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create_finetune

Create Music Finetune. Spends ElevenLabs credits.

SERVERElevenlabs SOURCE@aiwerk/mcp-server-elevenlabs
Medium RISK CLASS
Category Write
Parameters 82 required
Recommended Rate-limitedsee the rule below
Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/aiwerk-mcp-server-elevenlabs/create-finetune.md

What create_finetune does on Elevenlabs

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

ParameterTypeRequiredDescription
name string Yes Name for the finetune (5-200 characters).
tags array Tags to associate with the finetune.
model_id string
visibility object Finetune visibility. Only 'private' and 'workspace' can be set.
files_paths array Audio files to train on. Local paths.
primary_genre string Yes Primary musical genre of the finetune.
files_filenames array Filenames to send for "files". Some endpoints infer the audio format from them.
files_base64_list array Base64 contents for "files", one entry per file. Use this when the server cannot read your local disk.

Parameters from the server's own tool schema.

Why create_finetune is rated Medium

An AI agent can call create_finetune faster than any human can review: one bad instruction and it creates or modifies resources in Elevenlabs by the hundred, each call as confident as the last.

Questions about create_finetune

What does the create_finetune tool do? +

Create Music Finetune. Spends ElevenLabs credits. It is categorised as a Write tool in the Elevenlabs MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

What parameters does create_finetune accept? +

create_finetune accepts 8 parameters: name, tags, model_id, visibility, files_paths, primary_genre, files_filenames, files_base64_list. Required: name, primary_genre. The full parameter table on this page comes from the server's own tool schema.

How do I enforce a policy on create_finetune? +

Register the Elevenlabs MCP server in PolicyLayer and add a rule for create_finetune: 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 Elevenlabs. Nothing to install.

What risk level is create_finetune? +

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

Can I rate-limit create_finetune? +

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

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

create_finetune is provided by the Elevenlabs MCP server (@aiwerk/mcp-server-elevenlabs). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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