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@mukundakatta/lev-mcp

v0.1.0

Published

MCP server: string-distance metrics (Levenshtein, Damerau, Jaro-Winkler, similarity).

Vulnerabilities

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Links

Git

Maintainers

mukundakattamukundakatta

Keywords

mcpmodel-context-protocolclaudecursorclinewindsurfzedstring-distancelevenshteinjaro-winklersimilarity

Readme

lev-mcp

npm mcp license

MCP server: string-distance metrics. One call returns Levenshtein, Damerau-Levenshtein, Jaro, Jaro-Winkler, and a normalized similarity score. No external deps.

Tool

distance

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

→

{
  "a": "kitten", "b": "sitting",
  "levenshtein": 3,
  "damerau_levenshtein": 3,
  "jaro": 0.7460,
  "jaro_winkler": 0.7460,
  "similarity": 0.5714
}

Damerau-Levenshtein additionally allows adjacent-character transposition as a single edit — useful for typo detection (abcd ↔ acbd is 1 Damerau edit, 2 Levenshtein edits).

Configure

{ "mcpServers": { "lev": { "command": "npx", "args": ["-y", "@mukundakatta/lev-mcp"] } } }

License

MIT.