ai_invoice_pipeline_summary

THE RISK

Low Risk

Why ai_invoice_pipeline_summary needs a policy

This tool reads/aggregates existing invoice pipeline data to display summary counts. It has no side effects, does not create or modify records, and does not execute arbitrary operations. The blast radius of misuse is minimal—an agent could at worst retrieve summary statistics that are already accessible within the Odoo instance. This is a classic Read operation.

From the tool's definition Tool performs 'dashboard aggregation' and 'counts' — it retrieves and summarizes data about vendor bill moves without modifying, deleting, or executing external operations.

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

POLICY

How to control ai_invoice_pipeline_summary

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_invoice_pipeline_summary:

policy.json

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

ai_invoice_pipeline_summary 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.

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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_invoice_pipeline_summary

What does the ai_invoice_pipeline_summary tool do? +

Dashboard aggregation: counts of vendor bill moves by next_step. 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_invoice_pipeline_summary? +

Register the Odoo Claude MCP server in PolicyLayer and add a rule for ai_invoice_pipeline_summary: 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_invoice_pipeline_summary? +

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

Can I rate-limit ai_invoice_pipeline_summary? +

Yes. Add a rate_limit block to the ai_invoice_pipeline_summary 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_invoice_pipeline_summary completely? +

Set action: deny in the PolicyLayer policy for ai_invoice_pipeline_summary. 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_invoice_pipeline_summary? +

ai_invoice_pipeline_summary 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 →