Use Native V8 with your AI.
Connect your account once and let the AI you already use work with it, without building another integration. Calculate exact Levenshtein, Jaro-Winkler, and Dice distances for fuzzy text matching natively local.
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 Native V8 capability set.
These are the exact actions your AI can choose when you ask it to work with Native V8.
01
1 capability in this set.
Part of 1 available through Native V8.
- 01
Calculate fuzzy distance
Calculates deterministic Levenshtein, Jaro-Winkler, and Dice string distances between two texts
Observed, not estimated
807ms average. Fast in production.
Native V8 is checked daily against the live service.
- Fastest day
- 666ms
- Slowest day
- 1075ms
- 14-day trend
- Slowing+8%
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 Native V8, so you can see the experience inside your AI.
It does not authenticate your account with Native V8. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.
Native V8 Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_xvVQOLDybWIA1r0Xqh3QvkWg4DBUiJY5auBfso8h/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 — Native V8 capabilities are ready to use.
{
"mcpServers": {
"fuzzy-string-distance-engine-mcp": {
"url": "https://edge.vinkius.com/vk_preview_xvVQOLDybWIA1r0Xqh3QvkWg4DBUiJY5auBfso8h/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 Native V8 owners ask.
- 01
When should I use Levenshtein?
Levenshtein counts the absolute number of character edits (insertions, deletions, substitutions) required to match the strings. Great for simple spell-checks.
- 02
When is Jaro-Winkler better?
Jaro-Winkler gives a score from 0 to 1 and heavily weights matching prefixes. It is the industry standard for matching personal names in databases.
- 03
Why not use embeddings?
Embeddings match meaning (semantics). Fuzzy string distances match characters (lexical). If you want to match 'cat' to 'catt', string distance is better.
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