New Your team’s decisions, in one playbook every coding agent works from. Never answer your agent twice

save_user_preferences_preset

Save the current user preferences as a named preset (Resolve 21.0.4+).

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/save-user-preferences-preset.md

What save_user_preferences_preset does on DaVinci Resolve MCP

AI agents use save_user_preferences_preset 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.

Why save_user_preferences_preset is rated Medium

Saves user preferences as a preset; reversible modification without destructive or severe side effects.

From the tool's definition Save the current user preferences as a named preset.

Questions about save_user_preferences_preset

What does the save_user_preferences_preset tool do? +

Save the current user preferences as a named preset (Resolve 21.0.4+). 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 save_user_preferences_preset? +

Register the DaVinci Resolve MCP server in PolicyLayer and add a rule for save_user_preferences_preset: 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 save_user_preferences_preset? +

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

Can I rate-limit save_user_preferences_preset? +

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

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

save_user_preferences_preset 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.

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

// THE MCP REGISTRY

PolicyLayer tracks 44,603 MCP servers and 515,000+ tools.

Every server has a live record: who publishes it, whether it answers without auth, its risk grade, every tool classified, the recommended policy. This page is one line of DaVinci Resolve's. Pull the full record:

Teams ship this data inside their own products. See what a licence covers →

// GET IN TOUCH

Have a question or want to learn more? Send us a message.

Message sent.

We'll get back to you soon.