mcp-server-chart vs Embody
Side-by-side comparison to help you pick between these two MCP servers.
mcp-server-chart by antvis | Embody by dylanroscover | |
|---|---|---|
| Stars | ★ 4,068 | ★ 102 |
| 30d uses | 10,239 | — |
| Score | 84 | 47 |
| Official | — | — |
| Categories | AI / LLM ToolsDeveloper ToolsProductivity | Developer ToolsMediaAI / LLM Tools |
| Language | TypeScript | Python |
| 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.
Embody · Summary
MCP server for TouchDesigner that lets AI assistants build, wire, and debug networks with 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
Embody · Use cases
- AI-assisted visual programming in TouchDesigner without manual operator creation
- Version control and branching of complex visual projects through diffable network files
- Debugging TouchDesigner networks through natural language commands to AI assistants
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"]
}
}
}Embody · Install
Installation
- Download the Embody
.toxfrom the [release page](https://github.com/dylanroscover/Embody/releases) - Drag it into your TouchDesigner project
- Tag operators by selecting any COMP or DAT and pressing
lctrltwice - Enable the Envoy MCP server by toggling the
Envoyenableparameter on the Embody COMP
The server starts on localhost:9870 and auto-creates a .mcp.json in your repo root.
For Claude Code integration, the .mcp.json should look like:
{
"mcpServers": {
"envoy": {
"type": "http",
"url": "http://localhost:9870/mcp"
}
}
}