},"observed_outcomes":{"matches":0,"success_rate":0,"avg_confidence":0,"top_intents":[],"last_matched_at":null},"maintenance":{"status":"active","updated_at":"2026-05-24T12:16:26.913Z","last_scraped_at":"2026-05-03T15:19:33.056Z","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=hustcc-mcp-mermaid","compare_url":"https://unfragile.ai/compare?artifact=hustcc-mcp-mermaid"}},"signature":"x/428x61BKNokq22J33YUKLZbbzSJdnQKr56A7vmCOi+UqE+0/ket6WICnaHOMydKtHD/NnOWC2PuQb62tBgBQ==","signedAt":"2026-06-21T08:53:49.609Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/hustcc-mcp-mermaid","artifact":"https://unfragile.ai/hustcc-mcp-mermaid","verify":"https://unfragile.ai/api/v1/verify?slug=hustcc-mcp-mermaid","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"}}