ai_tokenize_record

THE RISK

Low Risk

Why ai_tokenize_record needs a policy

The tool appears to read a record and process it (build composite document, embed) for AI/ML purposes. This is a read-and-transform operation with no apparent side effects. Confidence is reduced because the description is truncated and it's unclear if embeddings are persisted (which would make it Write).

From the tool's definition Tokenize a single Odoo record: build composite document, embed via

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

POLICY

How to control ai_tokenize_record

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

policy.json

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

ai_tokenize_record 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 Odoo Claude MCP — 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

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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 ai_tokenize_record

What does the ai_tokenize_record tool do? +

Tokenize a single Odoo record: build composite document, embed via. It is categorised as a Read tool in the Odoo Claude MCP MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on ai_tokenize_record? +

Register the Odoo Claude MCP server in PolicyLayer and add a rule for ai_tokenize_record: 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 Odoo Claude MCP. Nothing to install.

What risk level is ai_tokenize_record? +

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

Can I rate-limit ai_tokenize_record? +

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

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

ai_tokenize_record is provided by the Odoo Claude MCP server (rosenvladimirov/odoo-claude-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Odoo Claude MCP tool call.

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

CHECK YOUR STACK →