Get App Settings — Authentication, Push Notifications, Mobile Deployment (version, build, stores), Web Deployment (SEO, title). Mirrors the FlutterFlow
AI agents call get_app_settings to retrieve information from Community Ff without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool only reads and retrieves configuration metadata from a FlutterFlow project. It has no side effects, does not modify data, execute code, delete resources, or commit financial transactions. The blast radius of misuse is minimal—an attacker could learn app configuration details but cannot alter system behavior or data. Classified as Read with low severity.
From the tool's definition Tool name is 'get_app_settings' with description stating it retrieves ('Get') app configuration data: Authentication settings, Push Notifications, Mobile Deployment info, Web Deployment settings, and SEO metadata.
Documented attack patterns abuse exactly the kind of access get_app_settings gives an agent:
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_app_settings:
{
"version": "1",
"default": "deny",
"tools": {
"get_app_settings": {}
}
} get_app_settings is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Get App Settings — Authentication, Push Notifications, Mobile Deployment (version, build, stores), Web Deployment (SEO, title). Mirrors the FlutterFlow. It is categorised as a Read tool in the Community Ff MCP Server, which means it retrieves data without modifying state.
Register the Community Ff MCP server in PolicyLayer and add a rule for get_app_settings: 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.
get_app_settings is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the get_app_settings 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 get_app_settings. 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.
get_app_settings 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.
Start from Community Ff, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
Free to start. No card required.
25 Community Ff tools catalogued and risk-classified — across an index of 43,000+ MCP servers.