Get the currently active AWX environment
AI agents call env_get_active to retrieve information from Pypi:awx without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool queries and returns information about the currently active AWX environment without modifying, deleting, or executing any actions. It is a straightforward read operation with minimal security risk. Low severity reflects that environment metadata exposure is generally low-risk unless the environment name/config itself is sensitive, which is not indicated here.
From the tool's definition Tool name 'env_get_active' and description 'Get the currently active AWX environment' indicate a retrieval operation with no side effects.
Documented attack patterns abuse exactly the kind of access env_get_active gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Pypi:awx, and nothing reaches the server without passing your rules. This is the rule we recommend for env_get_active:
{
"version": "1",
"default": "deny",
"tools": {
"env_get_active": {}
}
}env_get_active is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Get the currently active AWX environment. It is categorised as a Read tool in the Pypi:awx MCP Server, which means it retrieves data without modifying state.
Register the Pypi:awx MCP server in PolicyLayer and add a rule for env_get_active: 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:awx. Nothing to install.
env_get_active is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the env_get_active 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.
Set action: deny in the PolicyLayer policy for env_get_active. 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.
env_get_active is provided by the Pypi:awx MCP server (SurgeX-Labs/awx-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Pypi:awx, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
Free to start. No card required.
50 Pypi:awx tools catalogued and risk-classified — across an index of 43,000+ MCP servers.