MCP For Claude Marketplace
RAG Chunk Size Optimizer

RAG Chunk Size Optimizer MCP Connector for Claude

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Evaluate RAG chunking strategies by calculating segmentation metrics, embedding costs, and context viability.

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

Optimize your Retrieval-Augmented Generation (RAG) pipelines with precise segmentation analysis. This MCP server provides specialized tools to evaluate how different chunking strategies impact retrieval performance and operational costs. Use compute_segmentation_metrics to determine total chunk counts and effective overlap percentages, preventing context cleavage. Utilize estimate_embedding_cost to forecast the financial expenditure of processing large corpora based on your provider's pricing. Finally, use identify_fragmented_chunks to detect 'tail fragments' that fall below your minimum viable context length, ensuring every segment maintains sufficient semantic density for high-quality retrieval.

Available Tools

your_tool_name

ragchunkingembeddingsllmcost-estimation

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

See how to talk to your AI agent using RAG Chunk Size Optimizer.

I have a 50,000 token document. If I use a chunk size of 512 and an overlap of 50, how many chunks will I have?

With a total of 50,000 tokens, a chunk size of 512, and an overlap of 50, you will generate approximately 104 chunks.

What is the estimated cost for embedding 1,000,000 tokens at a price of $0.00002 per token?

The estimated cost to process 1,000,000 tokens at that rate is $0.02.

Will my last chunk be too small if I use a 1000 token chunk size and 100 token overlap on a 2500 token document with a 200 token minimum threshold?

Yes, the final fragment will be approximately 500 tokens. Since this is above your 200 token threshold, it is not flagged as fragmented, but you should monitor for semantic density.

You can use the `estimate_embedding_cost` tool by providing the total token count and your provider's price per token. Tools available: `your_tool_name`.

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