macro_recorder

Record the sequence of MCP tool calls to a portable JSON macro file. Actions: start | stop | list | load. Replay ships separately as

SERVERtdmcp — TouchDesigner MCP server SOURCE@dpantani/tdmcp

Medium RISK CLASS

Category Write

Parameters 00 required

Recommended Rate-limitedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/io-github-pantani-tdmcp/macro-recorder.md

WHAT IT DOES

What macro_recorder does on tdmcp — TouchDesigner MCP server

AI agents use macro_recorder to create or update resources in tdmcp — TouchDesigner MCP server, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your tdmcp — TouchDesigner MCP server environment.

RISK

Why macro_recorder is rated Medium

The tool writes recorded tool call sequences to a JSON macro file on disk. 'start', 'stop', 'list', and 'load' actions indicate creating and managing macro recording files. Writing files to disk is reversible (files can be deleted), so Write is appropriate.

From the tool's definition Record the sequence of MCP tool calls to a portable JSON macro file. Actions: start | stop | list | load.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs macro_recorder safely

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

macro_recorder Rate-limited

macro_recorder 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.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "macro_recorder": {
      "limits": [
        {
          "counter": "macro_recorder_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

LIMIT THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect tdmcp — TouchDesigner MCP server, apply this rule, and every macro_recorder call is checked against it from then on.

FAQ

Questions about macro_recorder

What does the macro_recorder tool do? +

Record the sequence of MCP tool calls to a portable JSON macro file. Actions: start | stop | list | load. Replay ships separately as. It is categorised as a Write tool in the tdmcp — TouchDesigner MCP server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on macro_recorder? +

Register the tdmcp — TouchDesigner MCP server MCP server in PolicyLayer and add a rule for macro_recorder: 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 tdmcp — TouchDesigner MCP server. Nothing to install.

What risk level is macro_recorder? +

macro_recorder is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit macro_recorder? +

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

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

macro_recorder is provided by the tdmcp — TouchDesigner MCP server MCP server (@dpantani/tdmcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

KEEP EXPLORING

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