Use wink-tokenizer with your AI.
Connect your account once and let the AI you already use work with it, without building another integration. Tokenize text into words, numbers, emails, URLs, emojis, and hashtags deterministically. AI struggles with mixed content. this engine extracts exact linguistic
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.
Complete set · 1 capability
The complete wink-tokenizer capability set.
These are the exact actions your AI can choose when you ask it to work with wink-tokenizer.
01
1 capability in this set.
Part of 1 available through wink-tokenizer.
- 01
Natural tokenizer
Tokenize natural language text into exact words, numbers, emails, URLs, emojis, and hashtags
Observed, not estimated
875ms average. Fast in production.
wink-tokenizer is checked daily against the live service.
- Fastest day
- 736ms
- Slowest day
- 997ms
- 14-day trend
- Improving-6%
Connect your client
One URL. Every client.
Activate the Connector, copy your link, and paste it into the client you already use. 1 capability arrives 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 wink-tokenizer, so you can see the experience inside your AI.
It does not authenticate your account with wink-tokenizer. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.
wink-tokenizer Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_9uM8ikpa09EQ3HGlCDf8Yimb8DquT4Jkby5DTS0D/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 — wink-tokenizer capabilities are ready to use.
{
"mcpServers": {
"natural-tokenizer-engine-mcp": {
"url": "https://edge.vinkius.com/vk_preview_9uM8ikpa09EQ3HGlCDf8Yimb8DquT4Jkby5DTS0D/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 wink-tokenizer owners ask.
- 01
Why not just use regular expressions (regex)?
Regex is brittle. A regex for URLs might break if it ends with a period, or fail to handle complex unicode emojis. This engine uses a robust, battle-tested state machine designed specifically for natural language parsing.
- 02
How does it handle abbreviations vs end-of-sentence periods?
It's smart enough to know that 'Ph.D.' is a single word token, but 'world.' is the word 'world' followed by a punctuation token '.'. This is crucial for accurate sentence boundary detection.
- 03
Can it extract all emails from a large block of text?
Yes. Pass the text and filter the resulting tokens where tag === 'email'. You'll get an exact array of every email address found, completely separated from surrounding text.
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