{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"npm_npm-data360mcp-ui-angular","slug":"npm-data360mcp-ui-angular","name":"@data360/mcp-ui-angular","type":"mcp","url":"https://www.npmjs.com/package/@data360/mcp-ui-angular","page_url":"https://unfragile.ai/npm-data360mcp-ui-angular","categories":["mcp-servers"],"tags":["data360","mcp","angular","vega-lite","world-bank"],"pricing":{"model":"open_source","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"npm_npm-data360mcp-ui-angular__cap_0","uri":"capability://image.visual.vega.lite.chart.rendering.from.mcp.tool.output","name":"vega-lite chart rendering from mcp tool output","description":"Renders interactive Vega-Lite visualizations within Angular components by consuming structured chart specifications emitted from Data360 MCP tools. The component receives Vega-Lite JSON specifications (axis definitions, data bindings, mark types, encodings) and delegates rendering to the Vega-Lite library, enabling declarative data visualization without custom D3 or Canvas code. Integrates with MCP protocol to receive tool outputs as standardized chart payloads.","intents":["Display data visualizations generated by MCP tools directly in an Angular application without manual chart configuration","Render World Bank Data360 analysis results as interactive charts with minimal boilerplate","Consume MCP tool outputs that emit Vega-Lite specifications and display them in a reusable component"],"best_for":["Angular developers building dashboards that consume Data360 MCP tool outputs","Teams integrating World Bank data analysis into Angular applications","Developers needing quick visualization of MCP-generated chart specifications without custom rendering logic"],"limitations":["Limited to Vega-Lite specification format — cannot render custom D3, Plotly, or other visualization libraries","Requires MCP tool output to emit valid Vega-Lite JSON; malformed specifications will fail silently or throw rendering errors","No built-in data transformation — assumes MCP tools provide pre-formatted, visualization-ready data","Angular-only; cannot be used in React, Vue, or vanilla JavaScript applications without wrapper components"],"requires":["Angular 12+ (likely; typical for modern Angular component libraries)","Vega-Lite library installed as peer dependency","MCP server providing Data360 tools that emit Vega-Lite chart specifications","Node.js 14+ for npm package installation"],"input_types":["Vega-Lite JSON specification object","MCP tool output payload containing chart definition","Data array or URL reference (embedded in Vega-Lite spec)"],"output_types":["Rendered SVG/Canvas visualization","Interactive HTML chart with tooltips and legends","DOM-mounted Vega-Lite visualization instance"],"categories":["image-visual","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm_npm-data360mcp-ui-angular__cap_1","uri":"capability://image.visual.mcp.tool.output.schema.mapping.to.chart.card.component","name":"mcp tool output schema mapping to chart card component","description":"Provides a pre-configured Angular card component that automatically maps MCP tool output fields (title, description, data payload, metadata) to visual card elements (header, body, footer). The component accepts an MCP tool response object and extracts chart specification, labels, and contextual metadata, rendering them in a cohesive card layout. Handles schema translation between MCP response format and Vega-Lite input requirements.","intents":["Display MCP tool results in a standardized card UI without manually mapping response fields to component inputs","Render Data360 analysis results with title, description, and visualization in a single reusable component","Automatically extract and present chart metadata (source, timestamp, data quality indicators) alongside visualizations"],"best_for":["Angular developers building dashboards that display multiple MCP tool results in a grid or list layout","Teams standardizing the presentation of Data360 analysis outputs across applications","Rapid prototyping of data analysis UIs that consume World Bank MCP tools"],"limitations":["Assumes fixed MCP response schema — custom or non-standard tool outputs may not map correctly","Limited customization of card layout and styling without forking the component","No built-in pagination or lazy-loading for large datasets within the card","Card styling is opinionated; may require CSS overrides to match custom design systems"],"requires":["Angular 12+","MCP tool output conforming to Data360 response schema","Vega-Lite library","Angular Material or Bootstrap (likely, for card styling)"],"input_types":["MCP tool response object with chart specification and metadata","Vega-Lite JSON specification","String (title, description, labels)"],"output_types":["Rendered HTML card component","DOM structure with header, body (chart), and footer sections","Interactive visualization within card context"],"categories":["image-visual","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm_npm-data360mcp-ui-angular__cap_2","uri":"capability://image.visual.interactive.chart.interaction.event.handling.and.data.binding","name":"interactive chart interaction event handling and data binding","description":"Manages user interactions with rendered Vega-Lite charts (click, hover, selection) and exposes them as Angular event emitters or RxJS observables. The component captures Vega-Lite interaction events (selections, brushing, clicking marks) and propagates them to parent components, enabling drill-down, filtering, or secondary analysis workflows. Implements two-way data binding between chart state and Angular component state.","intents":["Respond to user clicks or selections on chart elements to trigger drill-down or filtering in the parent application","Capture chart interaction events and pass them to other components for coordinated multi-chart dashboards","Enable linked visualizations where selecting data in one chart filters another chart"],"best_for":["Dashboard developers building interactive, multi-chart data exploration interfaces","Teams implementing drill-down workflows from summary charts to detailed data views","Applications requiring coordinated interactions across multiple Data360 visualizations"],"limitations":["Event handling depends on Vega-Lite's interaction model — complex custom interactions may require Vega-Lite specification modifications","No built-in debouncing or throttling of high-frequency interaction events; parent components must manage performance","Selection state is not persisted — interactions are lost on component remount unless explicitly managed","Limited to Vega-Lite's native interaction capabilities; custom gesture recognition (e.g., pinch-zoom) not supported"],"requires":["Angular 12+ with RxJS 6+","Vega-Lite with interaction specification support","Parent component capable of handling event emitters or subscribing to observables"],"input_types":["Vega-Lite chart specification with interaction definitions","User interaction events (click, hover, selection) from Vega-Lite runtime"],"output_types":["Angular @Output event emitters","RxJS observables emitting interaction payloads","Selected data objects or indices from chart marks"],"categories":["image-visual","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm_npm-data360mcp-ui-angular__cap_3","uri":"capability://tool.use.integration.mcp.protocol.integration.and.tool.output.consumption","name":"mcp protocol integration and tool output consumption","description":"Provides Angular service bindings to consume MCP tool outputs directly, handling protocol-level details (message serialization, response parsing, error handling). The service abstracts MCP client communication, allowing components to request Data360 tool execution and receive results as typed Angular observables. Implements request/response correlation and timeout handling for asynchronous MCP calls.","intents":["Trigger Data360 MCP tool execution from Angular components and receive results as observables","Abstract MCP protocol details so components can focus on visualization and interaction logic","Handle MCP errors, timeouts, and retries transparently without custom error handling in every component"],"best_for":["Angular developers building applications that actively invoke MCP tools (not just displaying pre-computed results)","Teams building interactive data analysis UIs where users trigger MCP tool execution on-demand","Applications requiring real-time or near-real-time Data360 analysis results"],"limitations":["Requires MCP server running and accessible from the Angular application (same origin or CORS-enabled)","No built-in caching of MCP tool results — repeated calls to the same tool with same parameters will re-execute","Timeout and retry logic may need tuning for slow or unreliable MCP servers","No support for streaming MCP responses; assumes request/response model"],"requires":["Angular 12+ with RxJS 6+","MCP server running and accessible (local or remote with CORS)","MCP client library compatible with Angular (likely @modelcontextprotocol/sdk or similar)","Network connectivity to MCP server"],"input_types":["MCP tool name (string)","Tool parameters (object)","MCP request message"],"output_types":["RxJS observable emitting MCP tool response","Typed response object matching MCP schema","Error observable on MCP communication failure"],"categories":["tool-use-integration","memory-knowledge"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm_npm-data360mcp-ui-angular__cap_4","uri":"capability://image.visual.responsive.chart.resizing.and.container.adaptation","name":"responsive chart resizing and container adaptation","description":"Automatically resizes rendered Vega-Lite charts when the parent container dimensions change, using Angular's ResizeObserver or viewport change detection. The component listens to container size changes and updates the Vega-Lite specification's width/height properties, triggering re-render. Supports responsive breakpoints for mobile, tablet, and desktop layouts.","intents":["Display charts that adapt to different screen sizes without manual resize handling","Build responsive dashboards where charts reflow and resize with the viewport","Ensure charts remain readable on mobile devices by adjusting dimensions and font sizes"],"best_for":["Developers building responsive dashboards for mobile and desktop","Applications with dynamic layouts where chart containers change size","Teams prioritizing mobile-first data exploration experiences"],"limitations":["ResizeObserver may not be supported in older browsers (IE 11); requires polyfill","Frequent resize events can trigger expensive Vega-Lite re-renders; performance may degrade with many charts","Responsive breakpoints are fixed; custom breakpoints require component modification","No built-in aspect ratio preservation — charts may distort if container aspect ratio changes significantly"],"requires":["Angular 12+ with ResizeObserver support or polyfill","Vega-Lite with dynamic width/height specification support","Modern browser with ResizeObserver API (or polyfill for older browsers)"],"input_types":["Container element (DOM node)","Vega-Lite specification with responsive width/height"],"output_types":["Resized Vega-Lite visualization","Updated chart dimensions in response to container changes"],"categories":["image-visual"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm_npm-data360mcp-ui-angular__cap_5","uri":"capability://image.visual.chart.export.and.download.functionality","name":"chart export and download functionality","description":"Provides methods to export rendered Vega-Lite charts as PNG, SVG, or JSON specification files. The component leverages Vega-Lite's built-in export capabilities (canvas rendering for raster formats, SVG serialization) and wraps them in Angular methods that trigger browser downloads. Supports batch export of multiple charts in a dashboard.","intents":["Allow users to download chart visualizations as images for reports or presentations","Export chart specifications as JSON for sharing or archiving analysis configurations","Generate PNG/SVG exports for embedding in documents or dashboards"],"best_for":["Applications where users need to export analysis results for external use","Reporting dashboards that support chart download and sharing","Data exploration tools where users want to preserve and share visualizations"],"limitations":["PNG export requires canvas rendering; may fail in headless or server-side rendering contexts","Large charts may produce large file sizes; no built-in compression or optimization","Export quality depends on Vega-Lite's rendering engine; custom fonts or styles may not export correctly","No built-in batch export UI; requires custom implementation for exporting multiple charts"],"requires":["Angular 12+","Vega-Lite with export capabilities","Browser with canvas and blob support for file downloads"],"input_types":["Rendered Vega-Lite chart instance","Export format (PNG, SVG, JSON)","Optional filename for download"],"output_types":["PNG image file","SVG vector file","JSON specification file","Browser download trigger"],"categories":["image-visual","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm_npm-data360mcp-ui-angular__cap_6","uri":"capability://image.visual.accessibility.features.for.chart.visualization","name":"accessibility features for chart visualization","description":"Implements accessibility features including ARIA labels, semantic HTML structure, keyboard navigation support, and high-contrast mode compatibility. Ensures chart components are navigable via keyboard, provide text alternatives for visual data, and work with screen readers. Leverages Vega-Lite's built-in accessibility features (e.g., data table export) and enhances them with Angular-specific accessibility patterns like focus management and ARIA live regions for dynamic updates.","intents":["Make data visualizations accessible to users with visual impairments using screen readers","Enable keyboard-only navigation of charts and interactive elements","Provide text alternatives and data tables for chart data"],"best_for":["Public-facing applications with accessibility compliance requirements (WCAG 2.1)","Government or enterprise applications serving diverse user populations","Teams committed to inclusive design practices"],"limitations":["Vega-Lite's accessibility support is limited — complex interactive charts may not have complete keyboard navigation","Screen reader support depends on proper ARIA labeling — requires careful implementation","Data table export from Vega-Lite may not be suitable for all chart types","High-contrast mode support requires explicit CSS and may conflict with design aesthetics"],"requires":["Angular 12+ with accessibility module support","ARIA and semantic HTML knowledge","Testing with actual screen readers (NVDA, JAWS, VoiceOver)"],"input_types":["Chart data and metadata","Accessibility configuration (ARIA labels, keyboard shortcuts)"],"output_types":["Semantic HTML with ARIA attributes","Keyboard event handlers","Screen reader-compatible output"],"categories":["image-visual","safety-moderation"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":29,"verified":false,"data_access_risk":"moderate","permissions":["Angular 12+ (likely; typical for modern Angular component libraries)","Vega-Lite library installed as peer dependency","MCP server providing Data360 tools that emit Vega-Lite chart specifications","Node.js 14+ for npm package installation","Angular 12+","MCP tool output conforming to Data360 response schema","Vega-Lite library","Angular Material or Bootstrap (likely, for card styling)","Angular 12+ with RxJS 6+","Vega-Lite with interaction specification support"],"failure_modes":["Limited to Vega-Lite specification format — cannot render custom D3, Plotly, or other visualization libraries","Requires MCP tool output to emit valid Vega-Lite JSON; malformed specifications will fail silently or throw rendering errors","No built-in data transformation — assumes MCP tools provide pre-formatted, visualization-ready data","Angular-only; cannot be used in React, Vue, or vanilla JavaScript applications without wrapper components","Assumes fixed MCP response schema — custom or non-standard tool outputs may not map correctly","Limited customization of card layout and styling without forking the component","No built-in pagination or lazy-loading for large datasets within the card","Card styling is opinionated; may require CSS overrides to match custom design systems","Event handling depends on Vega-Lite's interaction model — complex custom interactions may require Vega-Lite specification modifications","No built-in debouncing or throttling of high-frequency interaction events; parent components must manage performance","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.05,"quality":0.24,"ecosystem":0.45,"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":"2026-05-24T12:16:23.903Z","last_scraped_at":"2026-05-03T14:24:06.385Z","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-data360mcp-ui-angular","compare_url":"https://unfragile.ai/compare?artifact=npm-data360mcp-ui-angular"}},"signature":"jCZvEV3QJWLwTtSjckHZwcJqk49f7+9og7W5vHTYAihoMDERv6YscMad/nP/UYShXAiEZfF1mgoAfGQshtA1Dw==","signedAt":"2026-06-20T03:01:43.341Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/npm-data360mcp-ui-angular","artifact":"https://unfragile.ai/npm-data360mcp-ui-angular","verify":"https://unfragile.ai/api/v1/verify?slug=npm-data360mcp-ui-angular","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"}}