send_raw_lightroom_command

Send a raw command to the plugin (advanced/debug use).

SERVERLightroom Classic MCP SOURCE4xiomdev/lightroom-classic-mcp

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/4xiomdev-lightroom-classic-mcp/send-raw-lightroom-command.md

WHAT IT DOES

What send_raw_lightroom_command does on Lightroom Classic MCP

AI agents invoke send_raw_lightroom_command to trigger actions in Lightroom Classic MCP. 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 send_raw_lightroom_command is rated High

Sending raw/arbitrary commands to a plugin bridge is an Execute-category action. The tool is explicitly labeled for advanced/debug use, implying it can trigger a wide range of operations depending on the command payload, potentially spanning read, write, or destructive actions.

From the tool's definition 'Send a raw command to the plugin (advanced/debug use)' — executes arbitrary raw commands against the Lightroom plugin bridge

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs send_raw_lightroom_command safely

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

send_raw_lightroom_command Rate-limited

send_raw_lightroom_command 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": {
    "send_raw_lightroom_command": {
      "limits": [
        {
          "counter": "send_raw_lightroom_command_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 Lightroom Classic MCP, apply this rule, and every send_raw_lightroom_command call is checked against it from then on.

FAQ

Questions about send_raw_lightroom_command

What does the send_raw_lightroom_command tool do? +

Send a raw command to the plugin (advanced/debug use). It is categorised as a Execute tool in the Lightroom Classic MCP MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on send_raw_lightroom_command? +

Register the Lightroom Classic MCP server in PolicyLayer and add a rule for send_raw_lightroom_command: 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 Lightroom Classic MCP. Nothing to install.

What risk level is send_raw_lightroom_command? +

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

Can I rate-limit send_raw_lightroom_command? +

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

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

send_raw_lightroom_command is provided by the Lightroom Classic MCP server (4xiomdev/lightroom-classic-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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