# mcp-server-chart を Homebrew でインストール mcp-server-chart のインストール経路、実行ファイル、メタデータ、AI エージェント向けセキュリティノートを確認します。 ## インストール ```sh sudo av install brew:mcp-server-chart ``` 追加のインストールコマンド: ### macOS - Homebrew (100%): ```sh brew install mcp-server-chart ``` 証拠: local Homebrew formula metadata ## パッケージ情報 - **パッケージキー:** brew:mcp-server-chart - **パッケージマネージャ:** Homebrew - **バージョン:** 0.9.10 - **ソース概要:** MCP with 25+ @antvis charts for visualization, generation, and analysis - **ホームページ:** - **生成日時:** 2026-08-03T19:37:03+00:00 ## 実行可能ファイル - mcp-server-chart (エイリアス) ## インストール挙動 - Bottle: 利用不可 ## バージョンと鮮度 - ページ生成日: 2026-08-03 - マネージャ版: 0.9.10 ## プロジェクトの歴史と使われ方 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. ### プロジェクトの歴史 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. ### 採用の歴史 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. ### 使われ方 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. ### パッケージ好きにとっての重要性 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. ### タイムライン - 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. ### ソース - - - - - source_facts.description ## セキュリティノート broad file, network, media, or database tool signal. - **Geiger リスク:** blue / 中 - broad file, network, media, or database tool signal ## Combined YAML source View the package source record on GitHub. [combined/mcp-server-chart.yml](https://github.com/mxcl/pkgdb/blob/main/combined/mcp-server-chart.yml) ## ソース - pkg.so package database - Geiger risk classifier - curated package history - pkgdb category and tag curation - cross-ecosystem install command graph