ai_invoice_pipeline_run

THE RISK

High Risk

Why ai_invoice_pipeline_run needs a policy

This tool executes an automated pipeline against invoice data and attachments. While it does not directly move money (thus not Financial), it triggers potentially multi-step operations on financial documents (invoices) that could modify state, trigger downstream processes, or integrate with payment systems.

From the tool's definition Tool name contains 'run' and description explicitly states 'Execute the full registered step pipeline' — indicates execution of a predefined workflow with side effects on financial documents (invoices).

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

POLICY

How to control ai_invoice_pipeline_run

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_run:

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "ai_invoice_pipeline_run": {
      "limits": [
        {
          "counter": "ai_invoice_pipeline_run_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

ai_invoice_pipeline_run stays usable, but rate-capped — a runaway agent can't fire it dozens of times a minute. 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.

RATE-LIMIT THIS TOOL →

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EXPLORE

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Go deeper

High-risk tools in Odoo Claude MCP → Every high-risk tool this server exposes, in one view.
All high-risk MCP tools → Every high-risk tool across the catalogue, and the policy pattern that contains them.
The MCP Attack Database → Documented attack patterns against MCP deployments — and the policies that stop them.
Agent sandbox → Bounding what an agent can execute and where the boundary should sit.
Least privilege for MCP → Granting agents the minimum tool surface the task needs.
Rate Limiting MCP Tool Calls: A Practical Guide →
MCP Security: Why Prompt Guardrails Aren't Enough →

FAQ

Questions about ai_invoice_pipeline_run

What does the ai_invoice_pipeline_run tool do? +

Execute the full registered step pipeline for one move+attachment. It is categorised as a Execute tool in the Odoo Claude MCP MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on ai_invoice_pipeline_run? +

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

ai_invoice_pipeline_run is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.

Can I rate-limit ai_invoice_pipeline_run? +

Yes. Add a rate_limit block to the ai_invoice_pipeline_run 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_run completely? +

Set action: deny in the PolicyLayer policy for ai_invoice_pipeline_run. 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_run? +

ai_invoice_pipeline_run 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.

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