mcp-server-chart vs mingli-mcp
Side-by-side comparison to help you pick between these two MCP servers.
mcp-server-chart by antvis | mingli-mcp by spyfree | |
|---|---|---|
| Stars | ★ 4,068 | ★ 2 |
| 30d uses | 10,239 | — |
| Score | 84 | 38 |
| Official | — | — |
| Categories | AI / LLM ToolsDeveloper ToolsProductivity | AI / LLM ToolsOther |
| Language | TypeScript | Python |
| Last commit | this month | 2 mo ago |
mcp-server-chart · Summary
A TypeScript MCP server for generating 26+ visualization charts using AntV, supporting multiple chart types and deployment options.
mingli-mcp · Summary
A feature-rich fortune telling MCP server supporting Zi Wei Doushu, Bazi, and planned astrology systems with multi-language output.
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
mingli-mcp · Use cases
- Fortune tellers can use it to quickly generate birth charts and analysis for clients
- AI assistants can provide personalized fortune analysis through MCP integration
- Developers can integrate fortune-telling capabilities into their applications
- Users can get multi-dimensional life insights through various palace analyses
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"]
}
}
}mingli-mcp · Install
Installation
Using uvx (Recommended)
Add to your MCP configuration:
{
"mcpServers": {
"mingli": {
"command": "uvx",
"args": ["mingli-mcp"],
"env": {
"LOG_LEVEL": "INFO"
}
}
}
}From source
git clone https://github.com/spyfree/mingli-mcp
cd mingli-mcp
python3 -m venv venv
source venv/bin/activate
pip install -r requirements.txtThen configure your MCP client to use:
{
"mcpServers": {
"mingli": {
"command": "/path/to/venv/bin/python",
"args": ["/path/to/mingli_mcp.py"]
}
}
}