AI agents use save_project to create or update resources in DaVinci Resolve MCP Server — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your DaVinci Resolve MCP Server environment.
This tool modifies persistent state by saving project changes to disk. It is reversible (prior versions may exist, or changes can be undone in a subsequent session), so it is Write rather than Destructive. The severity is medium because misuse could result in overwriting important project work, but the operation is standard and expected in video editing workflows.
From the tool's definition Tool name 'save_project' and description 'Save the current project' indicate a write operation that persists current state of a video project to storage.
Documented attack patterns abuse exactly the kind of access save_project gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and DaVinci Resolve MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for save_project:
{
"version": "1",
"default": "deny",
"tools": {
"save_project": {
"limits": [
{
"counter": "save_project_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
}save_project 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.
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Save the current project. It is categorised as a Write tool in the DaVinci Resolve MCP Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the DaVinci Resolve MCP Server MCP server in PolicyLayer and add a rule for save_project: 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 Server. Nothing to install.
save_project 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 save_project 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 save_project. 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.
save_project is provided by the DaVinci Resolve MCP Server MCP server (tooflex/davinci-resolve-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from DaVinci Resolve MCP Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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32 DaVinci Resolve MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.