notebook_get

Read a notebook and return its full structure: all cells with their IDs,

Server JupyterMCP try3d/jupytermcp
Category Read
Risk class Low
Parameters 00 required

What notebook_get does on JupyterMCP

AI agents call notebook_get to retrieve information from JupyterMCP without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Why notebook_get needs a policy

This tool retrieves and queries notebook structure (cells, IDs) without creating, modifying, deleting, or executing anything. It has no side effects on the notebook or kernel state. This is a pure read operation with minimal blast radius if misused by an agent—it can only expose notebook contents.

From the tool's definition Tool name 'notebook_get' and description 'Read a notebook and return its full structure' clearly indicate data retrieval with no modification. The verb 'Read' is explicitly stated.

Questions about notebook_get

What does the notebook_get tool do? +

Read a notebook and return its full structure: all cells with their IDs,. It is categorised as a Read tool in the JupyterMCP MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on notebook_get? +

Register the Jupyter MCP server in PolicyLayer and add a rule for notebook_get: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches JupyterMCP. Nothing to install.

What risk level is notebook_get? +

notebook_get is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit notebook_get? +

Yes. Add a rate_limit block to the notebook_get rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.

How do I block notebook_get completely? +

Set action: deny in the PolicyLayer policy for notebook_get. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.

What MCP server provides notebook_get? +

notebook_get is provided by the Jupyter MCP server (try3d/jupytermcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

// LOOK UP ANOTHER SERVER

Every MCP server has a record like this.

Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.

Teams ship this data inside their own products. See what a licence covers →

// GET IN TOUCH

Have a question or want to learn more? Send us a message.

Message sent.

We'll get back to you soon.