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ClaudeChatGPTPerplexityGeminiMicrosoft CopilotRaycastMeta AIGrokZ.aiQwenKimi
DeepSeekMistralCursorVS CodeWindsurfJetBrainsClineLovableVercel AI SDKLangChain

Use rag-chunk-boundary-optimizer with your AI.

Connect your account once and let the AI you already use work with it, without building another integration. Analyzes text chunking strategies for RAG pipelines by measuring overlap, sentence integrity, and semantic continuity.

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-boundary-optimizer capability set.

These are the exact actions your AI can choose when you ask it to work with rag-chunk-boundary-optimizer.

Capability set01 / 01

01-03

3 capabilities in this set.

Part of 3 available through rag-chunk-boundary-optimizer.

  1. 01

    Analyze chunk boundaries

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

  2. 02

    Get chunking summary

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

  3. 03

    Validate overlap integrity

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

Observed, not estimated

795ms average. Fast in production.

rag-chunk-boundary-optimizer is checked daily against the live service.

Daily averagePeak 943ms
Aug 20Today
Fastest day
587ms
Slowest day
943ms
14-day trend
Slowing+38%

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-boundary-optimizer, so you can see the experience inside your AI.

It does not authenticate your account with rag-chunk-boundary-optimizer. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.

rag-chunk-boundary-optimizer Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_f3mbb934ODmYj40cpYR2BbY8BQOqdDe7gJEWXZfQ/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-boundary-optimizer capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "rag-chunk-boundary-optimizer-1-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_f3mbb934ODmYj40cpYR2BbY8BQOqdDe7gJEWXZfQ/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-boundary-optimizer owners ask.

  • 01

    How can I check if my chunks are breaking sentences?

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

  • 02

    What is the purpose of the continuity score?

    The continuity score is a proxy for semantic integrity. It measures the density of pronouns and conjunctions at the boundary to identify if a logical connection is being severed.

  • 03

    How do I get a high-level overview of my chunking strategy?

    Use the get_chunking_summary capability to receive aggregate metrics like average overlap and mid-sentence rates for your entire set of chunks.

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