MCP server

oruk Speech Official

ai.oruk/speech

Checked 26 Oct 2026, 08:29 UTC · Connected to it and listed its tools

Hosted speech-to-text + speech emotion/tone analysis for agents. No install; trial keys built in.

Website

At a glance

Type

MCP server

Publisher

oruk.ai (verified by the MCP Registry)

Status

Working at last check

Tools

8

Token cost

About 2,990 tokens per request

Sets up in

Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok

Last checked

26 Oct 2026, 08:29 UTC

Connect it to your agent

Add to CursorAdd to VS CodeVS Code Insiders

Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.

Claude Code

claude mcp add --transport http speech https://oruk.ai/mcp

Claude Desktop

Settings → Connectors → Add custom connector, and paste the URL.

Codex (config.toml)

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

Gemini CLI

{"mcpServers":{"speech":{"httpUrl":"https://oruk.ai/mcp"}}}

Cursor

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

VS Code

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

Antigravity

agy mcp add speech https://oruk.ai/mcp

ChatGPT

Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.

OpenAI API (Responses tools)

{"type":"mcp","server_label":"speech","server_url":"https://oruk.ai/mcp","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"speech","server_url":"https://oruk.ai/mcp"}

Tools

• oruk_analyze_speech ~684 tokens
  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. Use this when the user cares about both the words and the delivery — meetings, support calls, interviews, voice notes.
• oruk_analyze_tone ~756 tokens
  Score how speech sounds without transcribing it: selected emotion (happy, frustrated, worried, …) and speaking-style (sarcastic, confident, hesitant, warm, …) scores per acoustic segment. Runs the Resonance encoder and affect head only — the transcription decoder is never invoked, so nothing is tran
• oruk_check_usage ~160 tokens
  Verify that an Oruk API key works and report the subscription, remaining audio minutes, and recent API usage. Use this after setup or to diagnose access and usage limits. Requires the Authorization header from your MCP config or a temporary api_key.
• oruk_create_trial_key ~160 tokens
  Mint a real, temporary oruk API key with no account required: 3 requests, expires in 30 minutes, spends from a capped shared budget. Use this when no Authorization header is configured and the user wants to try transcription or tone analysis right now. Pass the returned key as the api_key argument o
• oruk_get_started ~127 tokens
  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. No API key required. Use this when setting oruk up for the first time or when the use
• oruk_list_models ~126 tokens
  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. No API key required. Use this to choose a model, estimate cost before analyzing long audio, or see w
• oruk_plan_hume_migration ~340 tokens
  Return bounded planning guidance from redacted enums and counts only. No key is needed. Never send source, paths, audio, credentials or provider responses. This does not inspect customer code, generate or apply a patch, run inference, validate score equivalence or complete a migration; the separate
• oruk_transcribe_audio ~637 tokens
  Transcribe prerecorded English audio to text with time-ordered segments and word timings. Use this when only the words matter. Accepts wav/flac/mp3/m4a/ogg/webm. Up to 30 MB via audio_url or 8 MiB decoded via audio_base64; up to 60 minutes of English speech. Does not score emotion or tone — use oruk

Browse

• Speech to text

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