Export a fine-tuned Unsloth model to various formats
AI agents use export_model to create or update resources in Unsloth MCP Server — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Unsloth MCP Server environment.
The export_model tool creates or persists data (exporting fine-tuned models to various formats), which is a reversible write operation. While it involves model files, it does not execute code on external systems, delete data, or move financial resources.
From the tool's definition Tool description states 'Export a fine-tuned Unsloth model to various formats' — this is a write operation that creates new model artifact files in specified formats, modifying the filesystem and potentially creating new versions of trained models.
Documented attack patterns abuse exactly the kind of access export_model gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Unsloth MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for export_model:
{
"version": "1",
"default": "deny",
"tools": {
"export_model": {
"limits": [
{
"counter": "export_model_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
}export_model 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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Export a fine-tuned Unsloth model to various formats. It is categorised as a Write tool in the Unsloth MCP Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Unsloth MCP Server MCP server in PolicyLayer and add a rule for export_model: 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 Unsloth MCP Server. Nothing to install.
export_model 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 export_model 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 export_model. 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.
export_model is provided by the Unsloth MCP Server MCP server (ototao/unsloth-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Unsloth MCP Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
Free to start. No card required.
6 Unsloth MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.