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. Analyze text chunking integrity in RAG pipelines by measuring overlap, sentence breaks, and semantic continuity.
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.
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.
01-03
3 capabilities in this set.
Part of 3 available through RAG Chunk Boundary Optimizer.
- 01
Identify breaks
Identifies chunks that end without terminal punctuation
- 02
Calculate overlap
Calculates the exact character overlap between two consecutive text chunks
- 03
Compute continuity
Computes a semantic continuity proxy score
Observed, not estimated
678ms average. Fast in production.
RAG Chunk Boundary Optimizer is checked daily against the live service.
- Fastest day
- 533ms
- Slowest day
- 805ms
- 14-day trend
- Stable-2%
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.
https://edge.vinkius.com/vk_preview_mPt2mXm4obeIw9EeTniFocxpoojaHnf45tDNszC5/mcpClaude Desktop
Follow the steps below to connect in seconds.
- 1In Claude Desktop, open Settings → Connectors.
- 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
- 3Click Add and start a new chat — RAG Chunk Boundary Optimizer capabilities are ready to use.
{
"mcpServers": {
"rag-chunk-boundary-optimizer-mcp": {
"url": "https://edge.vinkius.com/vk_preview_mPt2mXm4obeIw9EeTniFocxpoojaHnf45tDNszC5/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 does the server detect mid-sentence breaks?
The identify_breaks capability inspects the final character of each chunk in a provided array. If the last meaningful character is not a period, exclamation point, or question mark, it flags that index as a break.
- 02
What is the purpose of the continuity score?
The compute_continuity capability calculates a density score by analyzing the presence of pronouns and conjunctions within a 50-character window at the boundary. This serves as a proxy for how well semantic context is preserved between chunks.
- 03
Can I use this to optimize my existing embedding pipeline?
Yes. By using calculate_overlap and the other capabilities, you can quantitatively compare different window sizes and strides to find the configuration that minimizes fragmentation and maximizes context retention.
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