mcp-server-chart
🤖 A visualization mcp & skills contains 25+ visual charts using @antvis. Using for chart generation and data analysis.
Install / Use
claude mcp add antvis -- npx -y github:antvis/mcp-server-chartIf the server publishes to npm under a different name, use that package instead — check the repo README.
MCP Server
Model Context Protocol server
Quality Score
Category
AI & Machine LearningSupported Platforms
Tags
Our assessment of mcp-server-chart
mcp-server-chart scores 93/100 on our quality scale, 208th of 953 AI & Machine Learning skills we index (top 22%).
Its MCP Server is 14 KB long, well organised into 17 sections with 16 code examples: a thorough specification that gives an agent plenty to work with.
With 4,415 GitHub stars, it is one of the more widely adopted skills in the catalogue.
Maintenance, license and trust
- The repository was last updated about 2 months ago, so mcp-server-chart is actively maintained.
- Our last check on 2026-10-21 found the source still online.
- It is released under the MIT license, a permissive license that allows use, modification and commercial use with attribution.
- Its trust signals score 100/100, with no cautions. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.
Safety scan
No issues foundOur scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands. An AI review of the same text found nothing harmful.
AI review by kimi-k2.7-code on 2026-09-24. Automated pattern scan on 2026-09-24. It catches known dangerous patterns, not every risk — read a skill before letting an agent act on it.
mcp-server-chart compared with similar skills
All 4 of these similar skills score higher than mcp-server-chart; compare them before choosing.
| Skill | Score | Stars | Updated | Format |
|---|---|---|---|---|
| mcp-server-chart (this skill)by antvis | 93 | 4.4k | 2mo ago | MCP Server |
| claude-memby thedotmack | 100 | 113.8k | today | CLAUDE.md |
| Agent-Reachby Panniantong | 100 | 109.5k | 1d ago | CLAUDE.md |
| Understand-Anythingby Egonex-AI | 100 | 91.0k | today | CLAUDE.md |
| headroomby headroomlabs-ai | 100 | 79.0k | today | CLAUDE.md |
Frequently asked questions
- How do I install mcp-server-chart?
- Run
claude mcp add antvis -- npx -y github:antvis/mcp-server-chart. The install tabs above show the steps for each supported agent. - Which AI agents does mcp-server-chart work with?
- It is written for Claude Code and Claude Desktop, as a MCP Server file. Other agents that read the same format can often use it too.
- Is mcp-server-chart safe to use?
- Our scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands. An AI review of the same text found nothing harmful. It is MIT-licensed and scores 100/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
- Is mcp-server-chart still maintained?
- The repository was last updated about 2 months ago, so mcp-server-chart is actively maintained.
Skill content
View source on GitHubMCP Server Chart
A Model Context Protocol server for generating charts using AntV. We can use this mcp server for chart generation and data analysis.
<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
- ✨ Features
- 🤖 Usage
- 🎨 Skill Usage
- 🚰 Run with SSE or Streamable transport
- 🎮 CLI Options
- ⚙️ Environment Variables
- 📠 Private Deployment
- 🗺️ Generate Records
- 🎛️ Tool Filtering
- 🔨 Development
- 📄 License
✨ 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" />generate_area_chart: Generate anareachart, used to display the trend of data under a continuous independent variable, allowing observation of overall data trends.generate_bar_chart: Generate abarchart, used to compare values across different categories, suitable for horizontal comparisons.generate_boxplot_chart: Generate aboxplot, used to display the distribution of data, including the median, quartiles, and outliers.generate_column_chart: Generate acolumnchart, used to compare values across different categories, suitable for vertical comparisons.generate_district_map- Generate adistrict-map, used to show administrative divisions and data distribution.generate_dual_axes_chart: Generate adual-axeschart, used to display the relationship between two variables with different units or ranges.generate_fishbone_diagram: Generate afishbonediagram, also known as an Ishikawa diagram, used to identify and display the root causes of a problem.generate_flow_diagram: Generate aflowchart, used to display the steps and sequence of a process.generate_funnel_chart: Generate afunnelchart, used to display data loss at different stages.generate_histogram_chart: Generate ahistogram, used to display the distribution of data by dividing it into intervals and counting the number of data points in each interval.generate_line_chart: Generate alinechart, used to display the trend of data over time or another continuous variable.generate_liquid_chart: Generate aliquidchart, used to display the proportion of data, visually representing percentages in the form of water-filled spheres.generate_mind_map: Generate amind-map, used to display thought processes and hierarchical information.generate_network_graph: Generate anetworkgraph, used to display relationships and connections between nodes.generate_organization_chart: Generate anorganizationalchart, used to display the structure of an organization and personnel relationships.generate_path_map- Generate apath-map, used to display route planning results for POIs.generate_pie_chart: Generate apiechart, used to display the proportion of data, dividing it into parts represented by sectors showing the percentage of each part.generate_pin_map- Generate apin-map, used to show the distribution of POIs.generate_radar_chart: Generate aradarchart, used to display multi-dimensional data comprehensively, showing multiple dimensions in a radar-like format.generate_sankey_chart: Generate asankeychart, used to display data flow and volume, representing the movement of data between different nodes in a Sankey-style format.generate_scatter_chart: Generate ascatterplot, used to display the relationship between two variables, showing data points as scattered dots on a coordinate system.generate_treemap_chart: Generate atreemap, used to display hierarchical data, showing data in rectangular forms where the size of rectangles represents the value of the data.generate_venn_chart: Generate avenndiagram, used to display relationships between sets, including intersections, unions, and differences.generate_violin_chart: Generate aviolinplot, used to display the distribution of data, combining features of boxplots and density plots to provide a more detailed view of the data distribution.generate_word_cloud_chart: Generate aword-cloud, used to display the frequency of words in textual data, with font sizes indicating the frequency of each word.generate_spreadsheet: Generate aspreadsheetor 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:
{
"mcpServers": {
"mcp-server-chart": {
"command": "npx",
"args": ["-y", "@antv/mcp-server-chart"]
}
}
}
On Window system:
{
"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:
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.
npm install -g @antv/mcp-server-chart
Run the server with your preferred transport option:
# 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.
cd docker
Deploy using docker-compose.
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.
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.
{
"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-SSRfor rendering. Such as,{ "type": "line", "data": [{ "time": "2025-05", "value": 512 }, { "time": "2025-06", "value": 1024 }] }. - Return: The return object of HTTP service.
- success:
booleanWhether generate chart image successfully. - resultObj:
stringThe chart image url. - errorMessage:
stringWhensuccess = false, return the error message.
- success:
[!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" butto
Truncated for display — read the full file on GitHub.
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Trust signals
From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.
