owui_chat · ML Lab MCP: Risk & Policy

WHAT IT DOES

What owui_chat does on ML Lab MCP

AI agents invoke owui_chat to trigger actions in ML Lab MCP. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call — builds kicked off, notifications sent, workflows started.

WHY IT NEEDS A POLICY

Why owui_chat needs a policy

This tool executes a chat interaction through Open WebUI, triggering external model inference using configured models and knowledge bases. It's not a simple read (it sends input and drives an AI pipeline), and its effects depend on the arguments passed.

From the tool's definition Chat through Open WebUI (uses model config + knowledge)

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

owui_chat Rate-limited

owui_chat 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.

View as policy code

policy.json

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

RATE-LIMIT THIS TOOL →

Instant setup, no code required.

PolicyLayer is an MCP gateway: every tool call is checked against your rule before it reaches ML Lab MCP, so you can run agents against it safely.

FAQ

Questions about owui_chat

What does the owui_chat tool do? +

Chat through Open WebUI (uses model config + knowledge). It is categorised as a Execute tool in the ML Lab 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 owui_chat? +

Register the ML Lab MCP server in PolicyLayer and add a rule for owui_chat: 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 ML Lab MCP. Nothing to install.

What risk level is owui_chat? +

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

Can I rate-limit owui_chat? +

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

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

owui_chat is provided by the ML Lab MCP server (pushpullcommitpush/ml-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.