ipynb_filter_cells

ipynb_filter_cells

Server Jupyter Editor jsamuel1/jupyter-editor-mcp
Category Read
Risk class Low
Parameters 00 required

What ipynb_filter_cells does on Jupyter Editor

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

Why ipynb_filter_cells needs a policy

The name 'filter_cells' implies querying or selecting cells without modifying them. The tool is part of a notebook editing MCP server that offers both read operations (get_cell, extract_cells, get_metadata) and write operations (append_cell, insert_cell, delete_cell). 'Filter' typically denotes a non-destructive selection operation.

From the tool's definition Tool name 'ipynb_filter_cells' suggests selecting or querying cells from a notebook based on criteria. No description provided, but naming convention and context among sibling tools (ipynb_get_cell, ipynb_extract_cells) indicate a retrieval operation.

Questions about ipynb_filter_cells

What does the ipynb_filter_cells tool do? +

ipynb_filter_cells. It is categorised as a Read tool in the Jupyter Editor MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on ipynb_filter_cells? +

Register the Jupyter Editor MCP server in PolicyLayer and add a rule for ipynb_filter_cells: 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 Jupyter Editor. Nothing to install.

What risk level is ipynb_filter_cells? +

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

Can I rate-limit ipynb_filter_cells? +

Yes. Add a rate_limit block to the ipynb_filter_cells 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 ipynb_filter_cells completely? +

Set action: deny in the PolicyLayer policy for ipynb_filter_cells. 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 ipynb_filter_cells? +

ipynb_filter_cells is provided by the Jupyter Editor MCP server (jsamuel1/jupyter-editor-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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