Get the text output content of a specific code cell by its index Args: index: The index of the cell to get output from max_length: Maximum length of text output to return (default: 1500 characters)
AI agents call get_cell_text_output 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.
This tool purely reads and retrieves previously computed text output from a notebook cell. It has no side effects, does not execute code, modify data, or trigger external operations. The sibling tools include execute-oriented ones (run_cell, insert_and_execute_cell, run_all_cells) and write-oriented ones (edit_cell_content, save_notebook), but this tool is strictly retrieval-based.
From the tool's definition Tool name and description: 'Get the text output content of a specific code cell by its index' — retrieves output data without modification or execution.
Documented attack patterns abuse exactly the kind of access get_cell_text_output gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and JupyterMCP, and nothing reaches the server without passing your rules. This is the rule we recommend for get_cell_text_output:
{
"version": "1",
"default": "deny",
"tools": {
"get_cell_text_output": {}
}
} get_cell_text_output is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Get the text output content of a specific code cell by its index Args: index: The index of the cell to get output from max_length: Maximum length of text output to return (default: 1500 characters). It is categorised as a Read tool in the JupyterMCP MCP Server, which means it retrieves data without modifying state.
Register the Jupyter MCP server in PolicyLayer and add a rule for get_cell_text_output: 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.
get_cell_text_output is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the get_cell_text_output 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.
Set action: deny in the PolicyLayer policy for get_cell_text_output. 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.
get_cell_text_output is provided by the Jupyter MCP server (jjsantos01/jupyter-notebook-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from JupyterMCP, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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11 JupyterMCP tools catalogued and risk-classified — across an index of 43,000+ MCP servers.