MCP Chart Server
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@MCP Chart ServerCreate a bar chart of monthly sales for 2024"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
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/mcpServer-Sent Events:
https://chart.mcp.cloudcertainty.com/sse
Simply add either endpoint to your Claude.AI MCP configuration to start generating charts immediately.

Related MCP server: MCP Server Chart
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
Clone the repository
git clone https://github.com/KamranBiglari/mcp-server-chart.git cd mcp-server-chartInstall dependencies
npm installBuild the project
npm run buildRun 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 serverBuilding
npm run build # Build TypeScript
npm run dev # Development mode with watch
npm run lint # Run lintingTesting
npm test # Run test suite
npm run test:watch # Watch mode testingChart Type Reference
Chart Type | Use Case | Data Format |
| Categorical comparisons |
|
| Trends over time |
|
| Part-to-whole relationships |
|
| Enhanced pie charts |
|
| Multi-variable comparison |
|
| Cyclical data |
|
| Correlation analysis |
|
| Three-dimensional data |
|
| Financial data |
|
| Statistical distributions |
|
| KPI dashboards |
|
| Process flows |
|
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
Fork the repository
Create a feature branch
Add your chart type or improvement
Include tests and documentation
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
This server cannot be deployed
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