Low Risk

ai_inventory

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.

Accepts file system path (directory)

Part of the AI Scanner MCP server. Enforce policies on this tool with Intercept, the open-source MCP proxy.

ai-scanner-mcp Read Risk 2/5

AI agents call ai_inventory to retrieve information from AI Scanner without modifying any data. This is common in research, monitoring, and reporting workflows where the agent needs context before taking action. Because read operations don't change state, they are generally safe to allow without restrictions -- but you may still want rate limits to control API costs.

Even though ai_inventory only reads data, uncontrolled read access can leak sensitive information or rack up API costs. An agent caught in a retry loop could make thousands of calls per minute. A rate limit gives you a safety net without blocking legitimate use.

Read-only tools are safe to allow by default. No rate limit needed unless you want to control costs.

ai-scanner.yaml
tools:
  ai_inventory:
    rules:
      - action: allow

See the full AI Scanner policy for all 3 tools.

Tool Name ai_inventory
Category Read
Risk Level Low

Agents calling read-class tools like ai_inventory have been implicated in these attack patterns. Read the full case and prevention policy for each:

Browse the full MCP Attack Database →

Other tools in the Read risk category across the catalogue. The same policy patterns (rate-limit, allow) apply to each.

What does the ai_inventory tool do? +

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.

How do I enforce a policy on ai_inventory? +

Add a rule in your Intercept YAML policy under the tools section for ai_inventory. You can allow, deny, rate-limit, or validate arguments. Then run Intercept as a proxy in front of the AI Scanner MCP server.

What risk level is ai_inventory? +

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

Can I rate-limit ai_inventory? +

Yes. Add a rate_limit block to the ai_inventory rule in your Intercept 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 ai_inventory completely? +

Set action: deny in the Intercept 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.

What MCP server provides ai_inventory? +

ai_inventory is provided by the AI Scanner MCP server (ai-scanner-mcp). Intercept sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policies on AI Scanner

Open source. One binary. Zero dependencies.

npx -y @policylayer/intercept
github.com/policylayer/intercept →
// GET IN TOUCH

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