@antv/mcp-server-chart
MCP ServerFreeA Model Context Protocol server for generating charts using AntV. This is a TypeScript-based MCP server that provides chart generation capabilities. It allows you to create various types of charts through MCP tools.
Capabilities8 decomposed
mcp-based chart generation via standardized tool protocol
Medium confidenceExposes chart generation as MCP tools that conform to the Model Context Protocol specification, allowing any MCP client (Claude, custom agents, IDE extensions) to invoke chart creation through a standardized JSON-RPC interface. The server implements MCP's tool registry pattern, declaring available chart types and their parameters as discoverable tools that clients can introspect and call with structured arguments.
Implements chart generation as a first-class MCP tool server rather than a REST API or library wrapper, enabling seamless integration with Claude and other MCP clients through the standardized protocol's tool discovery and invocation mechanisms
Provides native MCP integration for AntV charts where alternatives like Plotly or Vega require custom MCP wrappers or REST adapters
antv g2 chart type abstraction and parameter mapping
Medium confidenceWraps AntV's G2 charting library and maps its chart type specifications (bar, line, scatter, pie, etc.) to MCP tool parameters, handling the translation between MCP's JSON schema-based tool definitions and G2's imperative chart configuration API. This abstraction layer normalizes chart creation across different visualization types while preserving G2's advanced features like custom encodings and interactions.
Provides a schema-based abstraction over AntV G2 that maps MCP tool parameters directly to G2 chart specifications, enabling LLMs to discover and invoke chart types through structured tool definitions rather than requiring knowledge of G2's configuration object structure
More tightly integrated with AntV than generic charting MCP servers, exposing G2-specific features while maintaining MCP's standardized tool interface
data transformation and normalization for chart input
Medium confidenceAccepts raw data in multiple formats (JSON arrays, CSV-like structures, nested objects) and normalizes it into AntV G2's expected data format (array of records with consistent field names). This includes handling missing values, type coercion, and field mapping to ensure data compatibility with the charting engine regardless of source format.
Implements data normalization as part of the MCP tool invocation pipeline, allowing clients to pass raw data directly without preprocessing, with the server handling format detection and field mapping transparently
Reduces client-side data preparation burden compared to libraries requiring pre-normalized input, making it more accessible to LLM agents that may not have sophisticated data transformation capabilities
interactive chart configuration through mcp tool parameters
Medium confidenceExposes chart interactivity and styling options (tooltips, legends, axis labels, color schemes, animations) as MCP tool parameters with JSON schema validation. This allows clients to configure visual and interactive aspects of charts through the same standardized tool interface, with the server translating parameter values into G2 interaction and style configurations.
Exposes G2's interaction and styling configuration as discoverable MCP tool parameters with JSON schema, allowing LLMs to understand and invoke customization options without direct API knowledge
Provides more discoverable customization than direct G2 API calls, with LLM-friendly parameter documentation through MCP's schema introspection
chart rendering and image export with multiple output formats
Medium confidenceRenders charts to multiple output formats (SVG, PNG, canvas) using AntV's rendering pipeline, with configurable resolution, dimensions, and export options. The server handles the rendering lifecycle — creating chart instances, applying data and configuration, rendering to the specified format, and returning the output as base64-encoded data or file paths suitable for MCP clients to consume.
Integrates AntV's rendering pipeline into the MCP server lifecycle, handling the full chart-to-image transformation and returning output in formats directly consumable by MCP clients without requiring client-side rendering libraries
Offloads rendering to the server, eliminating client-side rendering dependencies and enabling chart generation in headless or non-browser environments
mcp tool discovery and schema introspection for chart capabilities
Medium confidenceImplements MCP's tools/list and tools/call endpoints to expose available chart types and their parameters as discoverable tools with full JSON schema definitions. This allows MCP clients (including Claude) to introspect what chart types are available, what parameters each accepts, and what data formats are expected, enabling intelligent tool use without hardcoded knowledge of the server's capabilities.
Implements MCP's tool registry pattern with full JSON schema definitions for each chart type, enabling LLMs to discover and reason about chart generation capabilities through standardized protocol introspection rather than documentation
Provides machine-readable tool definitions that LLMs can parse and understand, compared to REST APIs that require manual documentation reading
error handling and validation with structured mcp error responses
Medium confidenceValidates MCP tool invocations against declared JSON schemas, catches chart generation errors (invalid data, unsupported configurations), and returns structured error responses through the MCP protocol. This includes parameter validation, data type checking, and graceful degradation with informative error messages that help clients understand what went wrong and how to correct it.
Implements validation and error handling as part of the MCP tool invocation pipeline, with errors returned through the standardized MCP error response format rather than as execution results
Provides protocol-level error handling that MCP clients can reliably parse and act upon, compared to ad-hoc error formats in custom APIs
stateless chart generation with request-scoped configuration
Medium confidenceGenerates charts on a per-request basis without maintaining server-side state, with all chart configuration and data passed in each MCP tool invocation. This stateless design enables horizontal scaling and simplifies deployment, as each request is independent and the server doesn't need to track chart sessions or maintain configuration caches.
Implements a stateless request-response model where all chart context is passed in each MCP invocation, enabling simple horizontal scaling without distributed state management
Simpler deployment and scaling compared to stateful chart servers that require session management or shared state stores
Capabilities are decomposed by AI analysis. Each maps to specific user intents and improves with match feedback.
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Best For
- ✓LLM application developers building agents that need visualization capabilities
- ✓Teams integrating AntV charts into Claude-powered workflows
- ✓Developers building MCP-compatible tools and wanting to add charting
- ✓Developers who want AntV's charting power without learning G2's full API surface
- ✓LLM-driven applications where the model needs to choose and configure chart types
- ✓Teams standardizing on AntV for data visualization across multiple applications
- ✓Developers building data pipelines that feed into chart generation
- ✓LLM agents that need to handle diverse data sources and visualize them
Known Limitations
- ⚠Limited to AntV chart library capabilities — cannot generate charts from other visualization libraries
- ⚠MCP protocol overhead adds latency compared to direct library calls
- ⚠Requires MCP client support — not usable from standard REST/HTTP clients without an adapter
- ⚠Abstraction may hide some advanced G2 features requiring direct API access
- ⚠Parameter mapping is fixed — customizing the schema requires modifying server code
- ⚠Performance depends on G2's rendering — complex charts with large datasets may be slow
Requirements
Input / Output
UnfragileRank
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Package Details
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A Model Context Protocol server for generating charts using AntV. This is a TypeScript-based MCP server that provides chart generation capabilities. It allows you to create various types of charts through MCP tools.
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