High Risk →

mmx_text_chat

Chat with MiniMax text models. Supports system prompts and optional JSON mode. Use this for general reasoning, writing, coding help, or structured output.

How to control mmx_text_chat ↓

AI agents invoke mmx_text_chat to trigger actions in Mmx. 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.

High Risk

This tool triggers an external API call to MiniMax text models, executing inference on a remote system. It is not a simple read (no pre-existing data is retrieved), nor purely write (no persistent data is created). It executes an AI model invocation whose effects depend on the arguments provided (system prompts, JSON mode, queries).

From the tool's definition Chat with MiniMax text models... Use this for general reasoning, writing, coding help, or structured output.

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

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

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "mmx_text_chat": {
      "limits": [
        {
          "counter": "mmx_text_chat_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

mmx_text_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.

  1. Create a free account and register Mmx — 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.
RATE-LIMIT THIS TOOL →

Free to start. No card required.

Go deeper

What does the mmx_text_chat tool do? +

Chat with MiniMax text models. Supports system prompts and optional JSON mode. Use this for general reasoning, writing, coding help, or structured output. It is categorised as a Execute tool in the Mmx MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on mmx_text_chat? +

Register the Mmx MCP server in PolicyLayer and add a rule for mmx_text_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 Mmx. Nothing to install.

What risk level is mmx_text_chat? +

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

Can I rate-limit mmx_text_chat? +

Yes. Add a rate_limit block to the mmx_text_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 mmx_text_chat completely? +

Set action: deny in the PolicyLayer policy for mmx_text_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 mmx_text_chat? +

mmx_text_chat is provided by the Mmx MCP server (zth0828/mmx-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 Mmx tool call.

Deterministic rules across all 8 Mmx tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

Free to start. No card required.

8 Mmx tools catalogued and risk-classified — across an index of 42,500+ MCP servers.

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