mcp-server-chart vs python-notebook-mcp
Side-by-side comparison to help you pick between these two MCP servers.
mcp-server-chart by antvis | python-notebook-mcp by UsamaK98 | |
|---|---|---|
| Stars | ★ 4,068 | ★ 45 |
| 30d uses | 10,239 | — |
| Score | 84 | 42 |
| Official | — | — |
| Categories | AI / LLM ToolsDeveloper ToolsProductivity | Developer ToolsAI / LLM ToolsProductivity |
| Language | TypeScript | Python |
| Last commit | this month | 11 mo ago |
mcp-server-chart · Summary
A TypeScript MCP server for generating 26+ visualization charts using AntV, supporting multiple chart types and deployment options.
python-notebook-mcp · Summary
A Python MCP server for AI assistants to create, edit and view Jupyter notebooks.
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
python-notebook-mcp · Use cases
- AI-assisted data analysis in Jupyter notebooks
- Automated notebook creation for repetitive tasks
- Content generation and editing in educational notebooks
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"]
}
}
}python-notebook-mcp · Install
Installation
- Clone the repository:
git clone https://github.com/UsamaK98/python-notebook-mcp.git
cd python-notebook-mcp- Create and activate virtual environment:
uv venv
source .venv/bin/activate # or .venv\Scripts\activate.bat on Windows- Install dependencies:
uv pip install -r requirements.txtClaude Desktop Configuration
Add to claude_desktop_config.json:
{
"mcpServers": {
"jupyter": {
"command": "/full/path/to/.venv/bin/python",
"args": ["/full/path/to/server.py"]
}
}
}Alternative with fastmcp
fastmcp install server.py --name "Jupyter Notebook MCP"