Download PDFMarkdown Version
ClaudeChatGPTPerplexityGeminiMicrosoft CopilotRaycastMeta AIGrokZ.aiQwenKimi
DeepSeekMistralCursorVS CodeWindsurfJetBrainsClineLovableVercel AI SDKLangChain

Use fastest-levenshtein with your AI.

Connect your account once and let the AI you already use work with it, without building another integration. Calculate the exact edit distance between two strings. Essential for fuzzy matching, spell checking, and deduplication. Stop LLMs from guessing string similarit

Included with plan

Ask AI about this Connector

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.

ChatGPTClaudeCursorPerplexityGeminiMicrosoft CopilotRaycastMeta AI

Complete set · 1 capability

The complete fastest-levenshtein capability set.

These are the exact actions your AI can choose when you ask it to work with fastest-levenshtein.

Capability set01 / 01

01

1 capability in this set.

Part of 1 available through fastest-levenshtein.

  1. 01

    Levenshtein distance

    Calculate edit distance between two strings, or find the closest match from an array

Observed, not estimated

801ms average. Fast in production.

fastest-levenshtein is checked daily against the live service.

Daily averagePeak 965ms
Aug 20Today
Fastest day
651ms
Slowest day
965ms
14-day trend
Slowing+25%

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 fastest-levenshtein, so you can see the experience inside your AI.

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

fastest-levenshtein Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_bxYczImxX08vGJbFf0KWMliJRUpfSAhrPHLJOLpS/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 — fastest-levenshtein capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "levenshtein-distance-engine-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_bxYczImxX08vGJbFf0KWMliJRUpfSAhrPHLJOLpS/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 fastest-levenshtein owners ask.

  • 01

    Why can't Claude just do fuzzy matching?

    LLMs operate on semantic tokens, not individual characters. They often hallucinate similarity based on meaning rather than spelling. Levenshtein gives the agent absolute mathematical proof of character-level similarity, preventing duplicate data entry.

  • 02

    What does a distance score of 2 mean?

    It means you need exactly 2 edits (insertions, deletions, or substitutions) to turn string A into string B. Example: 'kiten' to 'sitting' takes 3 edits (substitute k->s, substitute e->i, insert g).

  • 03

    Can it search an array to find the best match?

    Yes. Pass an array to the 'targetArray' parameter and it will return the single closest string. Perfect for mapping user typos to a known list of tags or categories.

Explore

More in Developer Tools

Suggestions