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Chart MCP Server

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🤖 A visualization mcp & skills contains 25+ visual charts using @antvis. Using for chart generation and data analysis.

MIT
typescript
other
4.4Kstars
420forks
Scanned Nov 1, 2026
WebsiteRepositoryGITHUB
Automated scan (limited checks) · 2026-11-01

This grade comes from an automated MCPSafe scan of the server's JavaScript, TypeScript and Python source on 2026-11-01. It read the whole repository (53 files). It checks for leaked credentials, shell or code injection from function inputs, unsafe deserialization, malware signatures, install-time scripts, and weak password handling. It does not check for path traversal, server-side request forgery, prompt injection in tool descriptions, network exposure, SQL injection, cross-site scripting, or vulnerable dependencies. It has not been manually reviewed, and the code may have changed since the scan.

A+100%
Scanned 4d ago

Excellent Security

Vulnerabilities Found
0Crit
0High
0Med
0Low
0Info

Trust Score 80

Review required
Trust grade B

Trust is stricter than security: it combines reviewed security, MCP capability risk, supply-chain metadata, quality, popularity, freshness, and penalties for unknowns.

Security
100
MCP risk
42
Supply chain
92
Maintenance
55
Docs
100
Freshness
100
Risk traits
Runs shell commands
Filesystem access
Network/API access
Requires secrets
Remote transport
Why it scores well
  • • No reviewed severe vulnerabilities published
  • • Strong project quality signals
  • • Good documentation surface
  • • Solid supply-chain metadata
  • • Recently scanned
What reduces confidence
  • • MCP risk traits: Runs shell commands, Filesystem access, Network/API access

Security ScoreA+

100
out of 100

Vulnerabilities Found

0
Crit
0
High
0
Medi
0
Low
0
Info
Last scanned: 11/1/2026

Quality ScoreB

72
out of 100
55
Maint.
53
Popular
100
Docs
78
Compat
Maintenance55%
Popularity53%
Documentation100%
Compatibility78%

Maintenance55

Unknown
Commit Frequency65%
Release Frequency35%
Issue Response65%

Popularity53

4.4K
Stars
0
Downloads
420
Forks
Stars Score100%
Downloads Score0%
Forks Score92%

Documentation100

README Quality100%

Available Documentation

API DocsExamplesChangelog

Compatibility78

MCP Spec Compliance80%
Transport Support75%

Features

TypeScript

Supported Transports

STDIO

Vulnerabilities(0)

This grade comes from an automated scan. Individual findings from automated scans are not published.

READMEChart MCP Server

View source

MCP Server Chart

A Model Context Protocol server for generating charts using AntV. We can use this mcp server for chart generation and data analysis.

![build](https://github.com/antvis/mcp-server-chart/actions/workflows/build.yml) ![npm Version](https://www.npmjs.com/package/@antv/mcp-server-chart) ![npm License](https://www.npmjs.com/package/@antv/mcp-server-chart) ![codecov](https://codecov.io/gh/antvis/mcp-server-chart) ![Listed on Skillselion](https://skillselion.com/mcp/tool/io.github.antvis/mcp-server-chart) Visitors

<img width="768" alt="mcp-server-chart technical digram" src="https://mdn.alipayobjects.com/huamei_qa8qxu/afts/img/A*XVH-Srg-b9UAAAAAgGAAAAgAemJ7AQ/fmt.avif" />

This is a TypeScript-based MCP server that provides chart generation capabilities. It allows you to create various types of charts through MCP tools. You can also use it in Dify.

📋 Table of Contents

- VIS_REQUEST_SERVER

- SERVICE_ID

- DISABLED_TOOLS

✨ Features

Now 26+ charts supported.

<img width="768" alt="mcp-server-chart preview" src="https://mdn.alipayobjects.com/huamei_qa8qxu/afts/img/A*IyIRQIQHyKYAAAAAgCAAAAgAemJ7AQ/fmt.avif" />

  1. generate_area_chart: Generate an area chart, used to display the trend of data under a continuous independent variable, allowing observation of overall data trends.
  2. generate_bar_chart: Generate a bar chart, used to compare values across different categories, suitable for horizontal comparisons.
  3. generate_boxplot_chart: Generate a boxplot, used to display the distribution of data, including the median, quartiles, and outliers.
  4. generate_column_chart: Generate a column chart, used to compare values across different categories, suitable for vertical comparisons.
  5. generate_district_map - Generate a district-map, used to show administrative divisions and data distribution.
  6. generate_dual_axes_chart: Generate a dual-axes chart, used to display the relationship between two variables with different units or ranges.
  7. generate_fishbone_diagram: Generate a fishbone diagram, also known as an Ishikawa diagram, used to identify and display the root causes of a problem.
  8. generate_flow_diagram: Generate a flowchart, used to display the steps and sequence of a process.
  9. generate_funnel_chart: Generate a funnel chart, used to display data loss at different stages.
  10. generate_histogram_chart: Generate a histogram, used to display the distribution of data by dividing it into intervals and counting the number of data points in each interval.
  11. generate_line_chart: Generate a line chart, used to display the trend of data over time or another continuous variable.
  12. generate_liquid_chart: Generate a liquid chart, used to display the proportion of data, visually representing percentages in the form of water-filled spheres.
  13. generate_mind_map: Generate a mind-map, used to display thought processes and hierarchical information.
  14. generate_network_graph: Generate a network graph, used to display relationships and connections between nodes.
  15. generate_organization_chart: Generate an organizational chart, used to display the structure of an organization and personnel relationships.
  16. generate_path_map - Generate a path-map, used to display route planning results for POIs.
  17. generate_pie_chart: Generate a pie chart, used to display the proportion of data, dividing it into parts represented by sectors showing the percentage of each part.
  18. generate_pin_map - Generate a pin-map, used to show the distribution of POIs.
  19. generate_radar_chart: Generate a radar chart, used to display multi-dimensional data comprehensively, showing multiple dimensions in a radar-like format.
  20. generate_sankey_chart: Generate a sankey chart, used to display data flow and volume, representing the movement of data between different nodes in a Sankey-style format.
  21. generate_scatter_chart: Generate a scatter plot, used to display the relationship between two variables, showing data points as scattered dots on a coordinate system.
  22. generate_treemap_chart: Generate a treemap, used to display hierarchical data, showing data in rectangular forms where the size of rectangles represents the value of the data.
  23. generate_venn_chart: Generate a venn diagram, used to display relationships between sets, including intersections, unions, and differences.
  24. generate_violin_chart: Generate a violin plot, used to display the distribution of data, combining features of boxplots and density plots to provide a more detailed view of the data distribution.
  25. generate_word_cloud_chart: Generate a word-cloud, used to display the frequency of words in textual data, with font sizes indicating the frequency of each word.
  26. generate_spreadsheet: Generate a spreadsheet or pivot table for displaying tabular data. When 'rows' or 'values' fields are provided, it renders as a pivot table (cross-tabulation); otherwise, it renders as a regular table.
[!NOTE]
The above geographic visualization chart generation tool uses AMap service and currently only supports map generation within China.

🤖 Usage

To use with Desktop APP, such as Claude, VSCode, Cline, Cherry Studio, Cursor, and so on, add the MCP server config below. On Mac system:

json
{
  "mcpServers": {
    "mcp-server-chart": {
      "command": "npx",
      "args": ["-y", "@antv/mcp-server-chart"]
    }
  }
}

On Window system:

json
{
  "mcpServers": {
    "mcp-server-chart": {
      "command": "cmd",
      "args": ["/c", "npx", "-y", "@antv/mcp-server-chart"]
    }
  }
}

Also, you can use it on aliyun, modelscope, glama.ai, smithery.ai or others with HTTP, SSE Protocol.

🎨 Skill Usage

If you are using an AI IDE with skill support (like Claude Code), you can use the chart-visualization skill to automatically select the best chart type and generate visualizations.

You can add the skill from https://github.com/antvis/chart-visualization-skills using:

bash
npx skills add antvis/chart-visualization-skills

Then provide your data or describe the visualization you want. The skill will intelligently choose from 25+ chart types and generate the chart for you.

🚰 Run with SSE or Streamable transport

Run directly

Install the package globally.

bash
npm install -g @antv/mcp-server-chart

Run the server with your preferred transport option:

bash
# For SSE transport (default endpoint: /sse)
mcp-server-chart --transport sse

# For Streamable transport with custom endpoint
mcp-server-chart --transport streamable

Then you can access the server at:

  • SSE transport: http://localhost:1122/sse
  • Streamable transport: http://localhost:1122/mcp

Docker deploy

Enter the docker directory.

bash
cd docker

Deploy using docker-compose.

bash
docker compose up -d

Then you can access the server at:

  • SSE transport: http://localhost:1123/sse
  • Streamable transport: http://localhost:1122/mcp

🎮 CLI Options

You can also use the following CLI options when running the MCP server. Command options by run cli with -H.

plain
MCP Server Chart CLI

Options:
  --transport, -t  Specify the transport protocol: "stdio", "sse", or "streamable" (default: "stdio")
  --host, -h       Specify the host for SSE or streamable transport (default: localhost)
  --port, -p       Specify the port for SSE or streamable transport (default: 1122)
  --endpoint, -e   Specify the endpoint for the transport:
                   - For SSE: default is "/sse"
                   - For streamable: default is "/mcp"
  --help, -H       Show this help message

⚙️ Environment Variables

| Variable | Description | Default | Example |

| -------------------- | :--------------------------------------------------------- | -------------------------------------------- | --------------------------------------------- |

| VIS_REQUEST_SERVER | Custom chart generation service URL for private deployment | https://antv-studio.alipay.com/api/gpt-vis | https://your-server.com/api/chart |

| SERVICE_ID | Service identifier for chart generation records | - | your-service-id-123 |

| DISABLED_TOOLS | Comma-separated list of tool names to disable | - | generate_fishbone_diagram,generate_mind_map |

📠 Private Deployment

MCP Server Chart provides a free chart generation service by default. For users with a need for private deployment, they can try using VIS_REQUEST_SERVER to customize their own chart generation service.

json
{
  "mcpServers": {
    "mcp-server-chart": {
      "command": "npx",
      "args": ["-y", "@antv/mcp-server-chart"],
      "env": {
        "VIS_REQUEST_SERVER": "<YOUR_VIS_REQUEST_SERVER>"
      }
    }
  }
}

You can use AntV's project GPT-Vis-SSR to deploy an HTTP service in a private environment, and then pass the URL address through env VIS_REQUEST_SERVER.

  • Method: POST
  • Parameter: Which will be passed to GPT-Vis-SSR for rendering. Such as, { "type": "line", "data": [{ "time": "2025-05", "value": 512 }, { "time": "2025-06", "value": 1024 }] }.
  • Return: The return object of HTTP service.

- success: boolean Whether generate chart image successfully.

- resultObj: string The chart image url.

- errorMessage: string When success = false, return the error message.

[!NOTE]
The private deployment solution currently does not support geographic visualization chart generation include 3 tools: geographic-district-map, geographic-path-map, geographic-pin-map.

🗺️ Generate Records

By default, users are required to save the results themselves, but we also provide a service for viewing the chart generation records, which requires users to generate a service identifier for themselves and configure it.

Use Alipay to scan and open the mini program to generate a personal service identifier (click the "My" menu below, enter the "My Services" page, click the "Generate" button, and click the "Copy" button after success):

<img alt="my service identifier website" width="240" src="https://mdn.alipayobjects.com/huamei_dxq8v0/afts/img/dASoTLt6EywAAAAARqAAAAgADu43AQFr/fmt.webp" />

Next, you need to add the SERVICE_ID environment variable to the MCP server configuration. For example, the configuration for Mac is as follows (for Windows systems, just add the env variable):

json
{
  "mcpServers": {
    "AntV Map": {
      "command": "npx",
      "args": ["-y", "@antv/mcp-server-chart"],
      "env": {
        "SERVICE_ID": "***********************************"
      }
    }
  }
}

After updating the MCP Server configuration, you need to restart your AI client application and check again whether you have started and connected to the MCP Server successfully. Then you can try to generate the map again. After the generation is successful, you can go to the "My Map" page of the mini program to view your map generation records.

<img alt="my map records website" width="240" src="https://mdn.alipayobjects.com/huamei_dxq8v0/afts/img/RacFR7emR3QAAAAAUkAAAAgADu43AQFr/original" />

🎛️ Tool Filtering

You can disable specific chart generation tools using the DISABLED_TOOLS environment variable. This is useful when certain tools have compatibility issues with your MCP client or when you want to limit the available functionality.

json
{
  "mcpServers": {
    "mcp-server-chart": {
      "command": "npx",
      "args": ["-y", "@antv/mcp-server-chart"],
      "env": {
        "DISABLED_TOOLS": "generate_fishbone_diagram,generate_mind_map"
      }
    }
  }
}

Available tool names for filtering See the ✨ Features.

🔨 Development

Install dependencies:

bash
npm install

Build the server:

bash
npm run build

Start the MCP server:

bash
npm run start

Start the MCP server with SSE transport:

bash
node build/index.js -t sse

Start the MCP server with Streamable transport:

bash
node build/index.js -t streamable

📄 License

MIT@AntV.

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Server Information

Source
GITHUB
Language
typescript
License
MIT
Transport
STDIO
Added
Aug 11, 2026
Updated
Oct 1, 2026