Download PDFMarkdown Version
ClaudeChatGPTPerplexityGeminiMicrosoft CopilotRaycastMeta AIGrokZ.aiQwenKimi
DeepSeekMistralCursorVS CodeWindsurfJetBrainsClineLovableVercel AI SDKLangChain

Use RAG Chunk Optimizer with your AI.

Connect your account once and let the AI you already use work with it, without building another integration. Evaluate RAG chunking strategies by calculating segmentation metrics, embedding costs, and context viability.

Included with plan

Ask AI about this Connector

Developed, maintained, and hosted by Vinkius.

MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED

Waiting for input…

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

ChatGPTClaudeCursorPerplexityGeminiMicrosoft CopilotRaycastMeta AI

Observed, not estimated

594ms average. Fast in production.

RAG Chunk Optimizer is checked daily against the live service.

Daily averagePeak 759ms
Aug 20Today
Fastest day
449ms
Slowest day
759ms
14-day trend
Slowing+33%

Connect your client

One URL. Every client.

Activate the Connector, copy your link, and paste it into the client you already use. 0 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 Optimizer, so you can see the experience inside your AI.

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

RAG Chunk Optimizer Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_voGm2jUbpmHE5w6WjTqTjNpUxuInJhx6ZinrST7h/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 Optimizer capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "rag-chunk-size-optimizer-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_voGm2jUbpmHE5w6WjTqTjNpUxuInJhx6ZinrST7h/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 Optimizer owners ask.

  • 01

    How can I calculate the cost of my embedding process?

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

  • 02

    How does the capability detect problematic chunks?

    The identify_fragmented_chunks capability checks if the final chunk in a sequence falls below your specified minThreshold, flagging it as a fragmented chunk.

  • 03

    What metrics are provided for segmentation?

    The compute_segmentation_metrics capability returns the total number of chunks and the effective overlap percentage, which represents the ratio of overlap to chunk size.

Explore

More in Optimization

Suggestions