MCP For Claude Marketplace
rag-chunk-boundary-optimizer

rag-chunk-boundary-optimizer MCP Connector for Claude

A+

Analyzes text chunking strategies for RAG pipelines by measuring overlap, sentence integrity, and semantic continuity.

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

This MCP server provides analytical tools to evaluate how text is partitioned in Retrieval-Augmented Generation (RAG) pipelines. It helps developers optimize chunking strategies by measuring three critical dimensions: character overlap between segments, sentence integrity to prevent mid-sentence breaks, and a semantic continuity proxy score based on linguistic markers. Use analyze_chunk_boundaries to inspect specific junctions, get_chunking_summary for aggregate statistical insights, and validate_overlap_integrity to detect missing text gaps between chunks.

ragchunkingnlptext-analysisllm-optimization

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

get_chunking_summary

Provides high-level statistical insights into the quality of an entire chunking strategy

validate_overlap_integrity

Checks if the character overlap is consistent or if there are gaps between chunks

analyze_chunk_boundaries

Evaluates a sequence of text chunks to determine their structural and semantic quality

See how to talk to your AI agent using rag-chunk-boundary-optimizer.

Analyze these text chunks for boundary quality: ['The quick brown fox.', 'fox jumps over the lazy dog.']

{"overlapCount": 3, "isMidSentence": false, "continuityScore": 0.0}

Give me a summary of the chunking performance for these segments.

{"averageOverlap": 15.5, "midSentenceRate": 0.1, "averageContinuity": 0.85, "totalBoundaries": 10}

Check if there are any gaps in my text chunks.

{"gapIndex": 2, "gapLength": 5}

You can use the `analyze_chunk_boundaries` tool, which returns an `isMidSentence` boolean for every boundary evaluated.

Related Connectors

RAG Chunk Optimization Calculator

RAG Chunk Optimization Calculator MCP

3 tools Official

Deterministic tool for optimizing RAG chunk size and overlap parameters.

A+ View details →
Prompt Chunking Strategy Optimizer

Prompt Chunking Strategy Optimizer MCP

3 tools Official

Optimize document chunking for LLM processing to maximize information density and context preservation.

A+ View details →
RAG Chunk Size Optimizer

RAG Chunk Size Optimizer MCP

0 tools Official

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

B View details →
Narrative Structure Analyzer

Narrative Structure Analyzer MCP

3 tools Official

Detect storytelling frameworks, tension ratios, and compositional quality in long-form copy.

A+ View details →