Repair a broken application. Attempts automatic repair of apps in error state. Use when an app is unhealthy or has installation issues. Returns task ID for async operation tracking via cloudron_task_status.
AI agents invoke cloudron_repair_app to trigger actions in Mcp Cloudron. 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.
This tool triggers an active remediation operation on a running application — it executes repair logic that modifies the app's state, potentially reinstalling components, restarting services, or reconfiguring the environment. It is not a simple read, nor is it a clean write/create; it executes an async operational task (returns a task ID) that can have broad side effects on the app's running state.
From the tool's definition Repair a broken application. Attempts automatic repair of apps in error state. Use when an app is unhealthy or has installation issues.
Attacks that exploit this kind of access
Repair a broken application. Attempts automatic repair of apps in error state. Use when an app is unhealthy or has installation issues. Returns task ID for async operation tracking via cloudron_task_status. It is categorised as a Execute tool in the Mcp Cloudron MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Mcp Cloudron MCP server in PolicyLayer and add a rule for cloudron_repair_app: 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 Mcp Cloudron. Nothing to install.
cloudron_repair_app 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 cloudron_repair_app 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 cloudron_repair_app. 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.
cloudron_repair_app is provided by the Mcp Cloudron MCP server (serenichron/mcp-cloudron). 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.
Teams ship this data inside their own products. See what a licence covers →