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Connect RAG Chunk Boundary Optimizer (#1) to your AI

Set it up once and it works in ChatGPT, Claude, Cursor, and any other client you love. It all runs safely in the background, so you can relax and focus on what really matters. Fix broken text segments and improve retrieval accuracy.

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

Your AI does the work. We keep it safe and sound.

No other AI tool gives you this. Your workflow runs in the client you already love, your account stays protected, and you decide what the agent can and cannot do. It is the whole reason to make the switch.

Each Connector lives inside our infrastructure, the same place where your workflow runs. The three things below are already part of it, working quietly in the background so you never have to think about them. Nothing to add, nothing to set up, nothing to worry about.

A futuristic MCP client docking bay
V8 Isolate01

Each Connector runs inside its own sealed environment.

Each Connector runs inside its own sealed V8 runtime — no access to your files, your system, or other servers. A Connector never sees past its own request.

Kill Switch02

One switch stops every agent. Instantly.

One action deactivates every Connector, revokes every token, and ends every session at once. AI Governance keeps the record.

FinOps per User03

Spending limits that pause instead of surprise.

Every user keeps their own connections and credentials, isolated from everyone else. Anything that would cross your spending limit is held for your approval, not billed.

Three controls, built into the layer your AI connects through.

Curated set · 3 capabilities

We ship only the actions that matter.

Capability set01 / 01

01-03

3 capabilities in this set.

Part of 3 available through RAG Chunk Boundary Optimizer.

  1. 01

    Get chunking summary

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

  2. 02

    Validate overlap integrity

    Checks if character overlap remains consistent or if gaps exist between chunks.

  3. 03

    Analyze chunk boundaries

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

Real work

What teams actually run

01

RAG Optimization

Fine-tune your chunk size and overlap to improve how your agent finds relevant information.

02

Data Integrity Audits

Verify that your preprocessing pipeline isn't accidentally deleting text during chunking.

03

Semantic Quality Testing

Test how different linguistic markers affect the continuity of your text segments.

04

Pipeline Debugging

Find exactly where a chunking strategy is failing by inspecting specific junctions.

One connector, every AI

RAG Chunk Boundary Optimizer works with the most popular AI clients.

These are the most popular clients, each with a step-by-step guide: one link, set up once, with governance and visibility built in. And because everything runs on the MCP standard, the same connection also works in any other compatible client — nothing to rebuild.

ClaudeClaudeChatGPTChatGPTGeminiGeminiPerplexityPerplexityGrokGrokMicrosoft CopilotMicrosoft CopilotCursorCursorVS CodeVS CodeWindsurfWindsurfJetBrainsJetBrainsClineClineLangChainLangChainVercel AI SDKVercel AI SDKLovableLovableZ.aiZ.aiRaycastRaycastQwen CodeQwen CodeKimi CodeKimi CodeLe ChatLe Chat

Building your own app? The connector is yours to use.

You don't need a client to put RAG Chunk Boundary Optimizer to work: the same hosted connection plugs into your own applications and agent code, with the same governance on every request. Build with it, chat with it — one connection for both.

Observed, not estimated

860ms average. Fast in production.

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

Daily averagePeak 1073ms
Oct 3Today
Fastest day
672ms
Slowest day
1073ms
14-day trend
Slowing+10%

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

Guided setup for Claude? Set up RAG Chunk Boundary Optimizer in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work RAG Chunk Boundary Optimizer owners hand off.

This MCP is built for engineers building RAG-based applications who need to move past basic chunking methods.

  • 01

    AI Engineers

    They use it to tune chunking parameters for better retrieval performance.

  • 02

    Data Scientists

    They use it to validate the structural integrity of processed text datasets.

  • 03

    NLP Developers

    They use it to measure semantic continuity across text segments.

FAQ

Questions RAG Chunk Boundary Optimizer owners ask.

  • 01

    What does this MCP actually measure?

    It measures character overlap, sentence integrity, and semantic continuity using linguistic markers.

  • 02

    How does it help with RAG performance?

    It helps you find bad chunking boundaries that cause your agent to lose context or miss data.

  • 03

    Can I use this with Claude or Cursor?

    Yes, you can use this with any MCP-compatible client including Claude, Cursor, and Windsurf.

  • 04

    Does it detect missing text?

    Yes, the validate_overlap_integrity capability specifically checks for gaps between chunks.

  • 05

    Is it easy to set up?

    Vinkius hosts the MCP, so you just connect your client once and it is ready to use.

  • 06

    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.

  • 07

    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.

  • 08

    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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