jupyter_execute_code

// WHEN AI AGENTS USE THIS TOOL

AI agents invoke jupyter_execute_code to trigger processes or run actions in Jupyter. Execute operations can have side effects beyond the immediate call -- triggering builds, sending notifications, or starting workflows. Rate limits and argument validation are essential to prevent runaway execution.

// WHY ENFORCE A POLICY ON JUPYTER_EXECUTE_CODE

jupyter_execute_code can trigger processes with real-world consequences. An uncontrolled agent might start dozens of builds, send mass notifications, or kick off expensive compute jobs. Intercept enforces rate limits and validates arguments to keep execution within safe bounds.

// RECOMMENDED POLICY

Execute tools trigger processes. Rate-limit and validate arguments to prevent unintended side effects.

jupyter.yaml

tools:
  jupyter_execute_code:
    rules:
      - action: allow
        rate_limit:
          max: 10
          window: 60
        validate:
          required_args: true

See the full Jupyter policy for all 7 tools.

// DETAILS

Tool Name jupyter_execute_code

Category Execute

MCP Server Jupyter MCP Server

Risk Level High

// MORE JUPYTER TOOLS

Write jupyter_add_cell Write jupyter_create_notebook Write jupyter_open_notebook Write jupyter_update_cell Read jupyter_get_notebook Read jupyter_list_kernels

// WHAT CAN GO WRONG

Agents calling execute-class tools like jupyter_execute_code have been implicated in these attack patterns. Read the full case and prevention policy for each:

Browse the full MCP Attack Database →

// OTHER EXECUTE TOOLS ACROSS MCP SERVERS

Other tools in the Execute risk category across the catalogue. The same policy patterns (rate-limit, validate) apply to each.

Agent Passport System — Cryptographic Identity for AI Agents commerce_preflight Agent Passport System — Cryptographic Identity for AI Agents execute_with_context Agent Passport System — Cryptographic Identity for AI Agents gateway_execute_approval Agent Passport System — Cryptographic Identity for AI Agents governance_360 Agent Passport System — Cryptographic Identity for AI Agents parse_governance_block_html AgentClear — API Marketplace for AI Agents call_service

// IN CONTEXT OF HIGH RISK

jupyter_execute_code is one of the high-risk operations in Jupyter. For the full severity-focused view — only the high-risk tools with their recommended policies — see the breakdown for this server, or browse all high-risk tools across every MCP server.

// RELATED READING

// FAQ

What does the jupyter_execute_code tool do? +

Execute code in a real Jupyter kernel.. It is categorised as a Execute tool in the Jupyter MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on jupyter_execute_code? +

Add a rule in your Intercept YAML policy under the tools section for jupyter_execute_code. You can allow, deny, rate-limit, or validate arguments. Then run Intercept as a proxy in front of the Jupyter MCP server.

What risk level is jupyter_execute_code? +

jupyter_execute_code is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.

Can I rate-limit jupyter_execute_code? +

Yes. Add a rate_limit block to the jupyter_execute_code rule in your Intercept 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 jupyter_execute_code completely? +

Set action: deny in the Intercept policy for jupyter_execute_code. 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 jupyter_execute_code? +

jupyter_execute_code is provided by the Jupyter MCP server (@fre4x/jupyter). Intercept sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policies on Jupyter