{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"npm-coinbase-cds-mcp-server","slug":"coinbase-cds-mcp-server","name":"@coinbase/cds-mcp-server","type":"mcp","url":"https://github.com/coinbase/cds#readme","page_url":"https://unfragile.ai/coinbase-cds-mcp-server","categories":["mcp-servers"],"tags":[],"pricing":{"model":"open_source","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"npm-coinbase-cds-mcp-server__cap_0","uri":"capability://tool.use.integration.design.system.component.schema.exposure.via.mcp.protocol","name":"design system component schema exposure via mcp protocol","description":"Exposes Coinbase Design System component definitions, properties, and constraints through the Model Context Protocol (MCP) server interface, allowing AI agents and LLM-powered tools to introspect and reason about available UI components without direct filesystem access. Implements MCP resource endpoints that serialize component metadata (props, variants, accessibility attributes) into structured JSON that conforms to the CDS specification, enabling downstream tools to generate or validate component usage.","intents":["I want my AI coding assistant to understand which CDS components are available and their valid prop combinations","I need to generate component code that respects CDS constraints and accessibility requirements","I want to validate that generated UI code uses only approved Coinbase design system components"],"best_for":["teams building LLM-powered code generation tools for Coinbase design system","developers integrating CDS into Claude or other MCP-compatible AI agents","design system maintainers exposing component APIs to AI-assisted development workflows"],"limitations":["MCP protocol overhead adds ~50-100ms per schema query compared to direct module imports","Schema exposure is read-only — no capability to modify or extend components through MCP","Requires MCP client implementation; not compatible with non-MCP AI tools or REST-based integrations"],"requires":["Node.js 16+ runtime","MCP-compatible client (Claude Desktop, custom MCP client, or compatible AI framework)","@coinbase/cds package installed as peer dependency","Network connectivity if running as remote MCP server"],"input_types":["MCP resource URIs (e.g., 'cds://components/Button')","component name strings","variant/prop filter queries"],"output_types":["JSON schema definitions","component metadata objects","prop type definitions","accessibility attribute specifications"],"categories":["tool-use-integration","design-system-api"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm-coinbase-cds-mcp-server__cap_1","uri":"capability://safety.moderation.component.property.validation.and.constraint.enforcement","name":"component property validation and constraint enforcement","description":"Validates component prop combinations against CDS specifications, enforcing type safety, required prop dependencies, and variant constraints through schema-based validation logic. The MCP server exposes validation endpoints that check whether a given set of props is valid for a component, returning detailed error messages about constraint violations (e.g., 'size=small incompatible with variant=full-width'). This enables AI agents to generate only valid component configurations without trial-and-error.","intents":["I want to ensure generated component code respects all CDS prop constraints before rendering","I need detailed error messages explaining why a component prop combination is invalid","I want to generate component variants that are guaranteed to work with the design system"],"best_for":["AI code generation tools that need real-time prop validation feedback","LLM agents building component-based UIs with strict design system compliance","design system governance tools that audit generated code for CDS violations"],"limitations":["Validation rules are static and reflect CDS version at server startup — runtime updates to component constraints require server restart","No support for conditional prop validation based on external state or runtime context","Validation latency increases with component complexity; deeply nested prop schemas may add 10-50ms per validation call"],"requires":["Node.js 16+","MCP client with support for tool/function calling","@coinbase/cds with TypeScript type definitions","CDS version matching server's compiled schema version"],"input_types":["component name (string)","props object (JSON)","variant identifiers (string)"],"output_types":["validation result object (valid: boolean, errors: string[])","constraint violation details","suggested valid prop alternatives"],"categories":["safety-moderation","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm-coinbase-cds-mcp-server__cap_2","uri":"capability://code.generation.editing.component.usage.example.and.pattern.retrieval","name":"component usage example and pattern retrieval","description":"Provides curated examples and usage patterns for CDS components through MCP resource endpoints, allowing AI agents to retrieve reference implementations, accessibility best practices, and common prop combinations. The server indexes component examples (stored in CDS documentation or example files) and exposes them as searchable resources, enabling LLMs to ground code generation in real, tested patterns rather than inferring from type definitions alone.","intents":["I want my AI assistant to generate component code that follows established CDS patterns","I need accessibility-compliant examples for components like modals or form inputs","I want to show the AI agent how to compose multiple CDS components together"],"best_for":["teams using Claude or other LLM agents to generate UI code with high pattern fidelity","design system teams that want to enforce usage patterns through AI-assisted development","developers building component-aware code generation tools that need reference implementations"],"limitations":["Examples are static — no dynamic example generation based on user context or custom requirements","Example retrieval is keyword/name-based; no semantic search across example intent or use case","Examples may become stale if CDS components evolve faster than documentation updates"],"requires":["Node.js 16+","MCP client","@coinbase/cds with example files or documentation","examples indexed at server startup"],"input_types":["component name (string)","example category/tag (string)","accessibility requirement (string)"],"output_types":["code snippet (JSX/TSX)","example metadata (description, accessibility notes, dependencies)","multiple example variants"],"categories":["code-generation-editing","memory-knowledge"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm-coinbase-cds-mcp-server__cap_3","uri":"capability://data.processing.analysis.design.token.and.theming.metadata.exposure","name":"design token and theming metadata exposure","description":"Exposes Coinbase Design System tokens (colors, typography, spacing, shadows, etc.) and theming configuration through MCP resources, allowing AI agents to generate code that uses design tokens instead of hardcoded values. The server serializes token definitions and their relationships (e.g., 'primary-color' → '#0052FF') into queryable resources, enabling LLMs to generate semantically correct, theme-aware component code that respects design system constraints.","intents":["I want my AI assistant to use design tokens instead of hardcoded colors or spacing values","I need to generate code that respects the current theme (light/dark mode) through token references","I want to ensure generated styles are maintainable and automatically update when tokens change"],"best_for":["teams generating styled components or CSS-in-JS code with AI assistance","design system teams enforcing token-based styling across AI-generated code","developers building theme-aware UI generation tools"],"limitations":["Token exposure is read-only; no capability to define or override tokens through MCP","Token relationships and computed values (e.g., 'spacing-base * 2') are not evaluated — only literal token definitions are exposed","No support for runtime token switching; token set is fixed at server startup"],"requires":["Node.js 16+","MCP client","@coinbase/cds with token definitions","token metadata files (JSON, CSS variables, or equivalent)"],"input_types":["token category (string: 'color', 'spacing', 'typography', etc.)","token name (string)","theme variant (string: 'light', 'dark', etc.)"],"output_types":["token value (string: hex color, pixel value, font family, etc.)","token metadata (description, usage guidelines, related tokens)","token category definitions"],"categories":["data-processing-analysis","memory-knowledge"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm-coinbase-cds-mcp-server__cap_4","uri":"capability://safety.moderation.accessibility.compliance.metadata.and.wcag.guideline.mapping","name":"accessibility compliance metadata and wcag guideline mapping","description":"Provides accessibility requirements, WCAG compliance mappings, and accessibility best practices for CDS components through MCP resources. The server exposes component-level accessibility metadata (required ARIA attributes, keyboard navigation requirements, color contrast ratios) and maps them to specific WCAG guidelines, enabling AI agents to generate accessible code and understand accessibility constraints when composing components.","intents":["I want my AI assistant to generate components with required ARIA attributes and accessibility attributes","I need to understand which WCAG guidelines apply to a specific component","I want to validate that generated component code meets accessibility requirements"],"best_for":["teams building accessible UIs with AI assistance and strict WCAG compliance requirements","design system teams enforcing accessibility standards through AI-generated code","developers building accessibility-aware code generation tools"],"limitations":["Accessibility metadata is component-level only; no support for page-level or cross-component accessibility validation","No automated testing of accessibility compliance — metadata is informational only","WCAG mappings are static and reflect CDS version at server startup"],"requires":["Node.js 16+","MCP client","@coinbase/cds with accessibility metadata","WCAG guideline definitions (embedded or referenced)"],"input_types":["component name (string)","WCAG level (string: 'A', 'AA', 'AAA')","accessibility concern (string: 'keyboard-navigation', 'screen-reader', 'color-contrast')"],"output_types":["accessibility requirements (array of strings)","ARIA attribute specifications","keyboard navigation patterns","WCAG guideline references with links"],"categories":["safety-moderation","memory-knowledge"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm-coinbase-cds-mcp-server__cap_5","uri":"capability://planning.reasoning.component.dependency.and.composition.graph.traversal","name":"component dependency and composition graph traversal","description":"Exposes component dependency relationships and composition patterns through MCP resources, allowing AI agents to understand which components can be composed together and what dependencies must be satisfied. The server builds and exposes a dependency graph showing component hierarchies (e.g., 'Button' is used within 'Dialog'), enabling LLMs to generate valid component compositions and understand required peer dependencies or parent component contexts.","intents":["I want to know which components can be nested inside a given parent component","I need to understand what dependencies a component has before using it","I want to generate component compositions that respect nesting rules and parent-child relationships"],"best_for":["AI agents generating multi-component layouts and compositions","teams building component-aware code generation with strict composition rules","design system teams enforcing component hierarchy constraints"],"limitations":["Dependency graph is static and built at server startup — no support for dynamic composition rules","No support for conditional composition (e.g., 'Button can be nested in Dialog only if Dialog.size=large')","Graph traversal is limited to direct dependencies; no transitive dependency analysis"],"requires":["Node.js 16+","MCP client","@coinbase/cds with component definitions","dependency metadata (embedded in component definitions or separate files)"],"input_types":["component name (string)","relationship type (string: 'children', 'parents', 'siblings')","depth limit (integer)"],"output_types":["dependency graph (JSON or adjacency list)","valid child components (array)","required parent components (array)","composition rules and constraints"],"categories":["planning-reasoning","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm-coinbase-cds-mcp-server__cap_6","uri":"capability://memory.knowledge.component.versioning.and.deprecation.tracking","name":"component versioning and deprecation tracking","description":"Tracks and exposes component versioning information, deprecation status, and migration paths through MCP resources. The server maintains version metadata for each component (current version, deprecated versions, breaking changes) and provides migration guidance, enabling AI agents to generate code using current, non-deprecated components and understand how to update legacy component usage.","intents":["I want my AI assistant to use only current, non-deprecated components","I need to understand what changed between component versions and how to migrate","I want to generate code that won't break when the design system is updated"],"best_for":["teams maintaining large codebases with evolving design systems","AI-assisted code generation tools that need to stay current with design system updates","design system teams managing component deprecation and migration"],"limitations":["Versioning metadata is static at server startup — no support for runtime version updates","Migration paths are informational only; no automated code transformation or migration","No support for version-specific prop validation (e.g., 'size prop removed in v2.0')"],"requires":["Node.js 16+","MCP client","@coinbase/cds with version metadata","changelog or version history (embedded or referenced)"],"input_types":["component name (string)","version number (string: '1.0.0', '2.0.0', etc.)","deprecation status query (string)"],"output_types":["current component version","deprecation status and timeline","breaking changes (array)","migration guide (text or code examples)","replacement component recommendations"],"categories":["memory-knowledge","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm-coinbase-cds-mcp-server__cap_7","uri":"capability://tool.use.integration.interactive.component.playground.and.live.preview.integration","name":"interactive component playground and live preview integration","description":"Provides MCP endpoints that enable AI agents to request live previews or interactive playground links for components, allowing developers to validate generated component code in a browser-based environment. The server generates shareable playground URLs (e.g., Storybook links, CodeSandbox embeds) or returns component preview metadata that can be rendered by MCP clients, enabling real-time visual validation of AI-generated component configurations.","intents":["I want to see a live preview of the component code my AI assistant generated","I need to validate that generated component props render correctly before committing code","I want to share component previews with designers or stakeholders for feedback"],"best_for":["developers using AI to generate UI code who need visual validation","design system teams providing interactive component documentation","teams building AI-assisted design-to-code workflows"],"limitations":["Preview generation requires external service (Storybook, CodeSandbox, etc.) — no built-in rendering","Preview URLs may be slow to generate or load, adding latency to AI workflows","No support for custom component configurations or edge cases not covered by playground"],"requires":["Node.js 16+","MCP client with support for URL/link resources","@coinbase/cds with Storybook or equivalent playground setup","external playground service (Storybook, CodeSandbox, or custom)"],"input_types":["component name (string)","props object (JSON)","variant identifier (string)"],"output_types":["preview URL (string)","playground metadata (description, interactive controls)","embed code (HTML/iframe)"],"categories":["tool-use-integration","image-visual"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":35,"verified":false,"data_access_risk":"high","permissions":["Node.js 16+ runtime","MCP-compatible client (Claude Desktop, custom MCP client, or compatible AI framework)","@coinbase/cds package installed as peer dependency","Network connectivity if running as remote MCP server","Node.js 16+","MCP client with support for tool/function calling","@coinbase/cds with TypeScript type definitions","CDS version matching server's compiled schema version","MCP client","@coinbase/cds with example files or documentation"],"failure_modes":["MCP protocol overhead adds ~50-100ms per schema query compared to direct module imports","Schema exposure is read-only — no capability to modify or extend components through MCP","Requires MCP client implementation; not compatible with non-MCP AI tools or REST-based integrations","Validation rules are static and reflect CDS version at server startup — runtime updates to component constraints require server restart","No support for conditional prop validation based on external state or runtime context","Validation latency increases with component complexity; deeply nested prop schemas may add 10-50ms per validation call","Examples are static — no dynamic example generation based on user context or custom requirements","Example retrieval is keyword/name-based; no semantic search across example intent or use case","Examples may become stale if CDS components evolve faster than documentation updates","Token exposure is read-only; no capability to define or override tokens through MCP","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.40671691510308267,"quality":0.26,"ecosystem":0.39999999999999997,"match_graph":0.25,"freshness":0.52,"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":"2026-05-24T12:16:23.901Z","last_scraped_at":"2026-05-03T14:04:47.472Z","last_commit":null},"community":{"stars":null,"forks":null,"weekly_downloads":5402,"model_downloads":null,"model_likes":null}},"distribution":{"claim_url":"https://unfragile.ai/submit?claim=coinbase-cds-mcp-server","compare_url":"https://unfragile.ai/compare?artifact=coinbase-cds-mcp-server"}},"signature":"cJa8OOyU783IlO61E68pFklCBjBi+RH+kXwL1FwutuuyksKVUDQqTerTUyo4kqIo3AyvDTIMfb9JlxJo4JJdCw==","signedAt":"2026-06-23T01:44:24.025Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/coinbase-cds-mcp-server","artifact":"https://unfragile.ai/coinbase-cds-mcp-server","verify":"https://unfragile.ai/api/v1/verify?slug=coinbase-cds-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"}}