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ClaudeChatGPTPerplexityGeminiMicrosoft CopilotRaycastMeta AIGrokZ.aiQwenKimi
DeepSeekMistralCursorVS CodeWindsurfJetBrainsClineLovableVercel AI SDKLangChain

Use RAG Chunk Selection Optimizer with your AI.

Connect your account once and let the AI you already use work with it, without building another integration. A deterministic engine to select the most effective RAG information chunks within token budgets.

Included with plan

Ask AI about this Connector

Developed, maintained, and hosted by Vinkius.

MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED

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Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.

ChatGPTClaudeCursorPerplexityGeminiMicrosoft CopilotRaycastMeta AI

Complete set · 3 capabilities

The complete RAG Chunk Selection Optimizer capability set.

These are the exact actions your AI can choose when you ask it to work with RAG Chunk Selection Optimizer.

Capability set01 / 01

01-03

3 capabilities in this set.

Part of 3 available through RAG Chunk Selection Optimizer.

  1. 01

    Calculate metrics

    Calculate efficiency and quality metrics for selected chunks

  2. 02

    Deduplicate chunks

    Remove or merge redundant chunks

  3. 03

    Select chunks

    Select optimal chunks from a retrieved set based on a strategy

Observed, not estimated

859ms average. Fast in production.

RAG Chunk Selection Optimizer is checked daily against the live service.

Daily averagePeak 1011ms
Aug 20Today
Fastest day
683ms
Slowest day
1011ms
14-day trend
Slowing+39%

Connect your client

One URL. Every client.

Activate the Connector, copy your link, and paste it into the client you already use. 3 capabilities arrive ready to run.

Preview access · not provider authentication

The vk_preview_* token belongs to Vinkius preview infrastructure. It lets Claude discover and display the capabilities of RAG Chunk Selection Optimizer, so you can see the experience inside your AI.

It does not authenticate your account with RAG Chunk Selection Optimizer. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.

RAG Chunk Selection Optimizer Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_MUkr0meo1CTgmH0DxXIUM43TITGllkXwBnnhs3Kv/mcp

Claude Desktop

Follow the steps below to connect in seconds.

  1. 1In Claude Desktop, open Settings → Connectors.
  2. 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
  3. 3Click Add and start a new chat — RAG Chunk Selection Optimizer capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "rag-chunk-selection-optimizer-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_MUkr0meo1CTgmH0DxXIUM43TITGllkXwBnnhs3Kv/mcp"
    }
  }
}
  • Claude
  • ChatGPT
  • Cursor
  • VS Code
  • Windsurf
  • Claude Code
  • JetBrains
  • Cline

Step-by-step instructions for each client are in the guide. How to connect

FAQ

Questions RAG Chunk Selection Optimizer owners ask.

  • 01

    What are the different selection strategies?

    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).

  • 02

    How does the optimizer handle token limits?

    The select_chunks capability accepts a contextBudgetTokens parameter. The engine ensures the sum of tokenCount for all selected chunks does not exceed this limit.

  • 03

    Can I remove redundant information?

    Yes, you can use the deduplicate_chunks capability to identify and merge overlapping chunks, which helps in reducing noise and saving tokens.

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