chat-assistant · IMCP - Insecure Model Context Protocol MCP

WHAT IT DOES

What chat-assistant does on IMCP - Insecure Model Context Protocol

AI agents invoke chat-assistant to trigger actions in IMCP - Insecure Model Context Protocol. 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 chat-assistant needs a policy

An interactive chat assistant can execute queries, trigger downstream tool calls, and process arbitrary input. On a deliberately insecure server designed to expose AI security vulnerabilities, a general-purpose chat assistant is likely vulnerable to prompt injection, jailbreaking, or chained tool abuse. The description is minimal, but the server context elevates risk.

From the tool's definition 'Interactive chat assistant for general questions' - this is a general-purpose conversational tool on a deliberately vulnerable server (IMCP - 'The DVWA for AI Security') that 'exposes 16 critical security weaknesses in AI/ML systems'

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

chat-assistant Rate-limited

chat-assistant 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": {
    "chat-assistant": {
      "limits": [
        {
          "counter": "chat-assistant_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 IMCP - Insecure Model Context Protocol, so you can run agents against it safely.

FAQ

Questions about chat-assistant

What does the chat-assistant tool do? +

Interactive chat assistant for general questions. It is categorised as a Execute tool in the IMCP - Insecure Model Context Protocol MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on chat-assistant? +

Register the IMCP - Insecure Model Context Protocol MCP server in PolicyLayer and add a rule for chat-assistant: 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 IMCP - Insecure Model Context Protocol. Nothing to install.

What risk level is chat-assistant? +

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

Can I rate-limit chat-assistant? +

Yes. Add a rate_limit block to the chat-assistant 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 chat-assistant completely? +

Set action: deny in the PolicyLayer policy for chat-assistant. 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 chat-assistant? +

chat-assistant is provided by the IMCP - Insecure Model Context Protocol MCP server (nav33n25/imcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.