get_package_compatible_python_versions

THE RISK

Low Risk

Why get_package_compatible_python_versions needs a policy

This tool retrieves metadata about Python version compatibility for a package without modifying any data or triggering external operations. It fits the Read category (query/fetch operation). Despite the empty description, the naming pattern and server context provide high confidence that this is a read-only operation with minimal risk.

From the tool's definition Tool name 'get_package_compatible_python_versions' indicates a query operation; server purpose is 'querying PyPI package information'; sibling tools include multiple read-only queries (get_package_info, get_package_versions, get_download_statistics,…

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

POLICY

How to control get_package_compatible_python_versions

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

policy.json

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

get_package_compatible_python_versions 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 PyPI Query MCP Server — nothing to install.
Add this policy — paste it, or build it visually.
Point your MCP client (Claude, Cursor, anything) at your gateway URL.

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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.
Rate Limiting MCP Tool Calls: A Practical Guide →
MCP Security: Why Prompt Guardrails Aren't Enough →

FAQ

Questions about get_package_compatible_python_versions

What does the get_package_compatible_python_versions tool do? +

get_package_compatible_python_versions. It is categorised as a Read tool in the PyPI Query MCP Server MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on get_package_compatible_python_versions? +

Register the PyPI Query MCP Server MCP server in PolicyLayer and add a rule for get_package_compatible_python_versions: 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 PyPI Query MCP Server. Nothing to install.

What risk level is get_package_compatible_python_versions? +

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

Can I rate-limit get_package_compatible_python_versions? +

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

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

get_package_compatible_python_versions is provided by the PyPI Query MCP Server MCP server (loonghao/pypi-query-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every PyPI Query MCP Server tool call.

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

CHECK YOUR STACK →