timeline_duplicate

Duplicate the current timeline.

SERVERDaVinci Resolve MCP SOURCEsamuelgursky/davinci-resolve-mcp

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/samuelgursky-davinci-resolve-mcp/timeline-duplicate.md

WHAT IT DOES

What timeline_duplicate does on DaVinci Resolve MCP

AI agents use timeline_duplicate to create or update resources in DaVinci Resolve MCP, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your DaVinci Resolve MCP environment.

RISK

Why timeline_duplicate is rated Medium

Duplicating a timeline creates new data (a copy of an existing timeline) in the DaVinci Resolve project. This is a reversible modification operation, fitting the Write category (creates or modifies data reversibly).

From the tool's definition Tool name 'timeline_duplicate' and description 'Duplicate the current timeline' indicate creation of a new copy of an existing timeline, which is a reversible write operation that modifies the project state by adding data.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs timeline_duplicate safely

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

timeline_duplicate Rate-limited

timeline_duplicate 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": {
    "timeline_duplicate": {
      "limits": [
        {
          "counter": "timeline_duplicate_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 DaVinci Resolve MCP, apply this rule, and every timeline_duplicate call is checked against it from then on.

FAQ

Questions about timeline_duplicate

What does the timeline_duplicate tool do? +

Duplicate the current timeline. It is categorised as a Write tool in the DaVinci Resolve MCP MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on timeline_duplicate? +

Register the DaVinci Resolve MCP server in PolicyLayer and add a rule for timeline_duplicate: 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 DaVinci Resolve MCP. Nothing to install.

What risk level is timeline_duplicate? +

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

Can I rate-limit timeline_duplicate? +

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

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

timeline_duplicate is provided by the DaVinci Resolve MCP server (samuelgursky/davinci-resolve-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

KEEP EXPLORING

More on DaVinci Resolve, and thousands of servers like it.

This server

All 355 DaVinci Resolve tools →

Across the catalogue

The MCP Attack Database →

Guides

Govern customer-ops agents →Argument validation →Scoped token →