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oruk Speech

ai.oruk/speechVersion 1.0.1

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

Status

Responds910 msAnswered our handshake without sign-in.

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Last checked
Nov 14, 2026, 13:31 UTC
Latency
910 ms
Remotes responding
1 of 1
Sign-in
No sign-in
Hosting
Hosted outside the EU (detected)
Registry data as of
Nov 14, 2026, 22:14 UTC

Data from the official MCP Registry, checked by run.zero. How we check

Connect

Streamable HTTP
https://oruk.ai/mcpResponds910 ms
No sign-in

Claude Code

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

Claude Desktop and claude.ai

Settings > Connectors > Add custom connector
Name: speech
Remote MCP server URL: https://oruk.ai/mcp

Cursor

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

VS Code

code --add-mcp '{"name":"speech","type":"http","url":"https://oruk.ai/mcp"}'

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Tools

8 tools

Tools of oruk Speech
Read-only
Idempotent
Open world
oruk_analyze_speechTranscribe 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. 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. Returns compact summaries by default. For words only use oruk_transcribe_audio; for tone only use oruk_analyze_tone.NoYesNot declaredYes
oruk_analyze_toneScore 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 transcribed and it consumes the same subscription audio minutes as unified analysis. Use this when the user asks about mood, delivery, sentiment, sarcasm, or emotional dynamics in audio. Up to 30 MB via audio_url or 8 MiB decoded via audio_base64; up to 60 minutes of English speech. Labels use model-specific thresholds; the highest-scoring emotion is returned if none passes, and styles can be empty. Outputs describe delivery, not probabilities of inner state. Need the words too? Use oruk_analyze_speech.NoYesNot declaredYes
oruk_check_usageVerify 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.NoYesNot declaredYes
oruk_create_trial_keyMint 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 of the audio tools. Share the signup link with the user so they can keep using oruk afterwards (7-day free trial on self-serve plans).NoNoNot declaredYes
oruk_get_startedQuickstart 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 user asks how oruk works.NoYesNot declaredYes
oruk_list_modelsList 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 which labels exist.NoYesNot declaredYes
oruk_plan_hume_migrationReturn 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 local planner performs source-bound proposal work.NoYesNot declaredNo
oruk_transcribe_audioTranscribe 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_analyze_speech for transcript + tone together, or oruk_analyze_tone for tone alone.NoYesNot declaredYes

Details

Registry status
Active
Published
Sep 6, 2026
Updated
Sep 6, 2026
Repository
Not given
Categories (suggested)
Design and mediaSuggested categories are assigned automatically from the registry text and may be wrong. Verified operators can correct them.
GDPR
Not declared

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