INDIVIDUAL MCP TOOL

oruk_list_models

List oruk’s speech models with lifecycle, current subscription plans, and explicitly labeled legacy reference rates, the five API tasks, the 15 emotion and 16 speaking-style labels, and audio limits.

oruk.ainone authenticationAvailability not checked

LIVE ENDPOINT

https://oruk.ai/mcp

No auth detected

Connect to this endpoint to inspect the live schema for oruk_list_models and invoke it with your own arguments.

Indexed input schema

{}

Risk classification

Inferred read-only · medium confidence · heuristic, not a guarantee.

No write-capable action terms were found; this is not proof that invocation has no side effects.

Parent server

oruk.ai

CONNECT WITH APPROVAL

Client installation

Review this server and its permissions before adding it. Secret placeholders must be set locally.

Codex

~/.codex/config.toml

[mcp_servers.oruk]
url = "https://oruk.ai/mcp"
enabled = true

Claude Code

.mcp.json

{
  "mcpServers": {
    "oruk": {
      "type": "http",
      "url": "https://oruk.ai/mcp"
    }
  }
}

Claude Desktop

Settings → Connectors → Add custom connector

Name: oruk
Remote MCP URL: https://oruk.ai/mcp

Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.

Cursor

.cursor/mcp.json

{
  "mcpServers": {
    "oruk": {
      "url": "https://oruk.ai/mcp"
    }
  }
}

Visual Studio Code

.vscode/mcp.json

Add to Visual Studio Code

{
  "servers": {
    "oruk": {
      "type": "http",
      "url": "https://oruk.ai/mcp"
    }
  }
}

Generic MCP

Client-specific MCP configuration

{
  "name": "oruk",
  "transport": "streamable-http",
  "url": "https://oruk.ai/mcp"
}

MCP Inspector

Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.

Related tools

oruk_analyze_speech — Transcribe English audio AND score how it was said in one call: transcript, tagged transcript, selected scores from 15 emotion and 16 speaking-style labels, and time-local segments.
oruk_transcribe_audio — Transcribe prerecorded English audio to text with time-ordered segments and word timings.
oruk_analyze_tone — Score how speech sounds without transcribing it: selected emotion (happy, frustrated, worried, …) and speaking-style (sarcastic, confident, hesitant, warm, …) scores per acoustic segment.
oruk_check_usage — Verify that an Oruk API key works and report the subscription, remaining audio minutes, and recent API usage.
oruk_create_trial_key — Mint a real, temporary oruk API key with no account required: 3 requests, expires in 30 minutes, spends from a capped shared budget.
oruk_get_started — Quickstart for the oruk Speech API and this MCP server: how to get an API key, per-client MCP configuration snippets, SDK install commands, and an optional routing rule the user can add to their agent instructions.