AI agents use stateful_chat to create or update resources in Grok MCP — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Grok MCP environment.
The tool name implies a chat interaction that maintains state (persisted conversation history). Sibling tools such as 'delete_stateful_response' and 'clear_chat_history' suggest that stateful_chat creates or modifies persistent session data on the server. With no description, confidence is low, but the most likely behavior is Write (creating/updating chat state).
From the tool's definition Tool name 'stateful_chat' and empty description; inferred from sibling tools like 'delete_stateful_response' and 'clear_chat_history' that stateful chat creates/maintains session state
Documented attack patterns abuse exactly the kind of access stateful_chat gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Grok MCP, and nothing reaches the server without passing your rules. This is the rule we recommend for stateful_chat:
{
"version": "1",
"default": "deny",
"tools": {
"stateful_chat": {
"limits": [
{
"counter": "stateful_chat_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
}stateful_chat 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.
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stateful_chat. It is categorised as a Write tool in the Grok MCP MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Grok MCP server in PolicyLayer and add a rule for stateful_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 Grok MCP. Nothing to install.
stateful_chat is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the stateful_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.
Set action: deny in the PolicyLayer policy for stateful_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.
stateful_chat is provided by the Grok MCP server (merterbak/grok-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Grok MCP, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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22 Grok MCP tools catalogued and risk-classified — across an index of 43,000+ MCP servers.