app
App lifecycle: launch, stop, install, list
This record as markdown: /tools/alexgladkov-claude-in-mobile/app.md
What app does on Claude Mobile
AI agents invoke app to trigger actions in Claude Mobile. 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.
Why app is rated High
This tool manages application lifecycle including launching and stopping apps (Execute-level operations that trigger external processes) and installing apps (potentially installing arbitrary software on a device). The 'list' operation is read-only but the dominant risk is from launch/stop/install actions.
From the tool's definition App lifecycle: launch, stop, install, list — covers launching, stopping, and installing apps on mobile devices
Attacks that exploit this kind of access
The rule that runs app safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Claude Mobile, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For app, this is the rule to start with:
app 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.
The button opens the PolicyLayer dashboard: create your workspace, connect Claude Mobile, apply this rule, and every app call is checked against it from then on.
Questions about app
App lifecycle: launch, stop, install, list. It is categorised as a Execute tool in the Claude Mobile MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Claude Mobile MCP server in PolicyLayer and add a rule for 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 Claude Mobile. Nothing to install.
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 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 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.
app is provided by the Claude Mobile MCP server (alexgladkov/claude-in-mobile). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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