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使用 Homebrew 安装 mcp-server-chart

查看 mcp-server-chart 的安装路径、可执行文件、元数据以及面向 AI 代理工作流的安全说明。

安装

其他安装命令

macOS

Homebrew已验证 · 100%
brew install mcp-server-chart

local Homebrew formula metadata

概览

软件包摘要

MCP with 25+ @antvis charts for visualization, generation, and analysis

命令和别名

  • mcp-server-chart

历史

项目历史与用法

mcp-server-chart is an AntV-maintained MCP server for chart generation, visualization, and lightweight data analysis. It exposes more than two dozen chart and diagram tools through MCP.

项目历史

The repository was created under the AntV organization in April 2025. Its README describes a TypeScript MCP server built around AntV visualization capabilities and intended for chart generation and data analysis.

The documented feature set expanded into a broad catalog of chart tools, including area, bar, boxplot, column, map, flow, funnel, histogram, line, pie, radar, sankey, scatter, treemap, venn, violin, word cloud, and spreadsheet generation. The README also connects the server to AntV's chart-visualization skill and private deployment options.

采用历史

The project is distributed as the npm package `@antv/mcp-server-chart` and can be launched by AI desktop and IDE clients with `npx`. The README also lists HTTP, SSE, marketplace, and platform integrations such as Dify, ModelScope, Glama, Smithery, and Aliyun.

GitHub metadata showed thousands of stars and hundreds of forks by July 2026, giving it one of the stronger adoption signals among domain-specific MCP servers. Its attraction is obvious for package users: it turns chart rendering into a reusable MCP service rather than requiring every agent workflow to ship charting code.

使用方式

The common desktop-client configuration uses `npx -y @antv/mcp-server-chart` as a stdio MCP server command. The CLI can also run with SSE or Streamable HTTP transports, with configurable host, port, and endpoint flags.

The README documents environment variables for custom chart-generation services, service identifiers for generated-record workflows, and disabling selected tools. A private deployment path uses AntV's GPT-Vis-SSR service and a `VIS_REQUEST_SERVER` environment variable.

为什么软件包爱好者会关心

mcp-server-chart is significant because it packages a substantial visualization surface as a single MCP server. That is exactly the sort of domain capability package managers are good at distributing: install one command, then let multiple clients call it through a stable protocol.

For MCP ecosystem watchers, it also shows how established JavaScript visualization projects moved into AI-agent tooling by wrapping existing rendering services and chart grammars as protocol tools.

时间线

  • 2025: GitHub repository created under antvis/mcp-server-chart.
  • 2025: README documents 25-plus chart-generation tools through MCP.
  • 2025: npm and desktop-client usage documented with `@antv/mcp-server-chart`.
  • 2026: 0.9.x releases continue and repository metadata shows broad adoption.

Related projects

  • AntV is the upstream visualization project family behind the charting capabilities.
  • antvis/chart-visualization-skills is documented as a companion skill for choosing chart types.
  • antvis/GPT-Vis provides related rendering infrastructure for private deployments.

安全态势

风险级别:blue

broad file, network, media, or database tool signal.

风险分类器

blue 风险 · 中 置信度 · tool

原因

  • broad file, network, media, or database tool signal

信号

  • text:server

安装行为

  • 未记录 Homebrew bottle 元数据。

建议审查

在无人值守的代理使用前,请检查该工具是否读取明文凭据、写入远程状态、发布制品或调用插件。

可执行文件

已安装的可执行文件

命令类型暴露范围备注
mcp-server-chart可执行文件已索引可执行文件从本地可执行文件索引发现。

新鲜度

版本和新鲜度

这些信号区分页生成时间、软件包管理器活动和上游发布比较。只有存在证据 URL 和可比较版本时,才会提示版本落后。

页面生成时间2026-08-03
管理器版本0.9.10
管理器更新时间
本地数据未知
上游不可用
检测到的最新版本未检测到
  • OK没有生成新鲜度警告。

安装元数据

软件包元数据

软件包键brew:mcp-server-chart
版本0.9.10
软件包管理器Homebrew
主页https://github.com/antvis/mcp-server-chart
Bottle未记录
服务未声明

来源线索

由仓库数据生成

此页面由 av-webscripts/generate-pkg-sqlite.py 生成的私有软件包 SQLite 工件提供。

使用的来源

  • Geiger risk classifier
  • cross-ecosystem install command graph
  • curated package history
  • pkg.so package database
  • pkgdb category and tag curation