produce_batch

Produce un lote de mensajes en un topic. Parametros: topic (requerido), messages (list de dicts con

SERVERMCP Framework Personal SOURCEinggerman/mcps

High RISK CLASS

Category Execute

Parameters 00 required

Recommended Rate-limitedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/inggerman-mcps/produce-batch.md

WHAT IT DOES

What produce_batch does on MCP Framework Personal

AI agents invoke produce_batch to trigger actions in MCP Framework Personal. 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.

RISK

Why produce_batch is rated High

produce_batch triggers real processes with real consequences. An agent gone sideways doesn't fire it once. It starts dozens of builds, sends mass notifications, or burns through compute before anyone looks up.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs produce_batch safely

PolicyLayer is an MCP gateway: it sits between your AI agents and MCP Framework Personal, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For produce_batch, this is the rule to start with:

produce_batch Rate-limited

produce_batch 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": {
    "produce_batch": {
      "limits": [
        {
          "counter": "produce_batch_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

RATE-LIMIT THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect MCP Framework Personal, apply this rule, and every produce_batch call is checked against it from then on.

FAQ

Questions about produce_batch

What does the produce_batch tool do? +

Produce un lote de mensajes en un topic. Parametros: topic (requerido), messages (list de dicts con. It is categorised as a Execute tool in the MCP Framework Personal MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on produce_batch? +

Register the MCP Framework Personal MCP server in PolicyLayer and add a rule for produce_batch: 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 MCP Framework Personal. Nothing to install.

What risk level is produce_batch? +

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

Can I rate-limit produce_batch? +

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

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

produce_batch is provided by the MCP Framework Personal MCP server (inggerman/mcps). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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