jupyter-mcp-server vs ultimate_mcp_server
Side-by-side comparison to help you pick between these two MCP servers.
jupyter-mcp-server by datalayer | ultimate_mcp_server by Dicklesworthstone | |
|---|---|---|
| Stars | ★ 1,103 | ★ 149 |
| 30d uses | — | — |
| Score | 54 | 85 |
| Official | — | — |
| Categories | Developer ToolsProductivityAI / LLM Tools | AI / LLM ToolsBrowser AutomationFile System |
| Language | Python | Python |
| Last commit | this month | 2 mo ago |
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.
ultimate_mcp_server · Summary
Comprehensive MCP server providing dozens of capabilities for AI agents including LLM delegation, browser automation, document processing, and cognitive memory systems.
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
ultimate_mcp_server · Use cases
- Complex document processing and analysis with OCR and structured data extraction
- Web automation and research across multiple sites with browser control
- Cost-optimized AI workflows through intelligent task delegation between models
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"
}
}
}
}ultimate_mcp_server · Install
Installation
- Clone the repository:
git clone https://github.com/Dicklesworthstone/ultimate_mcp_server.git
cd ultimate_mcp_server- Install dependencies:
pip install -e .- For Claude Desktop integration, add to your claude_desktop_config.json:
{
"mcpServers": {
"ultimate-mcp": {
"command": "python",
"args": ["-m", "ultimate_mcp_server"],
"env": {
"PYTHONPATH": "."
}
}
}
}- Run the server:
python -m ultimate_mcp_server