Kurdvoice

kurdvoice

Kurdish is spoken in two major written dialects — Sorani and Kurmanji — and good speech tooling for either is hard to find. kurdvoice is a small local bridge to the hosted KurdishTTS MCP service: you can turn Sorani or Kurmanji text into spoken audio, transcribe Kurdish audio back into text, open a live transcription session for a microphone stream, browse the voice catalogue, and check what your plan allows.

Nothing is synthesized or transcribed on your own machine. This package answers tools/list locally from the captured tool definitions and forwards every tools/call to the hosted service over a streamable-HTTP JSON-RPC session, returning whatever the service sends back unchanged.

The tools

The dialect, voice and plan tools are free metadata reads that need no API key. Synthesis and transcription are metered against your own plan allowance — characters for speech, audio minutes for transcription, one session for a live stream — exactly as the upstream service meters them. No tool buys anything, tops up credit, checks out, or creates an API key.

• `list_dialects` — The supported Kurdish dialects and their scripts. A static capability descriptor: it costs nothing and needs no key.
• `list_voices` — The text-to-speech voice catalogue, filterable by dialect and gender and paged with limit/offset. Voice catalogues are versioned (v3 is the default compatibility catalogue, v4 the large one, v5 the curated one with Cast and Studio voices), and a speaker id only exists inside the catalogue it came from — call this with the same model_version you will pass to synthesize_speech.
• `get_plan` — What this connection may use. With an API key it reports your current plan, remaining allowance and which catalogues and voices you may render; without a key it returns the purchasable plan ladder and how to get a key. It is the fastest first call when another tool answers 401 or 403.
• `synthesize_speech` — Turns Kurdish text into one complete audio clip, base64-encoded in the result, in mp3 (default), opus or wav. Needs a TTS API key; characters are billed against your plan. Up to 4000 characters per call (600 with wav, and free plans are capped at 500 server-side). speed runs from 0.25 to 4, and include_timestamps returns word-level timestamps instead of an audio block. The dialect is normally inferred from the speaker id; pass it explicitly for Cast or Studio voices reading Kurmanji.
• `transcribe_audio` — Transcribes base64-encoded audio (WAV, MP3, FLAC, OGG or M4A, up to 3 MB decoded) to text, metered per audio minute against your plan. The dialect argument selects the decoder and nothing detects it for you: transcribing Sorani audio as Kurmanji returns fluent, confident, wrong text. Pass "auto" when unsure — it transcribes with both decoders and returns both transcripts, billing the audio twice.
• `start_streaming_transcription` — Opens a live speech-to-text session for listening — a microphone or audio stream transcribed in real time. It returns a websocket_url to stream PCM16 mono 16 kHz audio chunks into. Calling it immediately consumes one streaming session from your plan quota, so call it only when you are ready to connect.

Install and run

As an MCP server via npm:

npx -y @reneturcios/kurdvoice mcp

MCP client configuration:

{

"mcpServers": { "kurdvoice": { "command": "npx", "args": ["-y", "@reneturcios/kurdvoice", "mcp"] } } }

As a container:

docker run -i ghcr.io/cloudcorprecords/kurdvoice

docker run --rm ghcr.io/cloudcorprecords/kurdvoice synthesize_speech '{"text":"Slaw","speaker_id":"sorani_85"}'

CLI

One binary serves both the command line and the MCP server. Each tool is a subcommand taking a single JSON string with that tool's arguments:

kurdvoice list_dialects '{}'

kurdvoice list_voices '{"model_version":"v4","dialect":"sorani","limit":50}' kurdvoice get_plan '{}' kurdvoice synthesize_speech '{"text":"Slaw","speaker_id":"sorani_85"}' kurdvoice transcribe_audio '{"audio_base64":"UklGRg==","dialect":"auto"}' kurdvoice start_streaming_transcription '{"dialect":"kurmanji"}' kurdvoice --version

Exit codes: 0 when the forwarded call succeeds, 1 when the upstream result is an error, and 2 for usage problems such as an unknown subcommand or a malformed JSON argument.

Configuration

• KURDISHTTS_MCP_URL — Overrides the upstream endpoint. The default is the pinned hosted endpoint, https://www.kurdishtts.com/api/mcp. (The override variable is a reconstruction added by this rebuild.)
• KURDISHTTS_API_KEY — When set, its value is sent to the upstream on every request as an Authorization: Bearer header. When it is not set, no key header is sent at all, matching the keyless behaviour the tool surface was captured with. (The service's registry record declares a secret Authorization header on its remote; the variable name and the Bearer form are reconstructions added by this rebuild.)

Upstream failures — a JSON-RPC error from the service, a non-2xx response, an unreadable body, or a request that fails outright — are reported to the caller as an error result whose text starts with kurdvoice error:.

How forwarding works

The first forwarded call opens a session: an initialize request (protocol version 2025-03-26), followed by a notifications/initialized notification, then the tools/call itself. If the service answers the initialize request with an Mcp-Session-Id header, that value is carried on every later request, and the open session is reused for the rest of the process. Replies are accepted either as plain JSON or as server-sent events. Successful results pass through verbatim, including any isError flag and any extra fields the service includes.

Development

npm install

npm run build # tsc -> dist/ (dist/cli.js is the bin) npm test # tsx --test test/*.test.ts — stubbed upstream, no network npm run dev # run the CLI from source

The test suite checks the served tool list against the captured surface tool by tool, exercises the session handshake and its reuse, covers both key-header branches, and verifies that arguments go upstream untouched and results come back untouched.

License

MIT — see LICENSE. Copyright (c) 2026 Rene Turcios.