AI agents invoke redeploy_project to trigger actions in Coolify. 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.
Redeploying all applications in a project triggers external deployment operations across multiple services simultaneously. This is an Execute-category action with high severity because misuse could cause widespread service disruption, downtime, or unintended rollouts across an entire project's application fleet.
From the tool's definition Redeploy all apps in project
Attacks that exploit this kind of access
Redeploy all apps in project. It is categorised as a Execute tool in the Coolify MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Coolify MCP server in PolicyLayer and add a rule for redeploy_project: 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 Coolify. Nothing to install.
redeploy_project 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 redeploy_project 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 redeploy_project. 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.
redeploy_project is provided by the Coolify MCP server (jurislm/coolify-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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