MCP Server:
- Full Model Context Protocol server (backend/mcp_server.py)
- 5 tools: generate_speech, list_voices, list_personalities,
list_languages, check_health
- 2 resources: voice://{id}, history://recent
- stdio + SSE transports for Claude Desktop / Cursor / remote agents
- Example config: mcp.json
Audio Effects Chain:
- 6 presets: Broadcast, Cinematic, Podcast, Warm, Bright, Raw
- Configurable pipeline via apply_effects_chain() with pedalboard
- Effects: highpass, lowpass, compressor, reverb, noise_gate, eq, limiter
- GET /tools/effects API for frontend preset picker
- Graceful fallback when pedalboard isn't installed
216 lines
7.3 KiB
Python
216 lines
7.3 KiB
Python
"""
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OmniVoice MCP Server — expose voice synthesis as AI-agent tools.
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Run standalone:
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python -m backend.mcp_server # stdio transport (Claude Desktop)
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python -m backend.mcp_server --sse # SSE transport (remote agents)
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Tools exposed:
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generate_speech — text → WAV audio (voice clone or design)
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list_voices — enumerate saved voice profiles
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list_languages — available TTS languages
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list_personalities — voice personality presets
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Resources exposed:
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voice://{profile_id} — voice profile metadata
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history://recent — last 20 generated audio items
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"""
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from __future__ import annotations
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import argparse
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import base64
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import logging
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import os
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import sys
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logger = logging.getLogger("omnivoice.mcp")
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# ── Lazy imports — keeps startup fast when not using MCP ────────────────
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def _ensure_mcp():
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"""Import `mcp` SDK lazily so the rest of the backend doesn't pay
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for the import unless the MCP server is actually started."""
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try:
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from mcp.server.fastmcp import FastMCP # noqa: F811
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return FastMCP
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except ImportError:
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print(
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"MCP SDK not installed. Install with:\n"
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" pip install 'mcp[cli]'\n"
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"Then re-run this module.",
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file=sys.stderr,
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)
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sys.exit(1)
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def create_mcp_server():
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"""Build and return the FastMCP server instance."""
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FastMCP = _ensure_mcp()
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mcp = FastMCP(
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"OmniVoice Studio",
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version="0.3.0",
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description=(
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"AI-agent interface for OmniVoice Studio — voice cloning, "
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"voice design, and video dubbing in 646 languages."
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),
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)
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# ── Helpers ─────────────────────────────────────────────────────────
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def _api_base() -> str:
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return os.environ.get("OMNIVOICE_API_URL", "http://localhost:3900")
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async def _api_get(path: str):
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import httpx
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async with httpx.AsyncClient(base_url=_api_base(), timeout=30) as c:
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r = await c.get(path)
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r.raise_for_status()
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return r.json()
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async def _api_post_form(path: str, data: dict, files: dict | None = None):
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import httpx
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async with httpx.AsyncClient(base_url=_api_base(), timeout=120) as c:
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r = await c.post(path, data=data, files=files or {})
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r.raise_for_status()
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return r
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# ── Tools ───────────────────────────────────────────────────────────
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@mcp.tool()
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async def generate_speech(
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text: str,
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language: str = "Auto",
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profile_id: str | None = None,
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instruct: str | None = None,
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speed: float = 1.0,
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steps: int = 16,
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) -> str:
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"""Generate speech audio from text.
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Args:
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text: The text to synthesize into speech.
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language: Target language (ISO code or 'Auto'). 646 languages supported.
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profile_id: ID of a saved voice profile to clone. Omit for voice design mode.
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instruct: Style instruction (e.g. 'whisper', 'excited', 'narrator').
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speed: Speech speed multiplier (0.5–2.0, default 1.0).
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steps: Diffusion steps (8=fast/draft, 16=balanced, 32=quality).
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Returns:
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JSON with audio_id, generation_time, audio_duration, and
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base64-encoded WAV data.
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"""
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form = {
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"text": text,
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"language": language,
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"speed": str(speed),
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"num_step": str(steps),
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}
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if profile_id:
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form["profile_id"] = profile_id
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if instruct:
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form["instruct"] = instruct
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r = await _api_post_form("/generate", data=form)
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audio_id = r.headers.get("X-Audio-Id", "unknown")
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gen_time = r.headers.get("X-Gen-Time", "?")
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duration = r.headers.get("X-Audio-Duration", "?")
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wav_b64 = base64.b64encode(r.content).decode("ascii")
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return (
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f'{{"audio_id":"{audio_id}",'
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f'"generation_time_s":{gen_time},'
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f'"audio_duration_s":{duration},'
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f'"format":"wav",'
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f'"wav_base64":"{wav_b64}"}}'
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)
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@mcp.tool()
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async def list_voices() -> str:
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"""List all saved voice profiles.
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Returns a JSON array of voice profiles with id, name, type (clone/design),
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and personality.
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"""
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profiles = await _api_get("/profiles")
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return str(profiles)
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@mcp.tool()
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async def list_personalities() -> str:
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"""List available voice personality presets.
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Returns presets like Narrator, Casual, News Anchor, etc. with their
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instruct text. Use the instruct text with generate_speech.
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"""
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presets = await _api_get("/personalities")
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return str(presets)
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@mcp.tool()
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async def list_languages() -> str:
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"""List a sample of supported TTS languages.
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OmniVoice supports 646 languages. This returns the most popular ones
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plus a note about the full count.
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"""
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return (
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'{"total":646,"popular":['
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'"en","es","fr","de","it","pt","ru","ja","ko","zh",'
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'"ar","hi","tr","nl","pl","sv","da","fi","no","el"'
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'],"note":"Pass any ISO 639 code or set language=Auto for detection."}'
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)
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@mcp.tool()
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async def check_health() -> str:
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"""Check if the OmniVoice backend is running and what GPU device is active."""
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info = await _api_get("/health")
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return str(info)
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# ── Resources ───────────────────────────────────────────────────────
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@mcp.resource("voice://{profile_id}")
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async def get_voice(profile_id: str) -> str:
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"""Get details of a specific voice profile."""
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profiles = await _api_get("/profiles")
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for p in profiles:
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if p.get("id") == profile_id:
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return str(p)
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return f'{{"error":"Voice profile {profile_id} not found"}}'
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@mcp.resource("history://recent")
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async def get_recent_history() -> str:
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"""Get the 20 most recent generation history items."""
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history = await _api_get("/history")
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return str(history[:20])
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return mcp
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# ── CLI entrypoint ──────────────────────────────────────────────────────
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def main():
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parser = argparse.ArgumentParser(description="OmniVoice MCP Server")
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parser.add_argument(
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"--sse", action="store_true",
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help="Use SSE transport instead of stdio (for remote agents)",
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)
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parser.add_argument(
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"--port", type=int, default=8765,
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help="Port for SSE transport (default: 8765)",
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)
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args = parser.parse_args()
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mcp = create_mcp_server()
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if args.sse:
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logger.info("Starting MCP server on SSE transport, port %d", args.port)
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mcp.run(transport="sse", port=args.port)
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else:
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logger.info("Starting MCP server on stdio transport")
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mcp.run(transport="stdio")
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if __name__ == "__main__":
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main()
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