# Konid

> Use this tool when you need to understand nuances of language and communicate authentically with native speakers. Konid solves problems of literal translation by providing casual to formal phrase variations with cultural context and pronunciation guidance in 13+ languages. It is ideal for language learners, translators, and developers seeking to integrate authentic language expressions into their projects via compatible servers like VS Code, JetBrains, and more.

Canonical page: https://skillsregistry.net/skills/konid  
JSON: https://api.skillsregistry.net/v1/skills/konid

## Description

Konid helps users understand how native speakers actually communicate by returning three phrase variations per query ranging from casual to formal, each with cultural context and pronunciation guidance. Supporting 13+ languages including Mandarin, Japanese, Korean, Spanish, French, German, Portuguese, Italian, Russian, Arabic, and Hindi, it emphasizes authentic expression over literal translation. The server is compatible with Claude Code, Cursor, VS Code, Windsurf, Zed, and JetBrains.

## Trust

- **Trust score (0–1):** 0.80
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-28

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/konid)
- **Repository:** <https://github.com/robertnowell/konid-language-learning>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "konid"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/konid` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/konid/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt