AI agents invoke chat to trigger actions in MemGPT MCP Server. 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.
This tool sends arbitrary messages to an external LLM provider, triggering network calls and potentially causing the LLM to perform actions, generate content, or consume API quota. The effects depend entirely on the arguments passed.
From the tool's definition 'Send a message to the current LLM provider' — triggers an external operation (LLM API call) whose effects depend on the message content and configured provider
Documented attack patterns abuse exactly the kind of access chat gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and MemGPT MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for chat:
{
"version": "1",
"default": "deny",
"tools": {
"chat": {
"limits": [
{
"counter": "chat_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
}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.
Free to start. No card required.
Send a message to the current LLM provider. It is categorised as a Execute tool in the MemGPT MCP Server MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the MemGPT MCP Server MCP server in PolicyLayer and add a rule for 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 MemGPT MCP Server. Nothing to install.
chat is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the 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 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.
chat is provided by the MemGPT MCP Server MCP server (vic563/memgpt-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from MemGPT 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.
5 MemGPT MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.