mcp-server-chart vs DebugMCP
Side-by-side comparison to help you pick between these two MCP servers.
mcp-server-chart by antvis | DebugMCP by microsoft | |
|---|---|---|
| Stars | ★ 4,068 | ★ 349 |
| 30d uses | 10,239 | — |
| Score | 84 | 53 |
| Official | — | — |
| Categories | AI / LLM ToolsDeveloper ToolsProductivity | Developer ToolsAI / LLM ToolsProductivity |
| Language | TypeScript | TypeScript |
| Last commit | this month | this month |
mcp-server-chart · Summary
A TypeScript MCP server for generating 26+ visualization charts using AntV, supporting multiple chart types and deployment options.
DebugMCP · Summary
DebugMCP enables AI agents to debug code in VS Code with breakpoints, stepping, and variable inspection.
mcp-server-chart · Use cases
- Data analysts creating visual reports from datasets
- AI assistants generating custom charts based on user requests
- Web applications embedding visualization capabilities via HTTP API
DebugMCP · Use cases
- AI agents autonomously debugging code by setting breakpoints and stepping through execution
- Evaluating expressions and inspecting variables at runtime to diagnose issues
- Starting and managing debugging sessions across multiple programming languages
mcp-server-chart · Install
Installation
Install globally:
npm install -g @antv/mcp-server-chartFor Desktop Apps (e.g., Claude Desktop, VSCode):
{
"mcpServers": {
"mcp-server-chart": {
"command": "npx",
"args": ["-y", "@antv/mcp-server-chart"]
}
}
}For Windows:
{
"mcpServers": {
"mcp-server-chart": {
"command": "cmd",
"args": ["/c", "npx", "-y", "@antv/mcp-server-chart"]
}
}
}DebugMCP · Install
Installation
**Option 1: VS Code Marketplace**
- Visit: [https://marketplace.visualstudio.com/items?itemName=ozzafar.debugmcpextension](https://marketplace.visualstudio.com/items?itemName=ozzafar.debugmcpextension)
- Click "Install"
**Option 2: Direct Link**
- Copy and paste in your browser:
vscode:extension/ozzafar.debugmcpextension
**Option 3: Within VS Code**
- Open VS Code
- Go to Extensions (Ctrl+Shift+X / Cmd+Shift+X)
- Search for "DebugMCP"
- Click Install
**Manual MCP Server Registration** Add to your AI assistant's configuration:
{
"mcpServers": {
"debugmcp": {
"type": "http",
"url": "http://localhost:3001/mcp",
"description": "DebugMCP - AI-powered debugging assistant"
}
}
}