STDIO Transport
1. Start JupyterLab
Environment setup
Make sure you have the following packages installed in your environment. The collaboration package is needed as the modifications made on the notebook can be seen thanks to Jupyter Real Time Collaboration.
pip install jupyterlab==4.4.1 jupyter-collaboration==4.0.2 jupyter-mcp-tools>=0.1.4 ipykernel
pip uninstall -y pycrdt datalayer_pycrdt
pip install datalayer_pycrdt==0.12.17
JupyterLab start
Then, start JupyterLab with the following command.
jupyter lab --port 8888 --IdentityProvider.token MY_TOKEN --ip 0.0.0.0
You can also run make jupyterlab if you cloned the repository.
The --ip is set to 0.0.0.0 to allow the MCP Server running in a Docker container to access your local JupyterLab.
For JupyterHub:
- Set the environment variable
JUPYTERHUB_ALLOW_TOKEN_IN_URL=1in the single-user environment. - Ensure your API token (
MY_TOKEN) is created withaccess:serversscope in the Hub.
2. Setup Jupyter MCP Server
Choose your deployment method: uvx (lightweight, recommended for first try) or Docker (production-ready).
Before You Start:
- Ensure the port in your configuration matches your
jupyter labcommand port - See the server configuration guide for all available options and detailed examples
Using UVX (Quick Start)
First, install uv:
pip install uv
uv --version # should be 0.6.14 or higher
Simplified Configuration (Recommended):
{
"mcpServers": {
"jupyter": {
"command": "uvx",
"args": ["jupyter-mcp-server@latest"],
"env": {
"JUPYTER_URL": "http://localhost:8888",
"JUPYTER_TOKEN": "MY_TOKEN",
"ALLOW_IMG_OUTPUT": "true"
}
}
}
}
Advanced Configuration (Optional)
For deployments requiring separate document storage and runtime execution:
{
"mcpServers": {
"jupyter": {
"command": "uvx",
"args": ["jupyter-mcp-server@latest"],
"env": {
"DOCUMENT_URL": "http://localhost:8888",
"DOCUMENT_TOKEN": "MY_TOKEN",
"DOCUMENT_ID": "notebook.ipynb",
"RUNTIME_URL": "http://localhost:8888",
"RUNTIME_TOKEN": "MY_TOKEN",
"ALLOW_IMG_OUTPUT": "true"
}
}
}
}
Using Docker (Production)
Configuration varies by operating system. For complete configuration options, see the server configuration guide.
For MacOS and Windows
Simplified Configuration (Recommended):
{
"mcpServers": {
"jupyter": {
"command": "docker",
"args": [
"run", "-i", "--rm",
"-e", "JUPYTER_URL",
"-e", "JUPYTER_TOKEN",
"-e", "ALLOW_IMG_OUTPUT",
"datalayer/jupyter-mcp-server:latest"
],
"env": {
"JUPYTER_URL": "http://host.docker.internal:8888",
"JUPYTER_TOKEN": "MY_TOKEN",
"ALLOW_IMG_OUTPUT": "true"
}
}
}
}
Advanced Configuration (Optional)
For deployments requiring separate document storage and runtime execution:
{
"mcpServers": {
"jupyter": {
"command": "docker",
"args": [
"run", "-i", "--rm",
"-e", "DOCUMENT_URL",
"-e", "DOCUMENT_TOKEN",
"-e", "DOCUMENT_ID",
"-e", "RUNTIME_URL",
"-e", "RUNTIME_TOKEN",
"-e", "ALLOW_IMG_OUTPUT",
"datalayer/jupyter-mcp-server:latest"
],
"env": {
"DOCUMENT_URL": "http://host.docker.internal:8888",
"DOCUMENT_TOKEN": "MY_TOKEN",
"DOCUMENT_ID": "notebook.ipynb",
"RUNTIME_URL": "http://host.docker.internal:8888",
"RUNTIME_TOKEN": "MY_TOKEN",
"ALLOW_IMG_OUTPUT": "true"
}
}
}
}
For Linux
Simplified Configuration (Recommended):
{
"mcpServers": {
"jupyter": {
"command": "docker",
"args": [
"run", "-i", "--rm",
"-e", "JUPYTER_URL",
"-e", "JUPYTER_TOKEN",
"-e", "ALLOW_IMG_OUTPUT",
"--network=host",
"datalayer/jupyter-mcp-server:latest"
],
"env": {
"JUPYTER_URL": "http://localhost:8888",
"JUPYTER_TOKEN": "MY_TOKEN",
"ALLOW_IMG_OUTPUT": "true"
}
}
}
}
Advanced Configuration (Optional)
For deployments requiring separate document storage and runtime execution:
{
"mcpServers": {
"jupyter": {
"command": "docker",
"args": [
"run", "-i", "--rm",
"-e", "DOCUMENT_URL",
"-e", "DOCUMENT_TOKEN",
"-e", "DOCUMENT_ID",
"-e", "RUNTIME_URL",
"-e", "RUNTIME_TOKEN",
"-e", "ALLOW_IMG_OUTPUT",
"--network=host",
"datalayer/jupyter-mcp-server:latest"
],
"env": {
"DOCUMENT_URL": "http://localhost:8888",
"DOCUMENT_TOKEN": "MY_TOKEN",
"DOCUMENT_ID": "notebook.ipynb",
"RUNTIME_URL": "http://localhost:8888",
"RUNTIME_TOKEN": "MY_TOKEN",
"ALLOW_IMG_OUTPUT": "true"
}
}
}
}
For advanced configurations with separate document storage and runtime execution, see the complete configuration examples.
Troubleshooting
Common Issues
Connection refused or invalid JSON:
- Verify Jupyter server is running:
curl http://localhost:8888 - Check
JUPYTER_TOKENmatches your server token - For Docker on macOS/Windows: Use
http://host.docker.internal:8888 - For Docker on Linux: Add
--network=hostflag
Authentication errors:
- Test token:
curl -H "Authorization: token YOUR_TOKEN" http://localhost:8888/api/sessions - Check token in Jupyter server logs or URL parameters
For detailed troubleshooting and advanced configuration, see the configuration guide.