// SCAN REPORT

JupyterMCP

11 tools. 6 can modify or destroy data without limits.

6 write tools that can modify data. Rate limits recommended.

Last updated: 11 Jun 2026

6 can modify or destroy data

5 read-only

11 tools total

Community server · catalogue entry verified 11/06/2026

How to control JupyterMCP ↓

TOOL MAP

What JupyterMCP exposes to your agents

Read (5) Write / Execute (6) Destructive / Financial (0)

Running more than one server? Check your whole stack →

MOST DANGEROUS TOOLS

High Risk

The most dangerous JupyterMCP tools

Execute · High run_all_cells This tool executes notebook cells containing arbitrary code, which can trigger external operations, modify system state, or produce side effects depending on what code is in the notebook. Execute · High run_cell This tool executes arbitrary code within a Jupyter notebook environment. Execute · High edit_cell_content This tool modifies cell content (Write) and can optionally execute the resulting code (Execute). Execute · Critical insert_and_execute_cell This tool inserts arbitrary code into a Jupyter notebook and immediately executes it.

6 of JupyterMCP's 11 tools can modify, destroy, or commit something on every call — and an agent calls them with no built-in limits.

POLICY

How to control JupyterMCP

PolicyLayer is an MCP gateway — it sits between your AI agents and JupyterMCP, and nothing reaches the server without passing your rules. These are the rules we recommend:

Rate limit write operations

{
  "save_notebook": {
    "limits": [
      {
        "counter": "save_notebook_per_hour",
        "window": "hour",
        "max": 30,
        "scope": "grant"
      }
    ]
  }
}

Prevents bulk unintended modifications from agents caught in loops.

Cap read operations

{
  "get_cell_text_output": {
    "limits": [
      {
        "counter": "get_cell_text_output_per_minute",
        "window": "minute",
        "max": 60,
        "scope": "grant"
      }
    ]
  }
}

Controls API costs and prevents retry loops from exhausting upstream rate limits.

Create a free account and register JupyterMCP — nothing to install.
Add these rules — paste them, or build them visually. Tune the limits to your setup.
Point your MCP client (Claude, Cursor, anything) at your gateway URL.

ENFORCE POLICY ON JUPYTERMCP →

Free to start. No card required.

FULL CATALOGUE

All 11 JupyterMCP tools

EXECUTE 4 tools

Execute run_all_cells Restart and run all cells in the notebook. You need to wait for user approval Execute run_cell Run a specific cell by its index Args: index: The index of the cell to run Execute edit_cell_content Edit the content of a specific cell by its index and optionally execute it Args: index: The i Execute insert_and_execute_cell Insert a cell at the specified position and execute it, and optionally set slideshow type. If code cell, i

WRITE 2 tools

Write save_notebook Save the current Jupyter notebook Write set_slideshow_type set_slideshow_type

READ 5 tools

Read get_cell_text_output Get the text output content of a specific code cell by its index Args: index: The index of th Read get_cells_info Get information about all cells in the notebook Read get_image_output Get image outputs from a specific cell by its index Args: index: The index of the cell to get Read get_notebook_info Get information about the current Jupyter notebook Read ping Simple ping command to check server connectivity

EXPLORE

Related servers

Other MCP servers with similar tools — same risk classification, starter policies for each.

FAQ

Questions about JupyterMCP

How do I prevent bulk modifications through JupyterMCP? +

The JupyterMCP server has 2 write tools including save_notebook, set_slideshow_type. Set a rate limit in your policy -- for example, 10 calls per hour prevents an agent from making more than 10 modifications per hour. PolicyLayer enforces this at the gateway, before calls reach JupyterMCP.

How many tools does the Jupyter MCP server expose? +

11 tools across 3 categories: Execute, Read, Write. 5 are read-only. 6 can modify, create, or delete data.

How do I enforce a policy on JupyterMCP? +

Register the Jupyter MCP server in PolicyLayer, apply the suggested rules above (adjust the limits to your use case), and point your AI client at the PolicyLayer proxy URL instead of the server directly. Your agents keep the same tools; PolicyLayer evaluates every call against policy before it executes. Nothing to install, live in minutes.

Enforce policy on every JupyterMCP tool call.

Deterministic rules across all 11 JupyterMCP tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

ENFORCE POLICY ON JUPYTERMCP →

Free to start. No card required.

11 JupyterMCP tools catalogued and risk-classified — across an index of 43,000+ MCP servers.