Chart

Communauté Autres

This server offers a wide variety of chart types with comprehensive Zod schema validation for type-safe chart configuration.

Que pouvez-vous faire avec Chart ?

  • 🎯 15+ Chart Types - Comprehensive chart library covering all major visualization needs
  • 🔒 Type Safety - Full Zod schema validation for all chart configurations
  • 🌐 Multiple Deployment Options - Local server, HTTP streaming, and SSE endpoints
  • 🚀 Claude.AI Integration - Ready-to-use endpoints for Claude.AI integration
  • 📊 Professional Charts - Support for financial, statistical, and business visualizations

Installation

Les étapes d'installation sont dans la documentation ci-dessous. Documentation

Documentation

Tirée du README du projet sur GitHub, actualisée chaque semaine. Les liens ouvrent GitHub.

Sommaire
  1. MCP Chart Server
  2. Claude.AI Integration (Free Running Version)
  3. Features
  4. Chart Types Supported
  5. Quick Start
  6. Usage Examples
  7. Configuration
  8. Development
  9. Chart Type Reference
  10. API Reference
  11. Contributing
  12. License
  13. Support
  14. Roadmap

MCP Chart Server

A Model Context Protocol (MCP) server that provides comprehensive chart generation capabilities. This server offers a wide variety of chart types with comprehensive Zod schema validation for type-safe chart configuration.

Claude.AI Integration (Free Running Version)

For immediate use with Claude.AI without local setup, use these public endpoints:

  • Streamable HTTP: https://chart.mcp.cloudcertainty.com/mcp
  • Server-Sent Events: https://chart.mcp.cloudcertainty.com/sse

Simply add either endpoint to your Claude.AI MCP configuration to start generating charts immediately.

Features

  • 🎯 15+ Chart Types - Comprehensive chart library covering all major visualization needs
  • 🔒 Type Safety - Full Zod schema validation for all chart configurations
  • 🌐 Multiple Deployment Options - Local server, HTTP streaming, and SSE endpoints
  • 🚀 Claude.AI Integration - Ready-to-use endpoints for Claude.AI integration
  • 📊 Professional Charts - Support for financial, statistical, and business visualizations

Chart Types Supported

Basic Charts
  • Bar Chart - Traditional bar charts with multiple datasets
  • Line Chart - Line charts with customizable styling and fill options
  • Pie Chart - Pie charts with hover effects and custom colors
  • Radar Chart - Multi-axis radar charts for comparative analysis
  • Polar Area Chart - Radial area charts for cyclical data
Advanced Charts
  • Doughnut Chart - Enhanced pie charts with center labels and semi-circle support
  • Scatter Plot - X/Y coordinate plotting with optional trend lines
  • Bubble Chart - Three-dimensional data visualization with bubble sizes
  • OHLC Chart - Financial candlestick charts with volume and indicators
Specialized Charts
  • Violin Plot - Statistical distribution visualization
  • Gauge Chart - Customizable gauge meters with thresholds
  • Radial Gauge - Simple radial progress indicators
  • Progress Bar - Linear progress indicators
  • Sparkline - Minimal trend visualization
  • Sankey Diagram - Flow and process visualization

Quick Start

Local Development
  1. Clone the repository
     git clone https://github.com/KamranBiglari/mcp-server-chart.git
     cd mcp-server-chart
  2. Install dependencies
     npm install
  3. Build the project
     npm run build
  4. Run the server
     npm start

Usage Examples

Basic Bar Chart
{
  "type": "bar",
  "data": {
    "labels": ["January", "February", "March", "April", "May"],
    "datasets": [
      { "label": "Sales", "data": [50, 60, 70, 180, 190] },
      { "label": "Expenses", "data": [100, 200, 300, 400, 500] }
    ]
  }
}
Financial OHLC Chart
{
  "type": "ohlc",
  "data": {
    "datasets": [
      {
        "label": "MSFT",
        "data": [
          {"x": 1459468800000, "o": 18.23, "h": 19.36, "l": 18.18, "c": 19.31}
        ],
        "color": {"up": "#26a69a", "down": "#ef5350", "unchanged": "#999"}
      }
    ]
  }
}
Advanced Doughnut Chart
{
  "type": "doughnut",
  "data": {
    "labels": ["Complete", "Remaining"],
    "datasets": [{"data": [75, 25], "backgroundColor": ["#4CAF50", "#E0E0E0"]}]
  },
  "options": {
    "circumference": 3.14159,
    "rotation": 3.14159,
    "plugins": {
      "doughnutlabel": {
        "labels": [{"text": "75%", "font": {"size": 24}}]
      }
    }
  }
}
Scatter Plot
{
  "type": "scatter",
  "data": {
    "datasets": [
      {
        "label": "Dataset 1",
        "data": [
          {"x": 2, "y": 4},
          {"x": 3, "y": 3},
          {"x": 5, "y": 8}
        ]
      }
    ]
  }
}

Configuration

MCP Client Configuration

Add to your MCP client configuration:

{
  "mcpServers": {
    "chart-server": {
      "command": "node",
      "args": ["path/to/mcp-server-chart/dist/index.js"]
    }
  }
}
Claude.AI Configuration

For Claude.AI integration, add one of these endpoints:

{
  "mcpServers": {
    "chart-server": {
      "url": "https://chart.mcp.cloudcertainty.com/mcp"
    }
  }
}

Development

Project Structure
src/
├── charts/           # Chart type definitions
│   ├── bar.ts       # Bar chart schema
│   ├── line.ts      # Line chart schema
│   ├── ohlc.ts      # OHLC chart schema
│   └── ...          # Other chart types
├── utils/           # Utility functions
│   ├── index.ts     # Zod to JSON schema conversion
│   └── schema.ts    # Common schema definitions
└── index.ts         # Main MCP server
Building
npm run build      # Build TypeScript
npm run dev        # Development mode with watch
npm run lint       # Run linting
Testing
npm test           # Run test suite
npm run test:watch # Watch mode testing

Chart Type Reference

Chart TypeUse CaseData Format
barCategorical comparisons{labels: string[], datasets: {data: number[]}[]}
lineTrends over time{labels: string[], datasets: {data: number[]}[]}
piePart-to-whole relationships{labels: string[], datasets: {data: number[]}[]}
doughnutEnhanced pie charts{labels: string[], datasets: {data: number[]}[]}
radarMulti-variable comparison{labels: string[], datasets: {data: number[]}[]}
polarAreaCyclical data{labels: string[], datasets: {data: number[]}[]}
scatterCorrelation analysis{datasets: {data: {x: number, y: number}[]}[]}
bubbleThree-dimensional data{datasets: {data: {x: number, y: number, r: number}[]}[]}
ohlcFinancial data{datasets: {data: {x: number, o: number, h: number, l: number, c: number}[]}[]}
violinStatistical distributions{labels: string[], datasets: {data: number[][]}[]}
gaugeKPI dashboards{datasets: {value: number, data: number[]}[]}
sankeyProcess flows{datasets: {data: {from: string, to: string, flow: number}[]}[]}

API Reference

Tools Available

All chart types are available as MCP tools with the following pattern:

  • Tool name matches chart type (e.g., bar, line, ohlc)
  • Input schema validates chart configuration
  • Returns generated chart data
Schema Validation

Every chart type includes comprehensive Zod schemas that validate:

  • Chart type and structure
  • Data format and types
  • Styling options
  • Chart-specific configurations

Contributing

  1. Fork the repository
  2. Create a feature branch
  3. Add your chart type or improvement
  4. Include tests and documentation
  5. Submit a pull request

License

MIT License - see LICENSE file for details

Support

  • 📚 Documentation: Check the inline schema documentation
  • 🐛 Issues: Report bugs via GitHub Issues
  • 💬 Discussions: Use GitHub Discussions for questions
  • 🌐 Live Demo: Try the public endpoints with Claude.AI

Roadmap

  • [ ] Real-time data binding
  • [ ] Custom theme support
  • [ ] Export formats (PNG, SVG, PDF)
  • [ ] Animation and interaction options
  • [ ] Dashboard layout compositions

Questions fréquentes

Qu'est-ce que Chart ?

This server offers a wide variety of chart types with comprehensive Zod schema validation for type-safe chart configuration.

Comment installer Chart ?

Suivez les étapes d'installation de sa documentation, affichée sur cette page et dans son dépôt.

Chart est-il open source ?

Oui. Son code est sur GitHub sous licence MIT.

Qui maintient Chart ?

Il est publié par KamranBiglari. AI.tn le référence sans le maintenir ni le recommander.

Issu des listes communautaires awesome-mcp-servers et du dépôt GitHub du projet. Être listé n'est pas une recommandation : vérifiez le code et les permissions d'un serveur avant de lui donner accès à vos données.