This record as markdown: /tools/frontmcp/authorize-app.md
What authorize-app does on Frontmcp
AI agents use authorize-app to create or update resources in Frontmcp, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Frontmcp environment.
Why authorize-app is rated Medium
This tool grants authorization/access rights to an application for a vault entry, which is a write operation that modifies access control or permissions. Misuse could allow unauthorized applications to gain access to sensitive vault credentials or secrets, making the blast radius high. It is reversible (authorization can be revoked), so it falls under Write rather than Destructive.
From the tool's definition "Authorize an application for a vault entry"
Attacks that exploit this kind of access
The rule that runs authorize-app safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Frontmcp, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For authorize-app, this is the rule to start with:
authorize-app stays usable, but capped: an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Frontmcp, apply this rule, and every authorize-app call is checked against it from then on.
Questions about authorize-app
Authorize an application for a vault entry. It is categorised as a Write tool in the Frontmcp MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Front MCP server in PolicyLayer and add a rule for authorize-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 Frontmcp. Nothing to install.
authorize-app is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the authorize-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 authorize-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.
authorize-app is provided by the Front MCP server (agentfront/frontmcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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