# oruk-mcp

> oruk-mcp — oruk-ai-oruk-mcp. Use this tool when you need to analyze transcriptions for emotional tone, speaking style, and other insights, and integrate these capabilities into your application using Python or TypeScript SDKs. It solves problems related to speech pattern recognition, sentiment analysis, and transcription analysis, providing valuable outputs through its REST API interface. Ideal for use cases involving voice data analysis, such as customer service, market research, or content creation.

Canonical page: https://skillsregistry.net/skills/oruk-ai-oruk-mcp  
JSON: https://api.skillsregistry.net/v1/skills/oruk-ai-oruk-mcp

## Description

Hosted MCP tools for Oruk transcription, emotion and speaking-style analysis. Python/TypeScript SDKs and the separate Resonance-2 REST route are documented in the README.

## Trust

- **Trust score (0–1):** 0.94
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/Oruk-AI/oruk-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": "oruk-ai-oruk-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/oruk-ai-oruk-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/oruk-ai-oruk-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