mcp-server-chart vs comfy-pilot
Side-by-side comparison to help you pick between these two MCP servers.
mcp-server-chart by antvis | comfy-pilot by ConstantineB6 | |
|---|---|---|
| Stars | ★ 4,068 | ★ 186 |
| 30d uses | 10,239 | — |
| Score | 84 | 48 |
| Official | — | — |
| Categories | AI / LLM ToolsDeveloper ToolsProductivity | AI / LLM ToolsDeveloper ToolsProductivity |
| Language | TypeScript | Python |
| Last commit | this month | 3 mo ago |
mcp-server-chart · Summary
A TypeScript MCP server for generating 26+ visualization charts using AntV, supporting multiple chart types and deployment options.
comfy-pilot · Summary
MCP server + embedded terminal allowing Claude Code to view, edit, and run ComfyUI workflows programmatically.
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
comfy-pilot · Use cases
- Automatically build complex ComfyUI workflows from simple descriptions
- Modify existing workflows based on visual feedback from generated images
- Manage models and custom nodes through natural language commands
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"]
}
}
}comfy-pilot · Install
Installation
**CLI (Recommended):**
comfy node install comfy-pilot**ComfyUI Manager:**
- Open ComfyUI
- Click **Manager** → **Install Custom Nodes**
- Search for "Comfy Pilot"
- Click **Install**
- Restart ComfyUI
**Git Clone:**
cd ~/Documents/ComfyUI/custom_nodes && git clone https://github.com/ConstantineB6/comfy-pilot.gitThe MCP server is automatically configured for Claude Code. Add to ~/.claude.json if needed:
{
"mcpServers": {
"comfyui": {
"command": "python3",
"args": ["/path/to/comfy-pilot/mcp_server.py"]
}
}
}