MCP Servers · antvis

mcp-server-chart

MCP Server Chart is a TypeScript-based visualization server that generates 26+ chart types using AntV libraries. It integrates with AI models via the Model Context Protocol, enabling chart generation and data analysis capabilities in LLM-driven applications.

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Source: GitHub — github.com/antvis/mcp-server-chart

4.2k

GitHub stars

400

Forks

TypeScript

Primary language

MIT

License (OSI-approved)

Key facts

Objective fields from the source. Values we can't verify are shown as “Unknown” rather than guessed.

Field	Value
Repository	antvis/mcp-server-chart
Owner	antvis
Primary language	TypeScript
License	MIT — OSI-approved
Stars	4.2k
Forks	400
Open issues	12
Latest release	0.9.10 (2026-02-25)
Last updated	2026-05-06
Source	https://github.com/antvis/mcp-server-chart

What mcp-server-chart is

Built on Node.js/TypeScript, it exposes MCP tools for programmatic chart generation across multiple chart types (area, bar, pie, sankey, network graphs, maps, etc.). Supports multiple transport protocols (stdio, SSE, streamable) and can be deployed standalone, in Docker, or as an npm package.

Quickstart

Get the mcp-server-chart source

Clone the repository and explore it locally.

terminalbash

1git clone https://github.com/antvis/mcp-server-chart.git2cd mcp-server-chart3# follow the project's README for install & configuration

Need it deployed, integrated, or customized instead? DEV.co ships production installs.

Best use cases

LLM-integrated data visualization

Enable Claude, other AI assistants, or IDEs (VSCode, Cursor, Cline) to generate charts on-demand from natural language descriptions or raw data, improving analytical workflows.

BI and reporting automation

Automate creation of diverse chart types for dashboards, reports, and business intelligence platforms where dynamic visualization selection is needed based on data characteristics.

Geographic and hierarchical data analysis

Leverage specialized visualizations (district maps, network graphs, org charts, mind maps, treemaps) for organizational, geographic, or relational data analysis in applications with Chinese market focus.

Implementation considerations

Transport protocol choice depends on deployment context: stdio for stdio-based MCP clients, SSE/streamable for HTTP-based integrations (Desktop app, web, Docker).
Geographic features require internet connectivity to AMap service; consider network policies and regional restrictions (China-focused).
MCP tools expose chart generation as discrete functions; requires MCP-compatible client integration (Claude, VSCode, Cline, Dify, or custom MCP hosts).
Environment variables support tool filtering (DISABLED_TOOLS), custom service endpoints (VIS_REQUEST_SERVER), and service metadata (SERVICE_ID) for flexibility.
Docker deployment provided; npm global install or npx execution are simpler alternatives for local/desktop use.

When to avoid it — and what to weigh

Real-time streaming analytics at scale — No evidence of optimization for high-frequency updates or large-scale streaming data; designed for on-demand chart generation rather than continuous monitoring dashboards.
Global geographic mapping required — Geographic charts (district-map, pin-map, path-map) use AMap service and are documented as China-only; unsuitable if worldwide mapping is required.
Offline-only or air-gapped environments — Geographic features depend on external AMap service; SSE and streamable transports require network access; limited support for fully offline operation.
Custom chart types or deep visualization control — Constrained to 26 predefined chart types; limited flexibility for highly specialized or proprietary visualization requirements not covered by AntV.

License & commercial use

MIT License: permissive open-source license allowing unrestricted use, modification, and distribution in proprietary and commercial projects, provided original copyright and license notice are retained.

MIT License explicitly permits commercial use without modification restrictions. Safe for commercial deployments, closed-source products, and SaaS platforms. No licensing fees or attribution demands beyond standard copyright notice.

DEV.co evaluation signals

Editorial assessment — not user reviews. Directional, with an explicit confidence level.

Signal	Assessment
Maintenance	Active
Documentation	Adequate
License clarity	Clear
Deployment complexity	Low
DEV.co fit	Strong
Assessment confidence	High

Security considerations

No explicit security policies or vulnerability disclosure process documented. Consider: MCP server runs local or in controlled network; input validation for chart data (untrusted JSON) should be reviewed; external AMap service calls expose geographic queries; no mention of rate limiting, authentication, or input size constraints.

Alternatives to consider

Plotly / Dash

Full-featured Python-based visualization framework with rich interactivity; better for standalone apps, but heavier and less LLM-native integration.

ECharts (Apache) + custom MCP wrapper

Similar chart library with broader international support and no geographic service dependency; requires custom MCP server development.

Observable Plot / Vega-Lite

Declarative, lightweight visualization grammars; more portable and standards-based, but less AI-assistant integration out-of-the-box.

Software development agency

Build on mcp-server-chart with DEV.co software developers

Integrate mcp-server-chart to enable intelligent, on-demand visualization in Claude, VSCode, and custom LLM applications. Deploy via npm, Docker, or cloud platforms in minutes.

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mcp-server-chart FAQ

Can I use this in production for a SaaS platform?

Yes, MIT License permits commercial use. Deploy via Docker or npm in production environments. Ensure network access to AMap for geographic features, and validate input data handling for untrusted sources.

What is the difference between MCP transport protocols (stdio, SSE, streamable)?

Stdio: local process communication, best for desktop apps. SSE (Server-Sent Events): HTTP long-polling, suitable for web clients. Streamable: custom streaming protocol, typically for advanced MCP hosts. Choose based on client environment.

Does it support non-Chinese geographic maps?

No, district-map, pin-map, and path-map tools use AMap service (China-only). Standard chart types (bar, line, pie, etc.) work globally. Consider ECharts or other libraries for international mapping.

How do I customize the chart output format?

Charts are generated as AntV JSON configurations. Client applications render them using AntV libraries. No built-in export to PNG/SVG; implement downstream rendering or use AntV's own render APIs.

Custom software development services

Need help beyond evaluating mcp-server-chart? DEV.co is a software development agency offering software development services and web development for teams of every size. Our software developers and web developers build custom software, web applications, APIs, and mcp servers integrations — and maintain them long-term.

Add Chart Generation to Your AI Application

Integrate mcp-server-chart to enable intelligent, on-demand visualization in Claude, VSCode, and custom LLM applications. Deploy via npm, Docker, or cloud platforms in minutes.

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