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mcp-server-chart

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

antvisantvis
83/ 100

公开评测 · 综合采用结论

证据充分,整体质量与安全表现优秀

查看评测依据 评测我的项目基于公开项目证据,非安全认证或安装推荐
4.4kstars
420forks
最近更新 2个月前
评测生成时间(北京时间)
本报告引擎
v3.17.3
当前引擎
v3.17.3

规则版本一致,但报告只反映生成时的证据,不代表项目代码和安全状态始终不变。

重新评测此项目

进入后确认来源与额度,提交才会创建任务。

核对代码版本与送评文本摘要

仅记录实际送评的受限文本,不是完整仓库审计、安装结果或运行时安全保证。Stars、下载量和仓库元数据为采集时的独立信号,不属于此 commit 快照。

antvis/mcp-server-chart @ e2a8fb7c185e17c75c067817ff1a2acfddf49aa1

目录树:df189235aaa1766bf76ffa85e1238fe319af0798

README 来源:README.md

  • README.md · 14088 字符
    SHA-256: 5af106e62e9c923b780de46579332eb1c305c5f7d5e167db1354160e85fd006a
  • docker-compose.yaml · 589 字符
    SHA-256: 0114f8e42978715ec6d3f2079f2b49b4aa086ca55455c0d8d8e3f43d6ff25c81
  • Dockerfile · 923 字符
    SHA-256: 2eb9a10722af3201f0d28d94b5ac1c192ebb652e92865a71992ef9f4e7c092e4
  • package.json · 1958 字符
    SHA-256: 2acb601c9b4ede1b488e7812703e5f21d843622cbfc4038b1b341edf18c50859
  • docker/docker-compose.yml · 413 字符
    SHA-256: 0c7c426d9d05f3012cd36dbe9adb0812e9fe863082d5b80d3c184f8a032c7fbf
  • docker/sse/Dockerfile · 307 字符
    SHA-256: 1388accd4bee7307d56e34111644cf466d6bbc8b529a35f5fb089aeb9b996cfe
  • docker/streamable/Dockerfile · 314 字符
    SHA-256: 953c32343435e2e932d2a5bfc8b963db55f98ce06714eed89b73f8ffe9acb2d9

摘要对应送评 UTF-8 文本,可能为限额节选,不等于 Git blob SHA。来源由采集方提供,摘要本身不证明来源真实性。

Evaluation report

综合采用结论

83
B
满分 100 · 静态采用参考
值得推荐低风险
决策摘要

证据充分,整体质量与安全表现优秀

92%
高置信度
88
文档
100
安全
78
质量
72
活跃
59
采用
  • 基础评测完成+25/25确定性评分与静态安全扫描已完成
  • README 有效证据+25/2511,536 个去重后的有效字符
  • 独立证据来源+12/203 类非重复证据,重复文件不叠加
  • 仓库元数据+10/10已取得仓库状态与采用数据
  • 活跃记录+5/5已取得最近提交时间
  • AI 复核+15/15已完成结构化 AI 证据复核

本报告评了什么

综合分用于静态采用筛选,不是任务成功率,也不代表使用 Skill 后的能力提升。

静态检查范围
记录 7 个文件 · 18,592 字符
只检查采集到的受限文本与已知风险模式;未读取的脚本、依赖和运行环境不在结论内。
AI 内容复核
已使用
复核送评文本的说明和设计,不是安装测试或实际任务执行。记录缺失时不推断已使用或未使用。
真实任务效果
本报告未提供实测证据
没有使用/不使用 Skill 的任务对照、重复运行或耗时与 token 成本结果。采用前仍需在隔离环境验证自己的任务。

脚本引用覆盖

脚本引用覆盖记录不可得;不推断没有引用或已经检查。

How it works · 时序图

图表生成请求流程

客户端经 MCP 调用工具,服务端再向渲染服务发起 HTTP 请求并返回图片 URL,存在多方请求响应关系

AI 提取 · 证据约束

左右滑动查看完整图示

图表生成请求流程客户端经 MCP 调用工具,服务端再向渲染服务发起 HTTP 请求并返回图片 URL,存在多方请求响应关系MCP客户端调用方图表MCP服务工具提供方渲染服务图表生成用户获取结果调用generate工具POST渲染请求返回图片URL返回图表结果
图示依据
  • • Usage 章节:通过 mcpServers 配置启动 npx @antv/mcp-server-chart
  • • Private Deployment:Method POST,返回 success/resultObj/errorMessage
  • • Environment Variables:VIS_REQUEST_SERVER 默认指向远程图表服务
五维表现
26+ 图表工具清单与 npx 接入示例具体,目标用户明确;但默认依赖远程渲染服务,工具入参 schema、权限与数据边界未展示,地理图仅限中国。
质量证据
  • Features 章节列出 generate_area_chart 至 generate_spreadsheet 共 26 项工具
  • Usage 章节给出 npx -y @antv/mcp-server-chart 的 mcpServers 配置
  • Environment Variables 表定义 VIS_REQUEST_SERVER、SERVICE_ID、DISABLED_TOOLS
  • Private Deployment 注明不支持 geographic-district-map、geographic-path-map、geographic-pin-map
  • Features 注释说明地理图使用 AMap 服务且仅支持中国境内
采用建议
优势
  • 问题与用途描述
  • 有效 README
  • 安装或接入步骤
  • 可执行示例
  • 未发现已知高风险模式
关注点
  • 缺少限制、权限或边界
  • 默认调用远程 VIS_REQUEST_SERVER,数据外发与隐私边界未说明
  • 各工具输入参数 schema 未在 README 展示
  • 地理可视化依赖 AMap 且仅支持中国境内
  • SERVICE_ID 记录功能需支付宝小程序,流程偏重
适合

在 Claude/Cursor 等 MCP 客户端中快速生成常见统计图表、需要私有化部署图表渲染服务的团队、数据分析场景下按图表类型选择可视化

不建议直接用于

需要完全离线、无外部服务依赖的场景、需要在中国境外生成地理可视化图表的场景、对工具入参 schema 有严格契约要求的集成方

也有自己的公开项目?先看完证据,再用当前规则生成独立报告。

评测我的项目 →
文档证据
88/100
问题与用途描述10 分
有效 README12 分
安装或接入步骤14 分
可执行示例16 分
输入、参数或工具说明11 分
输出或结果说明9 分
限制、权限或边界12 分
错误处理或排障8 分
许可证信息5 分
结构化章节3 分
安全证据
低风险
未发现已知高风险模式

静态扫描不是安全保证,生产接入前仍应人工复核权限和数据边界。

优先改进清单
  1. 01补充限制、权限或边界
方法、证据与局限展开
数据来源

GitHub Repository API

扫描范围

7 个文件 · 18,592 字符

评测引擎

v3.17.3 · AI 内容复核:已使用(deepseek-flash)

局限
  • 静态评测不会安装或执行项目代码
  • 安全扫描基于高信号文件与已知模式,不能替代人工审计
  • 流行度只反映采用程度,不代表安全或工程质量

30 天热度趋势

README

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 npm Version npm License codecov Listed on Skillselion Visitors

mcp-server-chart technical digram

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

Now 26+ charts supported.

mcp-server-chart preview
  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:

{
  "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

VariableDescriptionDefaultExample
VIS_REQUEST_SERVERCustom chart generation service URL for private deploymenthttps://antv-studio.alipay.com/api/gpt-vishttps://your-server.com/api/chart
SERVICE_IDService identifier for chart generation records-your-service-id-123
DISABLED_TOOLSComma-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-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):

my service identifier website

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):

{
  "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.

my map records website

🎛️ 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.

{
  "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:

npm install

Build the server:

npm run build

Start the MCP server:

npm run start

Start the MCP server with SSE transport:

node build/index.js -t sse

Start the MCP server with Streamable transport:

node build/index.js -t streamable

📄 License

MIT@AntV.