get_close_matches

Use SequenceMatcher to return list of the best "good enough" matches.

word is a sequence for which close matches are desired (typically a
string).

possibilities is a list of sequences against which to match word
(typically a list of strings).

Optional arg n (default 3) is the maximum number of close matches to
return.  n must be > 0.

Optional arg cutoff (default 0.6) is a float in [0, 1].  Possibilities
that don't score at least that similar to word are ignored.

The best (no more than n) matches among the possibilities are returned
in a list, sorted by similarity score, most similar first.

>>> get_close_matches("appel", ["ape", "apple", "peach", "puppy"])
['apple', 'ape']
>>> import keyword as _keyword
>>> get_close_matches("wheel", _keyword.kwlist)
['while']
>>> get_close_matches("Apple", _keyword.kwlist)
[]
>>> get_close_matches("accept", _keyword.kwlist)
['except']

Input Schema

Name	Required	Description	Default
`cutoff`	No
`n`	No
`possibilities`	Yes
`word`	Yes

Input Schema (JSON Schema)

{
  "properties": {
    "cutoff": {
      "default": 0.6,
      "title": "cutoff",
      "type": "string"
    },
    "n": {
      "default": 3,
      "title": "n",
      "type": "string"
    },
    "possibilities": {
      "title": "possibilities",
      "type": "string"
    },
    "word": {
      "title": "word",
      "type": "string"
    }
  },
  "required": [
    "word",
    "possibilities"
  ],
  "title": "get_close_matchesArguments",
  "type": "object"
}

Ghost MCP Server

get_close_matches

Input Schema

Input Schema (JSON Schema)

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