scaffold_app

A read tool on the Adia Ai MCP server.

SERVERAdia Ai SOURCE@adia-ai/mcp

Low RISK CLASS

Category Read

Parameters 00 required

Recommended Allowedsee the rule below

Registry record Grade C, identity unverified Pull the record →

This record as markdown: /tools/adia-ai-mcp/scaffold-app.md

WHAT IT DOES

What scaffold_app does on Adia Ai

AI agents call scaffold_app to retrieve information from Adia Ai without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

RISK

Why scaffold_app is rated Low

Even though scaffold_app only reads data, uncontrolled read access leaks sensitive information and racks up API costs: an agent caught in a retry loop can make thousands of calls a minute without anyone noticing.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs scaffold_app safely

PolicyLayer is an MCP gateway: it sits between your AI agents and Adia Ai, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For scaffold_app, this is the rule to start with:

scaffold_app Allowed

scaffold_app is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

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

ALLOW ONLY THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect Adia Ai, apply this rule, and every scaffold_app call is checked against it from then on.

FAQ

Questions about scaffold_app

What does the scaffold_app tool do? +

scaffold_app is a read tool on the Adia Ai MCP server. It is categorised as a Read tool in the Adia Ai MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on scaffold_app? +

Register the Adia Ai MCP server in PolicyLayer and add a rule for scaffold_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 Adia Ai. Nothing to install.

What risk level is scaffold_app? +

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

Can I rate-limit scaffold_app? +

Yes. Add a rate_limit block to the scaffold_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.

How do I block scaffold_app completely? +

Set action: deny in the PolicyLayer policy for scaffold_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.

What MCP server provides scaffold_app? +

scaffold_app is provided by the Adia Ai MCP server (@adia-ai/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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