install_package · MCP Python Interpreter MCP: Risk & Policy

WHAT IT DOES

What install_package does on MCP Python Interpreter

AI agents invoke install_package to trigger actions in MCP Python Interpreter. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call — builds kicked off, notifications sent, workflows started.

WHY IT NEEDS A POLICY

Why install_package needs a policy

Installing a package modifies the Python environment by fetching and executing external code, which is an Execute-level action. It cannot be trivially reversed (uninstalling may leave side effects), has a high blast radius since malicious or unintended packages could compromise the environment, and the description is empty so confidence is slightly reduced.

From the tool's definition Tool name 'install_package' on a server described as enabling LLMs to 'manage files, and handle packages through the Model Context Protocol'; sibling tools include 'run_python_code' and 'run_python_file' confirming package management context.

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

install_package Rate-limited

install_package stays usable, but rate-capped — a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "install_package": {
      "limits": [
        {
          "counter": "install_package_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

RATE-LIMIT THIS TOOL →

Instant setup, no code required.

PolicyLayer is an MCP gateway: every tool call is checked against your rule before it reaches MCP Python Interpreter, so you can run agents against it safely.

FAQ

Questions about install_package

What does the install_package tool do? +

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

How do I enforce a policy on install_package? +

Register the MCP Python Interpreter MCP server in PolicyLayer and add a rule for install_package: 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 MCP Python Interpreter. Nothing to install.

What risk level is install_package? +

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

Can I rate-limit install_package? +

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

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

install_package is provided by the MCP Python Interpreter MCP server (luutuankiet/mcp-python-interpreter). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.