Get an inventory of all AI/LLM technologies used in a codebase — which SDKs are imported, which frameworks are integrated, which models are referenced, and which provider APIs are called. No secret detection, just awareness.
AI agents call ai_inventory to retrieve information from Ai Scanner without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves and catalogs information about a codebase's AI/LLM usage without modifying, executing, or deleting any code or data. It is a passive inventory/discovery mechanism analogous to static code analysis or dependency listing, which poses minimal risk when misused by an AI agent.
From the tool's definition Tool description states it performs awareness of AI/LLM technologies through scanning imports, frameworks, models, and API calls.
Attacks that exploit this kind of access
Get an inventory of all AI/LLM technologies used in a codebase — which SDKs are imported, which frameworks are integrated, which models are referenced, and which provider APIs are called. No secret detection, just awareness. It is categorised as a Read tool in the Ai Scanner MCP Server, which means it retrieves data without modifying state.
Register the Ai Scanner MCP server in PolicyLayer and add a rule for ai_inventory: 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 Ai Scanner. Nothing to install.
ai_inventory 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 ai_inventory 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 ai_inventory. 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.
ai_inventory is provided by the Ai Scanner MCP server (sky-in-code/ai-scanner-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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