mcp-server-chart vs py-xiaozhi
Side-by-side comparison to help you pick between these two MCP servers.
mcp-server-chart by antvis | py-xiaozhi by huangjunsen0406 | |
|---|---|---|
| Stars | ★ 4,068 | ★ 3,309 |
| 30d uses | 10,239 | — |
| Score | 84 | 56 |
| Official | — | — |
| Categories | AI / LLM ToolsDeveloper ToolsProductivity | AI / LLM ToolsDeveloper ToolsProductivity |
| 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.
py-xiaozhi · Summary
A Python-based Xiaozhi AI voice assistant with MCP tools integration, supporting GUI/CLI/GPI interfaces and multimodal interactions.
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
py-xiaozhi · Use cases
- Voice-controlled desktop assistant with multimodal capabilities
- Home automation through voice commands and tool integration
- Development platform for custom voice assistant applications
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"]
}
}
}py-xiaozhi · Install
# Clone repository
git clone https://github.com/huangjunsen0406/py-xiaozhi.git
cd py-xiaozhi
# Install dependencies (CLI/GPIO mode)
uv sync
# or: pip install -e .
# Install with GUI support
uv sync --extra gui
# or: pip install -e '.[gui]'
# Run the application
python main.py # GUI mode (default)
python main.py --mode cli # CLI mode
python main.py --protocol mqtt # MQTT protocolFor Claude Desktop integration, add to claude_desktop_config.json:
{
"mcpServers": {
"xiaozhi": {
"command": "python",
"args": ["/path/to/py-xiaozhi/main.py"]
}
}
}