MCP For Claude Marketplace
RAG Chunk Selection Optimizer

RAG Chunk Selection Optimizer MCP Connector for Claude

A+

A deterministic engine to select the most effective RAG information chunks within token budgets.

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

This MCP server provides a deterministic optimization engine for RAG (Retrieval-Augmented Generation) pipelines. It allows AI agents to select the most effective subsets of retrieved information chunks by maximizing relevance and coverage while strictly adhering to context token limits.

Key capabilities include:

  • select_chunks: Pick optimal chunks using strategies like Top-K, Relevance Threshold, or Diversity-Based selection.
  • deduplicate_chunks: Clean the retrieved pool by merging or removing redundant information to prevent repetition.
  • calculate_metrics: Evaluate the quality of a selection using metrics like information density, coverage score, and marginal value.

By using this tool, agents can ensure they stay within the LLM's context window while providing the highest quality information possible.

ragretrievaloptimizationtoken-managementdata-cleaning

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

calculate_metrics

Calculate efficiency and quality metrics for selected chunks

deduplicate_chunks

Remove or merge redundant chunks

select_chunks

Select optimal chunks from a retrieved set based on a strategy

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

Select the top 3 most relevant chunks from these retrieved items with a budget of 1000 tokens.

The selected chunks are: chunk_001 (relevance: 0.95), chunk_042 (relevance: 0.88), and chunk_015 (relevance: 0.82). Total tokens used: 850.

Clean up these retrieved chunks to remove any duplicates.

The redundant chunks have been merged. You now have 5 unique chunks instead of 7.

Calculate the information density for the following selected chunks.

The information density for the selected set is 0.012 relevance units per token.

The engine supports Top-K (picking the N most relevant), Relevance Threshold (picking chunks above a specific score), and Diversity-Based (maximizing unique sources within the budget).

Related Connectors

Criteo Marketing API

Criteo Marketing API MCP

10 tools Official

Equip your AI agent to manage Criteo marketing campaigns, ad sets, and budgets directly via the Criteo API.

A+ View details →
Error Classifier and Router

Error Classifier and Router MCP

3 tools Official

Classifies LLM and tool errors into a deterministic taxonomy for automated recovery.

A+ View details →
Accelerator Selection Bias Correction

Accelerator Selection Bias Correction MCP

3 tools Official

Quantify and correct selection bias in accelerator program outcomes.

A+ View details →
NEW
Community Arts Participation Planner

Community Arts Participation Planner MCP

5 tools Official

Strategic planning for local arts opportunities and logistics.

A+ View details →