MCP For Claude Marketplace
LLM Fine-Tuning Dataset Validator

LLM Fine-Tuning Dataset Validator MCP Connector for Claude

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Verify structural integrity, token distribution, and training costs of JSONL datasets.

5 tools Official Updated Oct 1, 2026 Official Vinkius Partner
More Details Connect to Claude

This MCP server provides a specialized toolkit for auditing large-scale JSONL datasets intended for model fine-tuning. It allows you to run validate_schema to ensure compliance with OpenAI or Anthropic formats, use analyze_tokens to understand token distribution, and identify redundant data via detect_duplicates. Additionally, you can perform class imbalance checks with audit_labels and calculate the economic impact of your dataset using estimate_cost.

llmfine-tuningjsonldatasetvalidation

5 tools expose this connector's capabilities to your AI agent.

validate_schema

Validates a dataset against a schema format

analyze_tokens

Analyzes token usage metrics in a dataset

audit_labels

Audits label distribution and imbalance

detect_duplicates

Detects duplicate entries in a dataset

estimate_cost

Estimates processing cost for a dataset

See how to talk to your AI agent using LLM Fine-Tuning Dataset Validator.

Check if my dataset at './data/train.jsonl' follows the OpenAI chat format.

The dataset at './data/train.jsonl' is valid and adheres to the 'openai_chat' schema requirements.

What are the token statistics for my training file?

The dataset contains a total of 1,250,000 tokens, with an average of 450 tokens per example and a maximum of 2,100 tokens.

Calculate the cost for my dataset if the price is $5.00 per million tokens.

The estimated total cost for processing this dataset is $6.25 based on the current token count.

The `validate_schema` tool supports 'openai_chat', 'completion', and 'anthropic_messages' formats.

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