# Levenshtein Distance — REST API endpoint `levenshtein-distance`

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].

- Category: text
- MCP server: https://mcp.findutils.com/ (Streamable HTTP, no API keys, 120 req/min per IP)
- REST endpoint: POST https://api.findutils.com/api/tools/levenshtein-distance/execute (no API keys, 60 req/min per IP)
- Reference page: https://findutils.com/api/levenshtein-distance/
- Same tool on the other surface: https://findutils.com/mcp/levenshtein-distance/

## Call the endpoint (verified example)

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

# Parameter schema
curl https://api.findutils.com/api/tools/levenshtein-distance
```

## Input schema

| Argument | Type | Required | Description |
|---|---|---|---|
| `a` | string | yes | First string. |
| `b` | string | yes | Second string. |

Example arguments (verified):

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

OpenAPI 3.1 spec: https://findutils.com/api/openapi.json · Interactive docs: https://findutils.com/api/docs/

## Also an MCP tool

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

Then ask the client to call `findutils:levenshtein_distance`. Full MCP reference: https://findutils.com/mcp/levenshtein-distance/

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