MCP Catalogs
Home

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 uses10,239
Score8453
Official
Categories
AI / LLM ToolsDeveloper ToolsProductivity
Developer ToolsAI / LLM ToolsProductivity
LanguageTypeScriptTypeScript
Last committhis monththis 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-chart

For 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**

  1. Open VS Code
  2. Go to Extensions (Ctrl+Shift+X / Cmd+Shift+X)
  3. Search for "DebugMCP"
  4. 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"
    }
  }
}
Comparison generated from public README + GitHub signals. Last updated automatically.