mcp-server-chart vs daisyui-mcp
Side-by-side comparison to help you pick between these two MCP servers.
mcp-server-chart by antvis | daisyui-mcp by birdseyevue | |
|---|---|---|
| Stars | ★ 4,068 | ★ 67 |
| 30d uses | 10,239 | — |
| Score | 84 | 46 |
| Official | — | — |
| Categories | AI / LLM ToolsDeveloper ToolsProductivity | AI / LLM ToolsDeveloper ToolsProductivity |
| Language | TypeScript | Python |
| Last commit | this month | 1 mo ago |
mcp-server-chart · Summary
A TypeScript MCP server for generating 26+ visualization charts using AntV, supporting multiple chart types and deployment options.
daisyui-mcp · Summary
A token-efficient MCP server providing DaisyUI component documentation to AI assistants.
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
daisyui-mcp · Use cases
- AI assistants building UI interfaces with DaisyUI components
- Developers looking for quick reference to DaisyUI syntax and examples
- Teams standardizing on DaisyUI for consistent UI implementation
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"]
}
}
}daisyui-mcp · Install
Installation
- Clone the repository:
git clone https://github.com/birdseyevue/daisyui-mcp.git
cd daisyui-mcp- Create a virtual environment:
python -m venv venv
source venv/bin/activate # or venv\Scripts\activate on Windows- Install dependencies:
pip install -r requirements.txt- Fetch component docs:
python update_components.py- Run the server:
python mcp_server.pyClaude Desktop Configuration
Add to claude_desktop_config.json:
{
"mcpServers": {
"daisyui": {
"command": "<path-to-repo>/venv/bin/python",
"args": ["<path-to-repo>/mcp_server.py"]
}
}
}