Medium Risk

model_create

Create a new model (DEXPI P&ID or SFILES flowsheet) - Replaces dexpi_create_pid and sfiles_create_flowsheet

How to control model_create ↓

What model_create does on Engineering MCP Server

AI agents use model_create to create or update resources in Engineering MCP Server — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Engineering MCP Server environment.

Medium Risk

Why model_create needs a policy

The tool creates new data artifacts (P&ID or flowsheet models) but does not irreversibly delete data, execute arbitrary code, or move money. It is a reversible Write operation since created models can be modified or removed.

From the tool's definition Tool name contains 'create' and description states 'Create a new model' and 'Replaces dexpi_create_pid and sfiles_create_flowsheet'. This creates new engineering diagram files/models in machine-readable formats.

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

How to control model_create

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

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "model_create": {
      "limits": [
        {
          "counter": "model_create_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

model_create stays usable, but capped — an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.

  1. Create a free account and register Engineering MCP Server — nothing to install.
  2. Add this policy — paste it, or build it visually.
  3. Point your MCP client (Claude, Cursor, anything) at your gateway URL.
LIMIT THIS TOOL →

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Related tools and policies

Go deeper

Questions about model_create

What does the model_create tool do? +

Create a new model (DEXPI P&ID or SFILES flowsheet) - Replaces dexpi_create_pid and sfiles_create_flowsheet. It is categorised as a Write tool in the Engineering MCP Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on model_create? +

Register the Engineering MCP Server MCP server in PolicyLayer and add a rule for model_create: 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 Engineering MCP Server. Nothing to install.

What risk level is model_create? +

model_create is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit model_create? +

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

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

model_create is provided by the Engineering MCP Server MCP server (puran-water/dexpi-sfiles-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Engineering MCP Server tool call.

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

Free to start. No card required.

72 Engineering MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.

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