Update AWX project from SCM
AI agents invoke awx_project_update to trigger actions in Pypi:awx. 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.
Triggering an SCM update pulls new code from source control and applies it to the AWX project, which is an external operation with side effects. It executes a project sync/update job rather than simply modifying stored data, making Execute the appropriate category. Misuse could cause unintended playbook/role code to be pulled and potentially run in automation workflows.
From the tool's definition Update AWX project from SCM
Documented attack patterns abuse exactly the kind of access awx_project_update 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 awx_project_update:
{
"version": "1",
"default": "deny",
"tools": {
"awx_project_update": {
"limits": [
{
"counter": "awx_project_update_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
} awx_project_update 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.
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Update AWX project from SCM. It is categorised as a Execute tool in the Pypi:awx MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Pypi:awx MCP server in PolicyLayer and add a rule for awx_project_update: 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.
awx_project_update is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the awx_project_update 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 awx_project_update. 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.
awx_project_update 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.