🪐 🔧 Model Context Protocol (MCP) Server for Jupyter.
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Jupyter MCP Server is an MCP server that 🪐 🔧 Model Context Protocol (MCP) Server for Jupyter. Its tool list has not been published yet over stdio, sse and http, requires no API key, and scores 87/100 on MCPpedia's security, maintenance and efficiency rubric.
Config is the same across clients — only the file and path differ.
{
"mcpServers": {
"jupyter": {
"env": {
"JUPYTER_URL": "http://localhost:8888",
"JUPYTER_TOKEN": "MY_TOKEN",
"ALLOW_IMG_OUTPUT": "true"
},
"args": [
"jupyter-mcp-server@latest"
],
"command": "uvx"
}
}
}Are you the author?
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An MCP server developed for AI to connect and manage Jupyter Notebooks in real-time
This server supports HTTP transport. Be the first to test it — help the community know if it works.
Five weighted categories — click any category to see the underlying evidence.
JupyterLab: Cross-site scripting (XSS) via crafted settings file (`overrides.json`)
JupyterLab 4.5+ allows notebook settings to be shared and applied through an `overrides.json` file using the `Import` button in the Settings Editor. Certain notebook display settings were not properly validated before being applied. As a result, a crafted settings file could contain hidden instructions that run as code inside JupyterLab when imported, instead of only changing a display preference. Because importing a settings file appears harmless, a user could import a file shared by another
JupyterLab: Image viewer allows XSS when opening malicious image in new browser tab
JupyterLab's image viewer allows for cross-site scripting (XSS) when a specially-crafted image file is opened through the image viewer and then opened in a new tab. This XSS issue can be used to cause remote code execution (RCE) on the JupyterLab server. ### Impact This vulnerability allows for arbitrary code execution. ### Patches JupyterLab [`v4.6.2`](https://github.com/jupyterlab/jupyterlab/releases/tag/v4.6.2) and [`v4.5.10`](https://github.com/jupyterlab/jupyterlab/releases/tag/v4.5.10)
JupyterLab: PyPI extension blocklist package-name canonicalization bypass
JupyterLab's PyPI extension manager enforces `blocked_extensions_uris` by comparing the requested install name to blocklist entries with a custom string normalization that is weaker than PyPI package-name canonicalization. An authenticated user can request a PyPI-equivalent spelling such as `JupyterLab.Git` for a blocklisted package such as `jupyterlab-git`; JupyterLab accepts the install request even though pip resolves the variant to the same package. This has security implications only for d
JupyterLab: Cross-site scripting (XSS) via crafted settings file (`overrides.json`)
JupyterLab 4.5+ allows notebook settings to be shared and applied through an `overrides.json` file using the `Import` button in the Settings Editor. Certain notebook display settings were not properly validated before being applied. As a result, a crafted settings file could contain hidden instructions that run as code inside JupyterLab when imported, instead of only changing a display preference. Because importing a settings file appears harmless, a user could import a file shared by another
JupyterLab: Image viewer allows XSS when opening malicious image in new browser tab
JupyterLab's image viewer allows for cross-site scripting (XSS) when a specially-crafted image file is opened through the image viewer and then opened in a new tab. This XSS issue can be used to cause remote code execution (RCE) on the JupyterLab server. ### Impact This vulnerability allows for arbitrary code execution. ### Patches JupyterLab [`v4.6.2`](https://github.com/jupyterlab/jupyterlab/releases/tag/v4.6.2) and [`v4.5.10`](https://github.com/jupyterlab/jupyterlab/releases/tag/v4.5.10)
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An MCP server developed for AI to connect and manage Jupyter Notebooks in real-time — and scale your Code Sandbox from local to the cloud (Datalayer, Kaggle, Google Colab, Modal, Daytona, E2B, CoreWeave, Cloudflare...)
📖 Documentation · 🔧 Tools · 💬 Community
No process to run. Datalayer now hosts this server for you at
https://mcp.datalayer.run/mcp — one endpoint for every agent and every notebook.
Sign in from your browser, approve what the agent may do, and your work keeps running
on the server after the agent disconnects.
One command to connect Claude Code, with /datalayer:notebook, /datalayer:run and
/datalayer:status on top:
/plugin marketplace add datalayer/jupyter-mcp-server
/plugin install datalayer
→ Datalayer plugin for Claude Code
Free and open source, BSD 3-Clause — point it at any Jupyter you already run, local or JupyterHub, no account needed.
Built and maintained by Datalayer, where the same server drives always-on Notebooks with GPU Code Sandboxes and durable execution — so your agent keeps working on your data when your laptop does not.
No token to copy and paste. An agent that meets this server unauthenticated is t