Use String Similarity Batch with your AI.
Connect your account once and let the AI you already use work with it, without building another integration. High-performance string similarity computations for batch processing of large text arrays using algorithms like Levenshtein and Jaro-Winkler.
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 · 2 capabilities
The complete String Similarity Batch capability set.
These are the exact actions your AI can choose when you ask it to work with String Similarity Batch.
01-02
2 capabilities in this set.
Part of 2 available through String Similarity Batch.
- 01
Compute single metric
For example Levenshtein) between two strings. Compute a string similarity metric
- 02
Batch rank candidates
Rank candidates based on similarity to a target
Observed, not estimated
624ms average. Fast in production.
String Similarity Batch is checked daily against the live service.
- Fastest day
- 464ms
- Slowest day
- 735ms
- 14-day trend
- Slowing+21%
Connect your client
One URL. Every client.
Activate the Connector, copy your link, and paste it into the client you already use. 2 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 String Similarity Batch, so you can see the experience inside your AI.
It does not authenticate your account with String Similarity Batch. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.
String Similarity Batch Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_2bdBBIz3zwAoWQWPkFs0dCarqz9V041FolEup60x/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 — String Similarity Batch capabilities are ready to use.
{
"mcpServers": {
"string-similarity-batch-mcp": {
"url": "https://edge.vinkius.com/vk_preview_2bdBBIz3zwAoWQWPkFs0dCarqz9V041FolEup60x/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 String Similarity Batch owners ask.
- 01
Can I use this for large datasets?
Yes, the batch_rank_canditates capability is designed to process arrays of candidates efficiently.
- 02
What is the maximum string length?
Each individual string can be up to 5000 characters.
- 03
Does it support Jaro-Winkler?
Yes, jaro_winkler is one of the supported metric types.
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