mcp-server-chart vs datawrapper-mcp
Side-by-side comparison to help you pick between these two MCP servers.
mcp-server-chart by antvis | datawrapper-mcp by palewire | |
|---|---|---|
| Stars | ★ 4,068 | ★ 38 |
| 30d uses | 10,239 | — |
| Score | 84 | 45 |
| 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.
datawrapper-mcp · Summary
An MCP server for creating Datawrapper charts through AI assistants, with comprehensive chart management tools.
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
datawrapper-mcp · Use cases
- Create data visualizations by simply describing what chart you want from your data
- Publish and share charts through AI assistants without leaving your conversation
- Update chart styling and data dynamically through conversational 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"]
}
}
}datawrapper-mcp · Install
Installation
- Get your Datawrapper API token from https://app.datawrapper.de/account/api-tokens
- Install the package via pip:
pip install datawrapper-mcp
Claude Desktop Configuration
Add this to your claude_desktop_config.json:
{
"mcpServers": {
"datawrapper": {
"command": "uvx",
"args": ["datawrapper-mcp"],
"env": {
"DATAWRAPPER_ACCESS_TOKEN": "your-token-here"
}
}
}
}For other clients (Claude Code, VS Code Copilot, Cursor, ChatGPT, OpenAI Codex) and Kubernetes deployment, see the [installation guide](INSTALLATION.md).