INDIVIDUAL MCP TOOL

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.ainone authenticationAvailability not checked

LIVE ENDPOINT

https://oruk.ai/mcp

No auth detected

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

{}

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

CONNECT WITH APPROVAL

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.

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_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_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.