Set a timeline setting value. Args: setting_name: Name of the timeline setting to set (e.g. 'useCustomSettings', 'timelineFrameRate', 'timelineResolutionWidth', 'timelineResolutionHeight', 'timelineOutputResolutionWidth', 'timelineOutputResolutionHeight', 'colorSpaceTimeline', 'colorSpaceOutput')...
AI agents use set_timeline_setting 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.
This tool modifies timeline configuration settings in DaVinci Resolve, which are project-level parameters that affect video output quality and format. These changes are reversible (settings can be changed back), making it Write rather than Destructive. The medium severity reflects that incorrect timeline settings could degrade project quality or cause rendering issues, but the changes are undoable.
From the tool's definition Tool name 'set_timeline_setting' and description state it 'Set a timeline setting value' with parameters to modify timeline configuration such as frame rate, resolution dimensions, and color space settings.
Documented attack patterns abuse exactly the kind of access set_timeline_setting gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and DaVinci Resolve MCP, and nothing reaches the server without passing your rules. This is the rule we recommend for set_timeline_setting:
{
"version": "1",
"default": "deny",
"tools": {
"set_timeline_setting": {
"limits": [
{
"counter": "set_timeline_setting_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
}set_timeline_setting 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.
Free to start. No card required.
Set a timeline setting value. Args: setting_name: Name of the timeline setting to set (e.g. 'useCustomSettings', 'timelineFrameRate', 'timelineResolutionWidth', 'timelineResolutionHeight', 'timelineOutputResolutionWidth', 'timelineOutputResolutionHeight', 'colorSpaceTimeline', 'colorSpaceOutput'). setting_value: Value to set for the setting (string). 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.
Register the DaVinci Resolve MCP server in PolicyLayer and add a rule for set_timeline_setting: 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.
set_timeline_setting is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the set_timeline_setting 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.
Set action: deny in the PolicyLayer policy for set_timeline_setting. 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.
set_timeline_setting 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.
Deterministic rules across all 369 DaVinci Resolve MCP tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
Free to start. No card required.
369 DaVinci Resolve MCP tools catalogued and risk-classified — across an index of 42,500+ MCP servers.