MCP Server Chart Project Introduction
Project Overview
MCP Server Chart is a Model Context Protocol (MCP) server developed in TypeScript, specifically designed for generating various types of visualization charts using the AntV charting library. This project provides developers with a powerful chart generation solution that can be easily integrated into various applications.
Key Features
🎯 Core Functionality
- Diverse Chart Support: Supports 25+ different types of charts
- TypeScript Development: Type-safe with strong code maintainability
- MCP Protocol Compliance: Follows the Model Context Protocol standard
- AntV Integration: Based on the industry-leading AntV visualization library
- Claude Desktop Integration: Can be used directly in Claude Desktop
- Dify Platform Support: Supports usage within the Dify platform
📊 Supported Chart Types
Basic Chart Types:
generate_area_chart
- Area Chart
generate_bar_chart
- Bar Chart
generate_column_chart
- Column Chart
generate_line_chart
- Line Chart
generate_pie_chart
- Pie Chart
generate_scatter_chart
- Scatter Chart
generate_histogram_chart
- Histogram
Advanced Chart Types:
generate_dual_axes_chart
- Dual Axes Chart
generate_radar_chart
- Radar Chart
generate_treemap_chart
- Treemap
generate_network_graph
- Network Graph
generate_word_cloud_chart
- Word Cloud Chart
Professional Chart Types:
generate_fishbone_diagram
- Fishbone Diagram
generate_flow_diagram
- Flow Diagram
generate_mind_map
- Mind Map
Each chart type generates a corresponding chart and returns an image URL, making it convenient for use in various application scenarios.
Technical Architecture
Development Language and Framework
- Main Language: TypeScript
- Protocol Standard: Model Context Protocol (MCP)
- Charting Library: AntV (Ant Group's open-source data visualization solution)
Project Structure
The project follows a standard MCP server architecture, providing standardized tool interfaces for client-side calls.
Installation and Usage
Quick Start
Method 1: Using npx (Recommended)
npx -y @antv/mcp-server-chart
Method 2: Local Development
# Install dependencies
npm install
# Build the project
npm run build
# Start the MCP server
npm run start
Claude Desktop Integration
When using with Claude Desktop, the following server configuration needs to be added to the configuration file:
{
"mcpServers": {
"mcp-server-chart": {
"command": "npx",
"args": [
"-y",
"@antv/mcp-server-chart"
]
}
}
}
Application Scenarios
Data Visualization Applications
- Dashboard Development: Generate real-time data visualization charts for management dashboards
- Reporting Systems: Automatically generate various statistical reports and analysis charts
- Data Analysis: Provide data scientists and analysts with rapid chart generation capabilities
Web Application Integration
- Dynamic Chart Generation: Dynamically generate charts in Web applications based on user needs
- API Service: Provide chart generation as a microservice for other applications to call
- Content Management System: Provide chart generation functionality for CMS systems
AI Application Enhancement
- Claude Integration: Enhance Claude's data visualization capabilities
- Intelligent Analysis: Combine AI models for data analysis and visualization
- Automated Reporting: Automatically generate analysis reports containing charts
Technical Advantages
Standardized Protocol
- Follows the MCP protocol standard, ensuring compatibility with various AI tools and platforms
- Provides a unified interface specification for easy integration and maintenance
High-Quality Charting Library
- Based on the AntV charting library, ensuring the professionalism and aesthetics of the charts
- Supports a rich set of chart types and customization options
Easy to Integrate
- Provides simple installation and configuration methods
- Supports multiple deployment methods to adapt to different usage scenarios
Summary
MCP Server Chart is a powerful and easy-to-use chart generation solution. It combines the standardized advantages of the MCP protocol with the professionalism of the AntV charting library, providing developers with an ideal data visualization tool. Whether for Web application development, data analysis, or AI application enhancement, this project can provide reliable chart generation services.
