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ClaudeChatGPTPerplexityGeminiMicrosoft CopilotRaycastMeta AIGrokZ.aiQwenKimi
DeepSeekMistralCursorVS CodeWindsurfJetBrainsClineLovableVercel AI SDKLangChain

Use Markdown Semantic Chunker with your AI.

Connect your account once and let the AI you already use work with it, without building another integration. A deterministic engine for splitting Markdown text into semantically coherent chunks based on header hierarchy and paragraph boundaries.

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 Markdown Semantic Chunker capability set.

These are the exact actions your AI can choose when you ask it to work with Markdown Semantic Chunker.

Capability set01 / 01

01-03

3 capabilities in this set.

Part of 3 available through Markdown Semantic Chunker.

  1. 01

    Generate semantic chunks

    Generates semantic chunks from markdown content

  2. 02

    Get header structure

    Extracts the header structure from markdown

  3. 03

    Calculate markdown token density

    Calculates the token density of markdown content

Observed, not estimated

513ms average. Fast in production.

Markdown Semantic Chunker is checked daily against the live service.

Daily averagePeak 683ms
Aug 25Today
Fastest day
489ms
Slowest day
683ms
14-day trend
Stable-4%

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 Markdown Semantic Chunker, so you can see the experience inside your AI.

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

Markdown Semantic Chunker Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_7rlgv7c4pKsFI7OUQzClGBELy5KOHUclBVDqK0KP/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 — Markdown Semantic Chunker capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "markdown-semantic-chunker-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_7rlgv7c4pKsFI7OUQzClGBELy5KOHUclBVDqK0KP/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 Markdown Semantic Chunker owners ask.

  • 01

    How does the chunking process maintain context?

    The capability assigns a hierarchical path to every chunk, representing its position in the document tree (e.g., Parent > Child). This ensures that even when text is split, the structural lineage remains attached to the content.

  • 02

    What happens if a section is too large for the token limit?

    If a header group exceeds the maxChunkSizeTokens, the engine identifies paragraph boundaries marked by double newlines and splits the content at these points to create smaller, valid chunks.

  • 03

    Can I preview the document structure before chunking?

    Yes, you can use the get_header_structure capability to extract and view the identified heading hierarchy without performing the full chunking operation.

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