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Look up and convert Korean terms, physical names, and variable cases.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "mcp-variable" yet — see the docs or source repo.
Using the standard CSV dictionary, look up the physical column name for the Korean term "회원번호" and return possible naming forms.
Returns the mapped physical column name and a list of usable variable naming forms.
Convert the physical column name "CUST_NM" into common variable naming formats such as camelCase, snake_case, and PascalCase.
Outputs multiple variable-case versions of the column name for direct use in code.
Using the standard CSV dictionary, batch-check whether these Korean terms have mapped physical column names and mark any missing items: 회원번호, 가입일자, 상태코드.
Returns the mapping result for each term and highlights items not found in the dictionary.
Developers can use it to quickly map Korean business terms to physical column names when working with database schemas or API fields, reducing naming ambiguity.
When a team needs to standardize field names into code-friendly formats, it can convert physical names into different variable naming styles for development use.
Data analysts or product managers can use the standard CSV dictionary to look up mappings between terms and column names, improving communication efficiency.
It uses a standard CSV dictionary to look up and convert between Korean terminology, physical column names, and variable naming formats. It is suited for field-name mapping and variable-case conversion.
The description indicates that it relies on a standard CSV dictionary as the basis for conversion. Details about the dictionary format and setup are not provided; see the source repository.
Yes. The description explicitly says it supports lookup and transformation across terms, physical names, and variable cases, though the exact supported naming styles are not specified.
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