{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"smithery_antvis-mcp-server-chart","slug":"antvis-mcp-server-chart","name":"Visualization Charts Server","type":"mcp","url":"https://antv.antgroup.com/","page_url":"https://unfragile.ai/antvis-mcp-server-chart","categories":["mcp-servers"],"tags":["mcp","model-context-protocol","smithery:antvis/mcp-server-chart"],"pricing":{"model":"open_source","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"smithery_antvis-mcp-server-chart__cap_0","uri":"capability://tool.use.integration.mcp.native.chart.generation.via.tool.registry","name":"mcp-native chart generation via tool registry","description":"Exposes chart creation as MCP tools that Claude and other MCP clients can invoke directly through the Model Context Protocol. The server implements the MCP tool-calling interface, allowing LLM agents to request chart generation by name and parameters without manual API orchestration. Uses TypeScript bindings to AntV's rendering engine, translating tool invocations into chart specifications that are rendered server-side.","intents":["I want Claude to generate charts on-demand as part of a multi-step analysis workflow","I need to embed chart generation into an AI agent without writing custom API wrappers","I want to let an LLM choose which chart type best represents data without pre-defining the visualization"],"best_for":["AI engineers building Claude-powered data analysis agents","Teams integrating visualization into MCP-based AI workflows","Developers wanting declarative chart generation from LLM outputs"],"limitations":["Chart generation happens server-side only — no client-side rendering options","Limited to AntV chart library capabilities — cannot extend with custom D3 or Plotly charts","MCP protocol overhead adds latency for simple single-chart requests vs direct REST APIs","No streaming support for progressive chart rendering — full chart must be generated before response"],"requires":["Node.js 16+ runtime","MCP client implementation (Claude Desktop, custom MCP host, or compatible tool)","TypeScript/JavaScript environment for server deployment"],"input_types":["JSON chart configuration objects","Structured data arrays/objects for chart data","Chart type specifications (string enum)"],"output_types":["SVG rendered charts","PNG/raster image exports","Chart specification JSON","Base64-encoded image data"],"categories":["tool-use-integration","image-visual"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"smithery_antvis-mcp-server-chart__cap_1","uri":"capability://image.visual.multi.chart.type.specification.and.rendering","name":"multi-chart-type specification and rendering","description":"Supports a comprehensive set of AntV chart types (bar, line, area, scatter, pie, heatmap, etc.) through a unified configuration schema. Each chart type accepts standardized data structures and configuration objects that map to AntV's G2 or G2Plot libraries. The server validates chart specifications against AntV's schema and renders them using the underlying graphics engine, handling coordinate systems, scales, and visual encodings automatically.","intents":["I need to generate different chart types (bar, line, pie) from the same data structure","I want the LLM to choose the best chart type for a dataset without me pre-defining options","I need consistent styling and configuration patterns across multiple chart types"],"best_for":["Data analysts using Claude to explore datasets visually","Business intelligence teams automating report generation","Developers building flexible visualization pipelines that adapt to data characteristics"],"limitations":["Limited to AntV's built-in chart types — cannot create custom composite or domain-specific visualizations","Configuration schema complexity increases with chart type — some advanced options may require deep AntV knowledge","No real-time data streaming — charts are static snapshots, not live-updating dashboards","Performance degrades with very large datasets (>100k points) due to client-side rendering constraints"],"requires":["AntV G2/G2Plot library (included in server)","Valid chart configuration JSON matching AntV schema","Data in array-of-objects or matrix format"],"input_types":["JSON chart configuration","Structured data (arrays, objects)","Numeric, categorical, temporal data types"],"output_types":["Rendered SVG/PNG images","Chart specification JSON","Encoded image data (base64)"],"categories":["image-visual","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"smithery_antvis-mcp-server-chart__cap_2","uri":"capability://data.processing.analysis.data.transformation.and.aggregation.for.chart.preparation","name":"data transformation and aggregation for chart preparation","description":"Accepts raw or semi-structured data and applies transformations (filtering, grouping, aggregation) to prepare it for visualization. The server can perform operations like sum/average/count aggregations, pivot transformations, and data reshaping to match chart input requirements. Transformations are specified declaratively in the chart configuration, allowing the LLM to request data preparation without separate ETL steps.","intents":["I want to aggregate sales data by region and month before visualizing it","I need to filter a large dataset to show only relevant records in the chart","I want to pivot data from long to wide format for a grouped bar chart"],"best_for":["Analysts using Claude to prepare and visualize data in one step","Teams avoiding separate data pipeline tools for simple transformations","Prototyping workflows where data prep and visualization are tightly coupled"],"limitations":["Transformation capabilities are limited to basic operations — no complex window functions or recursive aggregations","No support for joining multiple datasets — single data source only","Transformations execute in-memory — not suitable for datasets >500MB","No caching of intermediate results — repeated transformations recalculate from scratch"],"requires":["Structured input data (JSON arrays or objects)","Transformation specification in chart config","Data fields must be properly typed (numeric, string, date)"],"input_types":["JSON arrays of objects","CSV-like structured data","Numeric, string, date fields"],"output_types":["Transformed data arrays","Aggregated summary objects","Rendered charts with transformed data"],"categories":["data-processing-analysis","image-visual"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"smithery_antvis-mcp-server-chart__cap_3","uri":"capability://image.visual.chart.export.and.format.conversion","name":"chart export and format conversion","description":"Renders charts to multiple output formats (SVG, PNG, PDF) and encodes them for transmission over MCP. The server uses AntV's canvas/SVG rendering backends to generate raster or vector outputs, then encodes results as base64 or file references for delivery to the MCP client. Supports configurable resolution, dimensions, and format-specific options (compression, quality).","intents":["I want to export a chart as a PNG image to embed in a report","I need SVG output so I can edit the chart in design tools","I want to generate charts and save them to disk for batch processing"],"best_for":["Report generation workflows that need image assets","Teams exporting visualizations for presentations or publications","Batch processing pipelines generating multiple chart outputs"],"limitations":["PNG export requires canvas rendering — slower than SVG for large charts","PDF export not natively supported — requires additional conversion tools","Base64 encoding adds ~33% overhead to response size","High-resolution exports (>4K) may exceed MCP message size limits","No support for animated or interactive chart exports"],"requires":["Canvas/headless browser support (Node.js canvas library)","Sufficient memory for raster rendering","MCP client capable of handling binary data or base64 encoding"],"input_types":["Chart specification JSON","Export format specification (svg, png, pdf)"],"output_types":["SVG text/XML","PNG binary (base64-encoded)","PDF binary (if supported)","File paths (if saved to disk)"],"categories":["image-visual","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"smithery_antvis-mcp-server-chart__cap_4","uri":"capability://safety.moderation.interactive.chart.configuration.schema.validation","name":"interactive chart configuration schema validation","description":"Validates chart specifications against AntV's schema before rendering, catching configuration errors early and providing detailed error messages. The server implements schema validation using TypeScript type definitions and runtime checks, ensuring that chart configs match expected structure for the requested chart type. Validation includes type checking, required field verification, and constraint validation (e.g., valid color values, numeric ranges).","intents":["I want to catch configuration errors before rendering to avoid wasted compute","I need clear error messages when the LLM generates invalid chart specs","I want to validate user-provided chart configurations programmatically"],"best_for":["Developers building robust LLM-driven visualization pipelines","Teams needing to validate chart specs from untrusted sources","Debugging workflows where early error detection saves iteration time"],"limitations":["Validation only checks schema compliance — cannot validate semantic correctness (e.g., whether a pie chart is appropriate for the data)","Error messages are technical and may not be user-friendly for non-developers","No support for custom validation rules beyond AntV's schema","Validation adds ~50-100ms latency per request"],"requires":["Valid chart configuration JSON","Knowledge of AntV chart schema structure"],"input_types":["Chart configuration JSON objects"],"output_types":["Validation result (pass/fail)","Error messages with field paths","Corrected/normalized configuration (if auto-fix enabled)"],"categories":["safety-moderation","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"smithery_antvis-mcp-server-chart__cap_5","uri":"capability://image.visual.styling.and.theming.configuration","name":"styling and theming configuration","description":"Allows customization of chart appearance through theme and style specifications (colors, fonts, sizes, spacing). The server applies theme configurations to charts before rendering, supporting both predefined themes and custom style objects. Theming is applied at the AntV G2 level, affecting all visual elements (axes, legends, tooltips, data marks) consistently across chart types.","intents":["I want to apply a consistent brand color scheme to all generated charts","I need to customize fonts and sizes to match a design system","I want to switch between light and dark themes for different contexts"],"best_for":["Teams maintaining consistent visual branding across reports","Designers building customizable visualization templates","Applications needing theme switching (light/dark mode)"],"limitations":["Theme customization is limited to AntV's supported style properties — cannot override all visual aspects","No support for CSS-based styling — must use AntV's configuration objects","Theme changes require re-rendering — no live theme switching on existing charts","Complex custom themes may require deep AntV knowledge to implement correctly"],"requires":["Theme configuration object matching AntV schema","Valid color values (hex, rgb, named colors)","Font names available in rendering environment"],"input_types":["Theme configuration JSON","Color specifications","Font and size parameters"],"output_types":["Styled chart images","Theme configuration objects"],"categories":["image-visual","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"smithery_antvis-mcp-server-chart__cap_6","uri":"capability://image.visual.axis.and.legend.configuration.for.data.interpretation","name":"axis and legend configuration for data interpretation","description":"Provides fine-grained control over axes (labels, scales, ranges, formatting) and legends (positioning, grouping, filtering) to improve chart readability and data interpretation. The server accepts axis and legend specifications in the chart config, applying them through AntV's scale and legend APIs. Supports custom axis labels, logarithmic scales, date formatting, and legend filtering to highlight relevant data dimensions.","intents":["I want to format axis labels as currency or percentages for clarity","I need to set custom axis ranges to emphasize differences in the data","I want to position the legend outside the chart area to avoid obscuring data"],"best_for":["Data analysts creating publication-ready visualizations","Teams needing precise control over chart readability","Developers building domain-specific chart templates"],"limitations":["Axis configuration complexity increases with chart type — some options are type-specific","No support for multi-axis charts with different scales on same chart","Legend filtering is limited to simple inclusion/exclusion — no complex conditional logic","Custom axis label formatting requires understanding AntV's formatter syntax"],"requires":["Chart configuration with axis/legend specifications","Valid scale types (linear, log, time, category)","Format strings for label customization"],"input_types":["Axis configuration objects","Legend configuration objects","Scale specifications"],"output_types":["Rendered charts with custom axes/legends","Axis/legend configuration JSON"],"categories":["image-visual","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"smithery_antvis-mcp-server-chart__cap_7","uri":"capability://image.visual.tooltip.and.interaction.configuration","name":"tooltip and interaction configuration","description":"Configures interactive elements (tooltips, hover effects, click handlers) that enhance chart usability in interactive contexts. The server accepts tooltip specifications (content, formatting, positioning) and applies them through AntV's interaction API. Supports custom tooltip templates, conditional visibility, and formatting of displayed values. Note: interactivity is limited in static exports but available in interactive rendering contexts.","intents":["I want to customize tooltip content to show additional context on hover","I need to format tooltip values (e.g., show percentages instead of raw numbers)","I want to highlight related data points when hovering over one element"],"best_for":["Teams building interactive dashboards or web-based reports","Developers creating data exploration tools","Analysts needing rich contextual information on demand"],"limitations":["Interactivity is only available in web/browser contexts — not in static image exports","Tooltip configuration is limited to AntV's built-in interaction patterns","No support for custom click handlers or complex event logic","Tooltip performance may degrade with very large datasets (>100k points)"],"requires":["Interactive rendering context (web browser, not static image)","Tooltip configuration in chart spec","Data fields to display in tooltips"],"input_types":["Tooltip configuration objects","Custom template strings","Formatting specifications"],"output_types":["Interactive chart HTML/canvas","Tooltip configuration JSON"],"categories":["image-visual","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"smithery_antvis-mcp-server-chart__cap_8","uri":"capability://automation.workflow.batch.chart.generation.and.pipeline.orchestration","name":"batch chart generation and pipeline orchestration","description":"Supports generating multiple charts in sequence through a single MCP request or coordinated calls, enabling batch processing workflows. The server can accept an array of chart specifications and render them sequentially, optionally applying shared data transformations or themes. Useful for report generation, dashboard creation, or exploratory analysis workflows where multiple visualizations are needed.","intents":["I want to generate a full report with 10+ charts from a single dataset","I need to create multiple chart variations to compare different visualizations of the same data","I want to automate chart generation for a recurring report without manual intervention"],"best_for":["Report generation pipelines","Batch processing workflows","Teams automating dashboard creation","Exploratory analysis requiring multiple chart types"],"limitations":["Sequential rendering limits throughput — no parallel chart generation","Memory usage scales with number of charts — large batches may exceed available RAM","No built-in persistence — generated charts must be handled by client","Error in one chart may halt entire batch (depends on error handling strategy)","No progress reporting or streaming of results — full batch must complete before response"],"requires":["Array of chart specifications","Sufficient memory for multiple chart renders","MCP client capable of handling large responses"],"input_types":["Array of chart configuration objects","Shared data source","Batch processing parameters"],"output_types":["Array of rendered chart images","Batch processing report/metadata","File paths (if saved to disk)"],"categories":["automation-workflow","image-visual"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":47,"verified":false,"data_access_risk":"moderate","permissions":["Node.js 16+ runtime","MCP client implementation (Claude Desktop, custom MCP host, or compatible tool)","TypeScript/JavaScript environment for server deployment","AntV G2/G2Plot library (included in server)","Valid chart configuration JSON matching AntV schema","Data in array-of-objects or matrix format","Structured input data (JSON arrays or objects)","Transformation specification in chart config","Data fields must be properly typed (numeric, string, date)","Canvas/headless browser support (Node.js canvas library)"],"failure_modes":["Chart generation happens server-side only — no client-side rendering options","Limited to AntV chart library capabilities — cannot extend with custom D3 or Plotly charts","MCP protocol overhead adds latency for simple single-chart requests vs direct REST APIs","No streaming support for progressive chart rendering — full chart must be generated before response","Limited to AntV's built-in chart types — cannot create custom composite or domain-specific visualizations","Configuration schema complexity increases with chart type — some advanced options may require deep AntV knowledge","No real-time data streaming — charts are static snapshots, not live-updating dashboards","Performance degrades with very large datasets (>100k points) due to client-side rendering constraints","Transformation capabilities are limited to basic operations — no complex window functions or recursive aggregations","No support for joining multiple datasets — single data source only","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.7525537813035567,"quality":0.43,"ecosystem":0.38999999999999996,"match_graph":0.25,"freshness":0.5,"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":"2026-05-24T12:16:25.635Z","last_scraped_at":"2026-05-03T15:18:25.566Z","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=antvis-mcp-server-chart","compare_url":"https://unfragile.ai/compare?artifact=antvis-mcp-server-chart"}},"signature":"um6PvEyNjrI6669oPp5dxDRJDOUh2Gc/ubFxqUzUfDofW4xzqnG5o4eIkZ7KEpSVgTbSXkg5VhKoxxGx/hhNCQ==","signedAt":"2026-06-19T22:55:09.484Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/antvis-mcp-server-chart","artifact":"https://unfragile.ai/antvis-mcp-server-chart","verify":"https://unfragile.ai/api/v1/verify?slug=antvis-mcp-server-chart","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"}}