mcp-server-chart vs jupyter-mcp-server
Side-by-side comparison to help you pick between these two MCP servers.
mcp-server-chart by antvis | jupyter-mcp-server by datalayer | |
|---|---|---|
| Stars | ★ 4,068 | ★ 1,103 |
| 30d uses | 10,239 | — |
| Score | 84 | 54 |
| Official | — | — |
| Categories | AI / LLM ToolsDeveloper ToolsProductivity | Developer ToolsProductivityAI / LLM Tools |
| 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.
jupyter-mcp-server · Summary
An MCP server that enables AI systems to interact with Jupyter notebooks in real-time, providing tools for notebook management and cell execution.
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
jupyter-mcp-server · Use cases
- AI assistants analyzing and executing code in Jupyter notebooks
- Automated notebook management and cell execution workflows
- Real-time collaboration between AI systems and human notebook users
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"]
}
}
}jupyter-mcp-server · Install
# Install required dependencies
pip install jupyterlab==4.4.1 jupyter-collaboration==4.0.2 jupyter-mcp-tools>=0.1.4 ipykernel pycrdt
# Start JupyterLab
jupyter lab --port 8888 --IdentityProvider.token MY_TOKEN --ip 0.0.0.0Configure your MCP client (e.g., Claude Desktop):
{
"mcpServers": {
"jupyter": {
"command": "uvx",
"args": ["jupyter-mcp-server@latest"],
"env": {
"JUPYTER_URL": "http://localhost:8888",
"JUPYTER_TOKEN": "MY_TOKEN",
"ALLOW_IMG_OUTPUT": "true"
}
}
}
}