vivek081166/japan-utils-mcp
by Various
MCP server exposing Japan-specific utilities (era conversion, romaji, holidays, postal codes, kana, name split) to AI agents.
MCP
vivek081166/japan-utils-mcp
Added 1 June 2026
Overview
This tool is an MCP server that exposes Japan-specific utilities to AI agents. It provides functions for era conversion, romaji transcription, holiday lookup, postal code search, kana conversion, and name splitting. AI agents can call these utilities via the MCP protocol to handle Japanese language and locale tasks.
Best for
Best for
Developers building AI agents that need programmatic access to Japanese language and locale utilities
Use cases
- Convert Japanese era dates to Gregorian calendar dates
- Look up Japanese postal codes by address or code
- Split Japanese full names into surname and given name
Notes
This tool is an MCP server that exposes Japan-specific utilities to AI agents. It provides functions for era conversion, romaji transcription, holiday lookup, postal code search, kana conversion, and name splitting. AI agents can call these utilities via the MCP protocol to handle Japanese language and locale tasks.
0 stars on GitHub. Last updated 2026-05-03. Licensed MIT.
Use cases
- Convert Japanese era dates to Gregorian calendar dates
- Look up Japanese postal codes by address or code
- Split Japanese full names into surname and given name
Pros
- Covers a useful set of Japan-specific data operations in one package
- Python-based, straightforward to deploy as an MCP server
- Reduces development time for AI agents needing Japanese locale support
Cons
- New project with no community adoption or track record
- Limited to the specific utilities currently implemented
- Requires an MCP-compatible AI agent to function
Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.
Pros
- Covers a useful set of Japan-specific data operations in one package
- Python-based, straightforward to deploy as an MCP server
- Reduces development time for AI agents needing Japanese locale support
Cons
- New project with no community adoption or track record
- Limited to the specific utilities currently implemented
- Requires an MCP-compatible AI agent to function
Pairs with
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