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awx_project_update

Update AWX project from SCM

How to control awx_project_update ↓

What awx_project_update does on Pypi:awx

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.

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Why awx_project_update needs a policy

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:

How to control awx_project_update

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:

policy.json
{
  "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.

  1. Create a free account and register Pypi:awx — nothing to install.
  2. Add this policy — paste it, or build it visually.
  3. Point your MCP client (Claude, Cursor, anything) at your gateway URL.
RATE-LIMIT THIS TOOL →

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Related tools and policies

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Questions about awx_project_update

What does the awx_project_update tool do? +

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.

How do I enforce a policy on awx_project_update? +

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.

What risk level is awx_project_update? +

awx_project_update is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.

Can I rate-limit awx_project_update? +

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.

How do I block awx_project_update completely? +

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.

What MCP server provides awx_project_update? +

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.

Enforce policy on every Pypi:awx tool call.

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.

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