// SCAN REPORT

MCP Python Interpreter

10 tools. 5 can modify or destroy data without limits.

1 destructive tool with no built-in limits. Policy required.

Last updated: 11 Jun 2026

5 can modify or destroy data

5 read-only

10 tools total

Community server · catalogue entry verified 11/06/2026

How to control MCP Python Interpreter ↓

TOOL MAP

Read (5) Write / Execute (4) Destructive / Financial (1)

MOST DANGEROUS TOOLS

Critical Risk

Destructive · Medium clear_session Clearing a session's state and history is an irreversible operation — all variables, imports, and execution history within that session are permanently lost. Execute · Critical run_python_code This tool executes arbitrary Python code in the interpreter. Execute · Critical run_python_file This tool runs arbitrary Python code via subprocess, which can execute any external commands, modify system state, exfiltrate data, or cause harm depending on script contents and arguments. Execute · High install_package Installing a package executes an external process (e.g., pip install) that downloads and runs arbitrary third-party code, modifying the environment's installed packages.

5 of MCP Python Interpreter's 10 tools can modify, destroy, or commit something on every call — and an agent calls them with no built-in limits.

HOW TO CONTROL MCP PYTHON INTERPRETER

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

Deny destructive operations

{
  "clear_session": {
    "deny_if": [
      {
        "conditions": [],
        "on_deny": "Blocked by default. Requires approval."
      }
    ]
  }
}

Destructive tools should never be available to autonomous agents without human approval.

Rate limit write operations

{
  "write_file": {
    "limits": [
      {
        "counter": "write_file_per_hour",
        "window": "hour",
        "max": 30,
        "scope": "grant"
      }
    ]
  }
}

Prevents bulk unintended modifications from agents caught in loops.

Cap read operations

{
  "list_directory": {
    "limits": [
      {
        "counter": "list_directory_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 MCP Python Interpreter — 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 MCP PYTHON INTERPRETER →

Free to start. No card required.

ALL 10 MCP PYTHON INTERPRETER TOOLS

DESTRUCTIVE 1 tools

Destructive clear_session Clear a REPL session's state and history. Args: session_id: Session ID to clear

EXECUTE 3 tools

Execute run_python_code run_python_code Execute run_python_file Execute a Python file (always uses subprocess for file execution). Args: file_path: Path to t Execute install_package Install a Python package in the specified environment. Args: package_name: Name of the packag

WRITE 1 tools

Write write_file Write content to a file. Args: file_path: Path to the file to write content: Content

READ 5 tools

Read list_directory List all Python files in a directory. Args: directory_path: Path to directory (empty for work Read list_installed_packages List installed packages for a specific Python environment. Args: environment: Name of the Pyt Read list_python_environments List all available Python environments (system Python and conda environments). Read list_sessions List all active REPL sessions. Read read_file Read the content of any file, with size limits for safety. Args: file_path: Path to the file

RELATED SERVERS

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

FAQ

Can an AI agent delete data through the MCP Python Interpreter MCP server? +

Yes. The MCP Python Interpreter server exposes 1 destructive tools including clear_session. These permanently remove resources with no undo. PolicyLayer blocks destructive tools by default so they never reach the upstream server.

How do I prevent bulk modifications through MCP Python Interpreter? +

The MCP Python Interpreter server has 1 write tools including write_file. 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 MCP Python Interpreter.

How many tools does the MCP Python Interpreter MCP server expose? +

10 tools across 4 categories: Destructive, Execute, Read, Write. 5 are read-only. 5 can modify, create, or delete data.

How do I enforce a policy on MCP Python Interpreter? +

Register the MCP Python Interpreter 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 MCP Python Interpreter tool call.

Deterministic rules across all 10 MCP Python Interpreter tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

ENFORCE POLICY ON MCP PYTHON INTERPRETER →

Free to start. No card required.

10 MCP Python Interpreter tools catalogued and risk-classified — across an index of 42,500+ MCP servers.

MCP Python Interpreter

// TOOL MAP

// MOST DANGEROUS TOOLS

// HOW TO CONTROL MCP PYTHON INTERPRETER

// ALL 10 MCP PYTHON INTERPRETER TOOLS

// RELATED SERVERS

// FAQ