mcp-server-chart vs whatsapp-mcp
Side-by-side comparison to help you pick between these two MCP servers.
mcp-server-chart by antvis | whatsapp-mcp by verygoodplugins | |
|---|---|---|
| Stars | ★ 4,068 | ★ 49 |
| 30d uses | 10,239 | — |
| Score | 84 | 45 |
| Official | — | — |
| Categories | AI / LLM ToolsDeveloper ToolsProductivity | CommunicationMediaAI / LLM Tools |
| Language | TypeScript | Go |
| 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.
whatsapp-mcp · Summary
WhatsApp MCP server enables Claude to read and send WhatsApp messages with full media support.
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
whatsapp-mcp · Use cases
- Automate message responses and management for WhatsApp conversations
- Search and analyze message history for specific information
- Send automated messages or media files to contacts or groups
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"]
}
}
}whatsapp-mcp · Install
Installation
- **Clone the repository**
``bash git clone https://github.com/verygoodplugins/whatsapp-mcp.git cd whatsapp-mcp ``
- **Start the WhatsApp bridge**
``bash cd whatsapp-bridge go run . `` Scan the QR code with WhatsApp on your phone to authenticate.
- **Configure Claude Desktop**
Add to ~/Library/Application Support/Claude/claude_desktop_config.json: ``json { "mcpServers": { "whatsapp": { "command": "uv", "args": [ "--directory", "/path/to/whatsapp-mcp/whatsapp-mcp-server", "run", "main.py" ] } } } ``