Viz MCP Server
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Related Servers
- AlicenseAqualityDmaintenanceEnables AI agents to generate and render charts as PNG, SVG, or WebP images directly in chat interfaces. Supports Chart.js specifications and natural language descriptions for creating visualizations from data.34 npm1MIT
- AlicenseNot gradedqualityNot gradedmaintenanceEnables AI agents to generate beautiful, presentation-ready charts (SVG + PNG) with zero setup, supporting various chart types and styling options.25 npmMIT
- AlicenseBqualityDmaintenanceEnables AI agents to render branded charts as inline images and persistent hosted URLs, supporting explicit chart types and automatic chart suggestion from data.227 npmMIT
- AlicenseBqualityDmaintenanceEnables AI agents to generate chart visualizations by interacting with QuickChart API, allowing users to create and retrieve chart image links through natural language requests.121 npm4Apache 2.0
- FlicenseNot gradedqualityDmaintenanceEnables AI agents to generate UNHCR-styled data visualizations including bar, line, pie, and scatter charts with refugee and population data, returning charts as base64-encoded images.-
- FlicenseNot gradedqualityBmaintenanceEnables agents to compile a semantic chart description (data, semantic types, chart intent) into native specs for five charting libraries and headlessly render three of them to SVG or PNG, delivered inline or as signed, expiring artifact URLs. It also exposes tools for validating charts, listing chart types and themes, plus resources and prompts that supply chart-authoring and theming conventions.-
TDQS
Scored across 5 tools
Each tool targets a distinct chart type (bar, histogram, line, pie, scatter) with no functional overlap. Descriptions and parameter differences make selection unambiguous.
All tools follow a uniform `create_<chart_type>` snake_case pattern. The verb `create` is consistent across all tools, and each ends with a specific noun for the chart type.
Five tools cover the essential set of basic chart types. This is well-scoped for a dedicated charting server, neither too few nor excessive.
The tool set covers the most common visualization types (bar, histogram, line, pie, scatter). Missing advanced chart types like area or box plots, but the set is complete for typical use cases and includes customization options (palette, labels, output format).