mcp-server-chart vs editor-mcp-server
Side-by-side comparison to help you pick between these two MCP servers.
mcp-server-chart by antvis | editor-mcp-server by playcanvas | |
|---|---|---|
| Stars | ★ 4,068 | ★ 108 |
| 30d uses | 10,239 | — |
| Score | 84 | 46 |
| Official | — | — |
| Categories | AI / LLM ToolsDeveloper ToolsProductivity | Developer ToolsAI / LLM ToolsBrowser Automation |
| Language | TypeScript | TypeScript |
| Last commit | this month | 4 mo ago |
mcp-server-chart · Summary
A TypeScript MCP server for generating 26+ visualization charts using AntV, supporting multiple chart types and deployment options.
editor-mcp-server · Summary
MCP server for automating PlayCanvas editor through entity and asset management tools.
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
editor-mcp-server · Use cases
- Automate repetitive entity creation and manipulation tasks in PlayCanvas scenes
- Programmatically manage assets through AI-powered commands
- Connect PlayCanvas with Claude for intelligent scene editing
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"]
}
}
}editor-mcp-server · Install
Installation
- Install dependencies:
npm install
- Install Chrome Extension:
- Visit chrome://extensions/ and enable Developer mode - Click Load unpacked and select the extension folder - Load the PlayCanvas Editor
- Configure MCP server (Claude Desktop example):
``json { "mcpServers": { "playcanvas": { "command": "npx", "args": [ "tsx", "/path/to/editor-mcp-server/src/server.ts" ], "env": { "PORT": "52000" } } } } ``
- Connect the editor:
- Open PlayCanvas Editor in Chrome - Click the Extensions icon and select PlayCanvas Editor MCP Extension - Click CONNECT (ensure port matches your MCP config)