Files
VoiceStudio/backend/mcp_server.py
T
debpalash e2f576f59e feat: MCP server + audio effects chain
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
2026-04-28 11:28:26 +05:30

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"""
OmniVoice MCP Server — expose voice synthesis as AI-agent tools.
Run standalone:
python -m backend.mcp_server # stdio transport (Claude Desktop)
python -m backend.mcp_server --sse # SSE transport (remote agents)
Tools exposed:
generate_speech — text → WAV audio (voice clone or design)
list_voices — enumerate saved voice profiles
list_languages — available TTS languages
list_personalities — voice personality presets
Resources exposed:
voice://{profile_id} — voice profile metadata
history://recent — last 20 generated audio items
"""
from __future__ import annotations
import argparse
import base64
import logging
import os
import sys
logger = logging.getLogger("omnivoice.mcp")
# ── Lazy imports — keeps startup fast when not using MCP ────────────────
def _ensure_mcp():
"""Import `mcp` SDK lazily so the rest of the backend doesn't pay
for the import unless the MCP server is actually started."""
try:
from mcp.server.fastmcp import FastMCP # noqa: F811
return FastMCP
except ImportError:
print(
"MCP SDK not installed. Install with:\n"
" pip install 'mcp[cli]'\n"
"Then re-run this module.",
file=sys.stderr,
)
sys.exit(1)
def create_mcp_server():
"""Build and return the FastMCP server instance."""
FastMCP = _ensure_mcp()
mcp = FastMCP(
"OmniVoice Studio",
version="0.3.0",
description=(
"AI-agent interface for OmniVoice Studio — voice cloning, "
"voice design, and video dubbing in 646 languages."
),
)
# ── Helpers ─────────────────────────────────────────────────────────
def _api_base() -> str:
return os.environ.get("OMNIVOICE_API_URL", "http://localhost:3900")
async def _api_get(path: str):
import httpx
async with httpx.AsyncClient(base_url=_api_base(), timeout=30) as c:
r = await c.get(path)
r.raise_for_status()
return r.json()
async def _api_post_form(path: str, data: dict, files: dict | None = None):
import httpx
async with httpx.AsyncClient(base_url=_api_base(), timeout=120) as c:
r = await c.post(path, data=data, files=files or {})
r.raise_for_status()
return r
# ── Tools ───────────────────────────────────────────────────────────
@mcp.tool()
async def generate_speech(
text: str,
language: str = "Auto",
profile_id: str | None = None,
instruct: str | None = None,
speed: float = 1.0,
steps: int = 16,
) -> str:
"""Generate speech audio from text.
Args:
text: The text to synthesize into speech.
language: Target language (ISO code or 'Auto'). 646 languages supported.
profile_id: ID of a saved voice profile to clone. Omit for voice design mode.
instruct: Style instruction (e.g. 'whisper', 'excited', 'narrator').
speed: Speech speed multiplier (0.52.0, default 1.0).
steps: Diffusion steps (8=fast/draft, 16=balanced, 32=quality).
Returns:
JSON with audio_id, generation_time, audio_duration, and
base64-encoded WAV data.
"""
form = {
"text": text,
"language": language,
"speed": str(speed),
"num_step": str(steps),
}
if profile_id:
form["profile_id"] = profile_id
if instruct:
form["instruct"] = instruct
r = await _api_post_form("/generate", data=form)
audio_id = r.headers.get("X-Audio-Id", "unknown")
gen_time = r.headers.get("X-Gen-Time", "?")
duration = r.headers.get("X-Audio-Duration", "?")
wav_b64 = base64.b64encode(r.content).decode("ascii")
return (
f'{{"audio_id":"{audio_id}",'
f'"generation_time_s":{gen_time},'
f'"audio_duration_s":{duration},'
f'"format":"wav",'
f'"wav_base64":"{wav_b64}"}}'
)
@mcp.tool()
async def list_voices() -> str:
"""List all saved voice profiles.
Returns a JSON array of voice profiles with id, name, type (clone/design),
and personality.
"""
profiles = await _api_get("/profiles")
return str(profiles)
@mcp.tool()
async def list_personalities() -> str:
"""List available voice personality presets.
Returns presets like Narrator, Casual, News Anchor, etc. with their
instruct text. Use the instruct text with generate_speech.
"""
presets = await _api_get("/personalities")
return str(presets)
@mcp.tool()
async def list_languages() -> str:
"""List a sample of supported TTS languages.
OmniVoice supports 646 languages. This returns the most popular ones
plus a note about the full count.
"""
return (
'{"total":646,"popular":['
'"en","es","fr","de","it","pt","ru","ja","ko","zh",'
'"ar","hi","tr","nl","pl","sv","da","fi","no","el"'
'],"note":"Pass any ISO 639 code or set language=Auto for detection."}'
)
@mcp.tool()
async def check_health() -> str:
"""Check if the OmniVoice backend is running and what GPU device is active."""
info = await _api_get("/health")
return str(info)
# ── Resources ───────────────────────────────────────────────────────
@mcp.resource("voice://{profile_id}")
async def get_voice(profile_id: str) -> str:
"""Get details of a specific voice profile."""
profiles = await _api_get("/profiles")
for p in profiles:
if p.get("id") == profile_id:
return str(p)
return f'{{"error":"Voice profile {profile_id} not found"}}'
@mcp.resource("history://recent")
async def get_recent_history() -> str:
"""Get the 20 most recent generation history items."""
history = await _api_get("/history")
return str(history[:20])
return mcp
# ── CLI entrypoint ──────────────────────────────────────────────────────
def main():
parser = argparse.ArgumentParser(description="OmniVoice MCP Server")
parser.add_argument(
"--sse", action="store_true",
help="Use SSE transport instead of stdio (for remote agents)",
)
parser.add_argument(
"--port", type=int, default=8765,
help="Port for SSE transport (default: 8765)",
)
args = parser.parse_args()
mcp = create_mcp_server()
if args.sse:
logger.info("Starting MCP server on SSE transport, port %d", args.port)
mcp.run(transport="sse", port=args.port)
else:
logger.info("Starting MCP server on stdio transport")
mcp.run(transport="stdio")
if __name__ == "__main__":
main()