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ChartMCP MCP Server

@doramart

リポジトリ

基本情報

カテゴリ

その他

トランスポート

stdio

作者

doramart

投稿者

燊 肖

ChartMCP MCP Server について

概要はまだありません

#chartmcp#chart-generator#data-visualization

ChartMCP MCP Server の設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

{
  "mcpServers": {
    "chartMCP": {
      "name": "chartMCP",
      "command": "npx",
      "args": [
        "build/index.js"
      ],
      "env": {
        "API_KEY": "",
        "BASE_URL": "https://api.deepseek.com",
        "AI_MODEL": "deepseek-chat",
        "MAX_FILE_SIZE": "512000",
        "UPLOAD_DIR": ""
      }
    }
  }
}

ChartMCP MCP Server のツール

ツール一覧はまだありません

この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。

上のボタンで一時的なサンドボックスでこのサーバーを実行し、ツール一覧を取得できます。

概要

What is ChartMCP?

ChartMCP is an MCP‑based chart generation server. It reads data from files (CSV, XLSX, XLS, JSON) and databases (MySQL, SQLite, MariaDB), then produces chart configurations based on user prompts.

How to use ChartMCP?

Requires Node.js v18+. Install dependencies with npm install, build with npm run build, then publish to an MCP host. Configure the UPLOAD_DIR environment variable for file uploads and any database‑related variables as needed.

Key features of ChartMCP

  • Supports CSV, XLSX, XLS, and JSON file formats
  • Connects to MySQL, SQLite, and MariaDB databases
  • Generates charts from natural‑language prompts
  • Supports bar, line, pie, and other chart types
  • Automatically analyzes and processes input data

Use cases of ChartMCP

  • Create visualizations from uploaded CSV or spreadsheet files
  • Generate chart configs directly from database query results
  • Automate chart creation in MCP‑compatible tools and agents
  • Quickly prototype different chart types by changing the prompt

よくある質問

1

What data sources does ChartMCP support?

It supports CSV, XLSX, XLS, and JSON files, as well as MySQL, SQLite, and MariaDB databases.

2

What runtime environment does ChartMCP need?

Node.js version 18 or later is required.

3

How do I use the `generate_chart` tool?

Call it with a `dataResource`

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