proxy_call

THE RISK

High Risk

Why proxy_call needs a policy

A proxy/forwarding tool that dispatches calls to internal sub-services has an unbounded blast radius. It can effectively execute any operation available on those sub-services, including destructive or financial ones, depending on what arguments are passed.

From the tool's definition "Forward a tool call to an internal MCP sub-service" — acts as a proxy/dispatcher that can invoke arbitrary internal tools

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

POLICY

How to control proxy_call

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 proxy_call:

policy.json

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

proxy_call 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 →

Free to start. No card required.

EXPLORE

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All 180 Odoo Claude MCP tools →

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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 proxy_call

What does the proxy_call tool do? +

Forward a tool call to an internal MCP sub-service. 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 proxy_call? +

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

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

Can I rate-limit proxy_call? +

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

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

proxy_call 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 →