open_model

THE RISK

High Risk

Why open_model needs a policy

Opening/waking a model triggers an external operation on Anaplan's platform — it activates a model instance, which is a state change that initiates server-side processing. This is not a simple read (it changes the model's state from sleeping to active), not a write of data, and not destructive. It best fits Execute as it triggers an external operation whose effects depend on the model being targeted.

From the tool's definition Open (wake up) a model. May return 202 if model is loading.

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

POLICY

How to control open_model

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

policy.json

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

open_model 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 Anaplan 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

Related tools and policies

More Anaplan MCP tools

Destructive bulk_delete_models Bulk delete closed models (WARNING: irreversible). Models must be closed first. Destructive delete_file Delete a file from a model (WARNING: irreversible). Use show_files to find the fileId. Destructive delete_list_items Remove items from a list (WARNING: irreversible). Specify id or code for each item. Use ge Destructive delete_list_readrequest Delete a large volume list read request to free server resources. Always call this after d Destructive delete_view_readrequest Delete a large volume view read request to free server resources. Always call this after d Destructive run_delete Execute a delete action on a model. Use show_actions first to find the delete action ID. Destructive close_model Close (archive) a model. Requires workspace admin. Must be closed before bulk_delete_model Destructive set_currentperiod Set current period for a model (WARNING: may cause data loss if periods are removed). Use

All 70 Anaplan MCP tools →

Execute tools on other servers

Android Forensics ADB MCP Server adb_shell_command EMBA-MCP run_emba_scan Frida Game Hacking MCP remove_breakpoint Procmon request_elevation

Go deeper

High-risk tools in Anaplan 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 open_model

What does the open_model tool do? +

Open (wake up) a model. May return 202 if model is loading. It is categorised as a Execute tool in the Anaplan 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 open_model? +

Register the Anaplan MCP server in PolicyLayer and add a rule for open_model: 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 Anaplan MCP. Nothing to install.

What risk level is open_model? +

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

Can I rate-limit open_model? +

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

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

open_model is provided by the Anaplan MCP server (larasrinath/anaplan-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Anaplan MCP tool call.

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

CHECK YOUR STACK →