mcp-server-chart vs mcp-server
Side-by-side comparison to help you pick between these two MCP servers.
mcp-server-chart by antvis | mcp-server by keboola | |
|---|---|---|
| Stars | ★ 4,068 | ★ 84 |
| 30d uses | 10,239 | — |
| Score | 84 | 46 |
| Official | — | — |
| Categories | AI / LLM ToolsDeveloper ToolsProductivity | DatabaseDeveloper 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.
mcp-server · Summary
Keboola MCP Server bridges AI agents with Keboola platform, exposing data, SQL queries, and job triggers as MCP 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
mcp-server · Use cases
- AI agents access and query Keboola data tables directly using MCP tools
- Natural language creation of SQL transformations within AI assistants
- Building automated data workflows triggered by AI agents
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"]
}
}
}mcp-server · Install
Installation
Remote MCP Server (Recommended)
- Navigate to your Keboola Project Settings →
MCP Servertab - Copy the server URL (format:
https://mcp.<YOUR_REGION>.keboola.com/mcp) - Configure your AI assistant with the URL
- Authenticate with your Keboola account
Claude Desktop Integration
{
"mcpServers": {
"keboola": {
"command": "http",
"args": ["https://mcp.<YOUR_REGION>.keboola.com/mcp"]
}
}
}Local Development
- Install Python 3.10+ and
uv - Clone the repository
- Set environment variables:
- KBC_STORAGE_TOKEN - KBC_STORAGE_API_URL - KBC_WORKSPACE_SCHEMA - Optional: KBC_BRANCH_ID
- Start the server:
``bash python -m mcp_server --transport <stdio|streamable-http> ``