python_compatibility

THE RISK

Low Risk

Why python_compatibility needs a policy

This tool performs static analysis of Python code to detect compatibility issues and recommend upgrades. The core actions are reading/checking code (vermin analysis) and suggesting improvements (pyupgrade recommendations). No code execution, file modification, deletion, or financial operations occur.

From the tool's definition Tool description states 'Check Python version compatibility using vermin and suggest syntax upgrades' - purely analytical actions that examine code and provide suggestions without modifying source files or executing arbitrary code.

Documented attack patterns abuse exactly the kind of access python_compatibility gives an agent:

POLICY

How to control python_compatibility

PolicyLayer is an MCP gateway — it sits between your AI agents and MCP DevTools Server, and nothing reaches the server without passing your rules. This is the rule we recommend for python_compatibility:

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "python_compatibility": {}
  }
}

python_compatibility is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.

Create a free account and register MCP DevTools Server — nothing to install.
Add this policy — paste it, or build it visually.
Point your MCP client (Claude, Cursor, anything) at your gateway URL.

CAP THIS TOOL →

Free to start. No card required.

EXPLORE

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Go deeper

The MCP Attack Database → Documented attack patterns against MCP deployments — and the policies that stop them.
Data exfiltration → How read access becomes an exfiltration channel when chained with untrusted content.
MCP token cost → What connecting this server costs in context-window tokens on every request.
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FAQ

Questions about python_compatibility

What does the python_compatibility tool do? +

Check Python version compatibility using vermin and suggest syntax upgrades with pyupgrade. It is categorised as a Read tool in the MCP DevTools Server MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on python_compatibility? +

Register the MCP DevTools Server MCP server in PolicyLayer and add a rule for python_compatibility: 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 DevTools Server. Nothing to install.

What risk level is python_compatibility? +

python_compatibility is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit python_compatibility? +

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

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

python_compatibility is provided by the MCP DevTools Server MCP server (rshade/mcp-devtools-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every MCP DevTools Server tool call.

Start from MCP DevTools Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.

CHECK YOUR STACK →