get_in_app_purchases

THE RISK

Low Risk

Why get_in_app_purchases needs a policy

This tool retrieves configuration data about payment settings (Stripe, Braintree, RevenueCat, Razorpay) in a FlutterFlow project. It does not create, modify, delete, or execute transactions. However, it accesses sensitive financial configuration data, which elevates severity from low to medium—an AI agent could potentially discover API keys, merchant IDs, or subscription pricing that could be misused if exposed.

From the tool's definition Tool name 'get_in_app_purchases' and description 'Get In-App Purchases & Subscriptions settings' indicate data retrieval only.

Documented attack patterns abuse exactly the kind of access get_in_app_purchases gives an agent:

POLICY

How to control get_in_app_purchases

PolicyLayer is an MCP gateway — it sits between your AI agents and Community Ff, and nothing reaches the server without passing your rules. This is the rule we recommend for get_in_app_purchases:

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "get_in_app_purchases": {}
  }
}

get_in_app_purchases is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.

Create a free account and register Community Ff — nothing to install.
Add this policy — paste it, or build it visually.
Point your MCP client (Claude, Cursor, anything) at your gateway URL.

CAP THIS TOOL →

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EXPLORE

Related tools and policies

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Go deeper

The MCP Attack Database → Documented attack patterns against MCP deployments — and the policies that stop them.
Data exfiltration → How read access becomes an exfiltration channel when chained with untrusted content.
MCP token cost → What connecting this server costs in context-window tokens on every request.
Rate Limiting MCP Tool Calls: A Practical Guide →
MCP Security: Why Prompt Guardrails Aren't Enough →

FAQ

Questions about get_in_app_purchases

What does the get_in_app_purchases tool do? +

Get In-App Purchases & Subscriptions settings — Stripe, Braintree, RevenueCat, Razorpay. Mirrors the FlutterFlow. It is categorised as a Read tool in the Community Ff MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on get_in_app_purchases? +

Register the Community Ff MCP server in PolicyLayer and add a rule for get_in_app_purchases: 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 Community Ff. Nothing to install.

What risk level is get_in_app_purchases? +

get_in_app_purchases is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit get_in_app_purchases? +

Yes. Add a rate_limit block to the get_in_app_purchases 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 get_in_app_purchases completely? +

Set action: deny in the PolicyLayer policy for get_in_app_purchases. 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 get_in_app_purchases? +

get_in_app_purchases is provided by the Community Ff MCP server (mohn93/ff-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Community Ff tool call.

Start from Community Ff, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.

CHECK YOUR STACK →