Levenshtein Distance

Text REST API MCP

Compute the Levenshtein edit distance between two strings (minimum single-character insertions, deletions, or substitutions to transform A into B). Also returns a normalised similarity in [0, 1].

This page documents the HTTP endpoint POST /api/tools/levenshtein-distance/execute. See the MCP reference →

View as Markdown

Call it over REST

POST https://api.findutils.com/api/tools/levenshtein-distance/execute · no API keys · 60 requests/min per IP

Execute — verified arguments

curl -X POST https://api.findutils.com/api/tools/levenshtein-distance/execute \
  -H "Content-Type: application/json" \
  -d '{
    "a": "kitten",
    "b": "sitting"
  }'

Parameter schema for this endpoint

curl https://api.findutils.com/api/tools/levenshtein-distance

Interactive docs · OpenAPI 3.1 spec · All REST tools

Input schema

Argument	Type	Required	Description
a	string	yes	First string.
b	string	yes	Second string.

Example arguments (verified)

{
  "a": "kitten",
  "b": "sitting"
}

Also an MCP tool

Claude, Cursor, and any MCP client can call this tool as findutils:levenshtein_distance after one connect command.

Connect once

claude mcp add findutils --transport http https://mcp.findutils.com/

Open the MCP reference for Levenshtein Distance →

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