# yeni_detect_lang_mcp_

> Use this tool when you need to automatically detect the language of given text, solving problems such as text classification and language identification. It takes in text input and outputs the detected language, providing a simple interface for integration into various applications. Ideal for use cases where language detection is crucial, such as multilingual text processing and analysis.

Canonical page: https://skillsregistry.net/skills/esmakymkci-yeni-detect-lang-mcp  
JSON: https://api.skillsregistry.net/v1/skills/esmakymkci-yeni-detect-lang-mcp

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** other
- **Updated:** 2026-09-01

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/esmakymkci/yeni_detect_lang_mcp_)
- **Repository:** <https://github.com/esmakymkci/yeni_Detect_lang_mcp>

## 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": "esmakymkci-yeni-detect-lang-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/esmakymkci-yeni-detect-lang-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/esmakymkci-yeni-detect-lang-mcp/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
