Plugin · Claude Code · LLM Integration

Wakanachan Preferred Natural Language

wakanachan-preferred-natural-language is a Claude Code plugin for the Build phase that adds an MCP-based tool to detect and apply users’ preferred natural language in assistant output.

by wakanachan · github.com/wakanachan/preferred-natural-language

Wire MCP-based natural-language preference detection so Claude and other assistants reply in the user’s preferred language and locale automatically.

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Install

Add it to Claude Code

Install the plugin in Claude Code. One command, paste-ready.

Install the plugin
/plugin install wakanachan-preferred-natural-language@wakanachan/preferred-natural-language
Add to ClaudeUse the Agent APISkillselion is itself an MCP server - your agent can fetch this config directly.
Agent API

Built to be called by your agent

Skillselion is itself an MCP server. Your agent can pull this entry and a paste-ready install config straight from the API - no copy-paste.

Retrieve this entry with skillselion.get_details("plugin:wakanachan/preferred-natural-language") and the paste-ready config with skillselion.get_install_config("plugin:wakanachan/preferred-natural-language").

About

What it does

wakanachan-preferred-natural-language is a Claude Code plugin built around an MCP tool that detects and applies a user’s preferred natural language for AI assistant output. Solo builders shipping multilingual products or working across locales often hard-code English defaults; this integration listens for preference signals and routes responses through a prioritized detection chain with regional variant support. Install it when you are wiring agent tooling—custom MCP clients, internal copilots, or Claude Code workflows that must respect i18n from day one. The plugin emphasizes automatic detection and management rather than one-off translation prompts, which helps lifecycle support and growth content stay aligned with how users actually read. It is protocol-level plumbing: you still need product copy and QA in each language, but the assistant stops fighting the user’s locale. Technical setup assumes comfort with MCP registration and Claude plugin configuration; beginners can use it if they follow the repo’s install path for the single bundled plugin.

Highlights

  • MCP server for automatic natural-language preference detection (PNL)
  • 5-level priority chain for locale and regional language variants
  • Multilingual output management for major languages and i18n workflows
  • Claude plugin packaging for preferred natural language in assistant sessions
  • User-centric language detection without manual locale switches every chat

Why builders use it

Assistants default to the wrong language or locale, forcing solo builders to repeat instructions and breaking trust for multilingual users.

After you register the MCP plugin, agents can detect preferred language with a priority chain and respond in the right locale without manual toggling each session.

At a glance

  • Type - Plugin in LLM Integration.
  • Adoption - 0 installs, 0 stars, 0 votes.

FAQ

Who is wakanachan-preferred-natural-language for?

It is for developers building MCP-connected AI assistants who need automatic detection and honoring of users’ preferred natural languages and regional variants.

When should I use wakanachan-preferred-natural-language?

Use it during agent integration when multilingual output, locale management, or i18n behavior must be consistent across Claude Code and MCP clients.

How do I add wakanachan-preferred-natural-language to my agent?

Install the plugin from wakanachan/preferred-natural-language, configure the MCP server in Claude Code or your MCP host, and enable the preferred-natural-language tools in your agent session.

Discussion

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