mcp-server-chart vs Unity-AI-ProBuilder
Side-by-side comparison to help you pick between these two MCP servers.
mcp-server-chart by antvis | Unity-AI-ProBuilder by IvanMurzak | |
|---|---|---|
| Stars | ★ 4,068 | ★ 41 |
| 30d uses | 10,239 | — |
| Score | 84 | 45 |
| Official | — | — |
| Categories | AI / LLM ToolsDeveloper ToolsProductivity | Developer ToolsAI / LLM ToolsMedia |
| Language | TypeScript | C# |
| 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.
Unity-AI-ProBuilder · Summary
Unity MCP server that enables AI assistants to create and manipulate 3D meshes through natural language commands.
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
Unity-AI-ProBuilder · Use cases
- AI-assisted level prototyping in game development
- Procedural 3D asset generation through natural language commands
- Automated mesh optimization and transformation for Unity projects
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"]
}
}
}Unity-AI-ProBuilder · Install
Installation Options
- **Installer Package**: Download the [AI-ProBuilder-Installer.unitypackage](https://github.com/IvanMurzak/Unity-AI-ProBuilder/releases/latest/download/AI-ProBuilder-Installer.unitypackage) and import it into your Unity project.
- **OpenUPM-CLI**: Install via OpenUPM CLI with:
openupm add com.ivanmurzak.unity.mcp.probuilderMCP Client Configuration
Add to your MCP client configuration (e.g., Claude Desktop):
{
"mcpServers": {
"unity-probuilder": {
"command": "dotnet",
"args": ["run", "--project", "/path/to/Unity-AI-ProBuilder"],
"env": {}
}
}
}