# oruk Speech (remote · oruk.ai)

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

- Trust score: 74/100 (medium)
- Registry status: active
- Liveness: live
- Owner verified: no
- Last scored: 2026-08-15

## Components

- remote · `oruk.ai`: 74/100 (this document), [markdown](https://verifymcp.io/servers/ai-oruk-speech/oruk.md), [page](https://verifymcp.io/servers/ai-oruk-speech/oruk)

## Channel facts

- Endpoint: `https://oruk.ai/mcp`
- Transports: `streamable-http`
- Auth: `none`
- Version: `1.0.0`

## Trust breakdown

How this component scores in each security and reliability category. Every signal is checked automatically against the live server, and we only credit what we can confirm. Scores are 0–100 per category. Scoring method: https://verifymcp.io/docs/scoring (what has changed: https://verifymcp.io/docs/scoring/changelog)

Scored 2026-08-15.

- **Endpoint Security**: 80/100
  - The endpoint's TLS certificate is valid, in date, and uses a strong key.
  - No authorisation is required to call this server. Every tool declares its destructiveHint and none is destructive, so open access doesn't expose one.
  - HTTPS is enforced; there's no plaintext access path.
  - The HSTS (Strict-Transport-Security) header is present.
  - DNSSEC check failed: this domain isn't protected by DNSSEC.
- **Transport & Reachability**: 100/100
  - Verified streamable-http transport via a live MCP handshake.
- **Schema Quality & AI Usability**: 70/100
  - AI-judged instruction clarity (excellent).
  - Context-footprint check failed: tool/resource definitions use about 1603 tokens (~229/item across 7 items; 7 tools + 0 resources), over budget; trim descriptions and params.
  - Usage-examples check failed: none of the tools include examples.
- **Stability & Change Management**: 20/100
  - Stability observed for 6 of 30 days with no destabilising changes; credit accrues until the full window elapses.
- **Tool Coverage**: 100/100
  - 100% of tools have a non-trivial description (not blank, and not just the tool's name).
  - 100% of tool parameters carry a description.
- **Capabilities**: 100/100
  - Implements a supported MCP spec version (2025-11-25); the latest is 2026-07-28.

## Install

### Claude

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

### Codex

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

### opencode

```json
{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "ai-oruk-speech": {
      "type": "remote",
      "url": "https://oruk.ai/mcp",
      "enabled": true
    }
  }
}
```

### OpenClaw

```bash
openclaw mcp add ai-oruk-speech --url https://oruk.ai/mcp --transport streamable-http
```

### Hermes

```yaml
mcp_servers:
  ai-oruk-speech:
    url: "https://oruk.ai/mcp"
```

### Other

```json
{
  "mcpServers": {
    "ai-oruk-speech": {
      "type": "http",
      "url": "https://oruk.ai/mcp"
    }
  }
}
```

The mcpServers block is a cross-client convention. Remote transports vary, so check your client's docs.

## Changelog

Every change recorded for this component, newest first. Days that predate change tracking, or that we cannot explain, say so: "we were watching and nothing happened" and "we were not watching" are different claims.

### 2026-08-14 (score 74, +1)

No change was recorded against any check on this day. Stability & Change Management went from 13 to 17. That category is still filling its 30-day observation window: 4 days of observed history at the previous scan, 5 at this one. The score rises as the window fills, whether or not the server changes.

### 2026-08-12 (score 73, +1)

No change was recorded against any check on this day. Stability & Change Management went from 7 to 10. That category is still filling its 30-day observation window: 2 days of observed history at the previous scan, 3 at this one. The score rises as the window fills, whether or not the server changes.

### 2026-08-11 (score 72, +2)

- [functional] We updated how we score, so this day's move reflects our rubric, not a change to the server

### 2026-08-10 (score 70, 0)

- [functional improvement] Stability: unverified → 0.03

### 2026-08-09 (score 70)

First indexed and scored.

## MCP tools (7)

### `oruk_analyze_speech` (~346 tokens)

Analyze speech (transcript + tone)

Transcribe English audio AND score how it was said in one call: transcript, tagged transcript, calibrated emotion (15 labels) and speaking-style (16 labels) scores, and time-local segments. Use this when the user cares about both the words and the delivery — meetings, support calls, interviews, voice notes. Accepts a public audio URL or base64 bytes (wav/flac/mp3/m4a/ogg/webm, ≤30 MB / ≤60 min). Returns compact summaries by default. For words only use oruk_transcribe_audio; for tone only use oruk_analyze_tone.

Input parameters:

- `api_key` (string): Only for temporary keys from oruk_create_trial_key. Permanent keys belong in your MCP client config as an "Authorization: Bearer <key>" header, never in tool arguments.
- `audio_base64` (string): Base64-encoded audio bytes for local files (up to 8 MB decoded). Prefer audio_url for anything larger.
- `audio_url` (string): Publicly fetchable audio file URL (wav, flac, mp3, m4a, ogg, webm; up to 30 MB / 60 minutes of English speech).
- `detail` (string): compact (default) returns top label scores and condensed segments; full adds every label score and word-level timings.
- `filename` (string): Original filename including extension (e.g. call.wav). Helps decoding when audio_base64 is used.
- `model` (string): oruk-resonance (default for transcription/analysis, highest accuracy) or oruk-spectra-1 (default for tone, most efficient).

### `oruk_transcribe_audio` (~310 tokens)

Transcribe audio

Transcribe prerecorded English audio to text with time-ordered segments and word timings. Use this when only the words matter. Accepts a public audio URL or base64 bytes (wav/flac/mp3/m4a/ogg/webm, ≤30 MB / ≤60 min). Does not score emotion or tone — use oruk_analyze_speech for transcript + tone together, or oruk_analyze_tone for tone alone.

Input parameters:

- `api_key` (string): Only for temporary keys from oruk_create_trial_key. Permanent keys belong in your MCP client config as an "Authorization: Bearer <key>" header, never in tool arguments.
- `audio_base64` (string): Base64-encoded audio bytes for local files (up to 8 MB decoded). Prefer audio_url for anything larger.
- `audio_url` (string): Publicly fetchable audio file URL (wav, flac, mp3, m4a, ogg, webm; up to 30 MB / 60 minutes of English speech).
- `detail` (string): compact (default) returns top label scores and condensed segments; full adds every label score and word-level timings.
- `filename` (string): Original filename including extension (e.g. call.wav). Helps decoding when audio_base64 is used.
- `model` (string): oruk-resonance (default for transcription/analysis, highest accuracy) or oruk-spectra-1 (default for tone, most efficient).

### `oruk_analyze_tone` (~337 tokens)

Analyze vocal tone and emotion

Score how speech sounds without transcribing it: calibrated multilabel emotion (happy, frustrated, worried, …) and speaking-style (sarcastic, confident, hesitant, warm, …) predictions per acoustic segment. Use this when the user asks about mood, delivery, sentiment, sarcasm, or emotional dynamics in audio. Accepts a public audio URL or base64 bytes (≤30 MB / ≤60 min, English). Outputs are calibrated acoustic annotations of delivery, not claims about inner state. Need the words too? Use oruk_analyze_speech.

Input parameters:

- `api_key` (string): Only for temporary keys from oruk_create_trial_key. Permanent keys belong in your MCP client config as an "Authorization: Bearer <key>" header, never in tool arguments.
- `audio_base64` (string): Base64-encoded audio bytes for local files (up to 8 MB decoded). Prefer audio_url for anything larger.
- `audio_url` (string): Publicly fetchable audio file URL (wav, flac, mp3, m4a, ogg, webm; up to 30 MB / 60 minutes of English speech).
- `detail` (string): compact (default) returns top label scores and condensed segments; full adds every label score and word-level timings.
- `filename` (string): Original filename including extension (e.g. call.wav). Helps decoding when audio_base64 is used.
- `model` (string): oruk-resonance (default for transcription/analysis, highest accuracy) or oruk-spectra-1 (default for tone, most efficient).

### `oruk_check_credits` (~111 tokens)

Check API key, credits, and usage

Verify that an oruk API key works and report the organization’s plan, remaining credit balance, and recent API usage. Use this as the first call after setup ("check my oruk credits"), or when a billing/auth error needs diagnosing. Requires a key: the Authorization header from your MCP config, or a trial key passed as api_key.

Input parameters:

- `api_key` (string): Only for temporary keys from oruk_create_trial_key. Permanent keys belong in the Authorization header of your MCP client config.

### `oruk_create_trial_key` (~97 tokens)

Create a free trial API key

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 of the audio tools. Share the signup link with the user so they can keep using oruk afterwards ($50 trial credit).

### `oruk_list_models` (~73 tokens)

List models, pricing, and labels

List oruk’s speech models with lifecycle and per-task pricing (USD per audio minute), 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.

### `oruk_get_started` (~80 tokens)

Get started with oruk

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 user asks how oruk works.

## Diagnostics

Captured diagnostic sections: TLS, DNSSEC, Authorisation, Transports. The full working is on the page: https://verifymcp.io/servers/ai-oruk-speech/oruk#diagnostics

## Score history

- 2026-08-15: 74
- 2026-08-14: 74
- 2026-08-13: 73
- 2026-08-12: 73
- 2026-08-11: 72
- 2026-08-10: 70
- 2026-08-09: 70

## Links

- Remote endpoint: https://oruk.ai/mcp
- Website: https://oruk.ai/docs/mcp
- Changelog RSS feed: https://verifymcp.io/servers/ai-oruk-speech/oruk.xml
- Changelog JSON feed: https://verifymcp.io/servers/ai-oruk-speech/oruk.json
- HTML version of this page: https://verifymcp.io/servers/ai-oruk-speech/oruk