LabscoMCP early access ↗
Sunwood-ai-labsMCP SERVER · OFFICIAL PROJECT

Agent VRM MCP Server

Gives an assistant a voice and a face — text is spoken by a 3D VRM avatar through AgentVRM, played back immediately and saved as a .wav.

by Sunwood-ai-labs ↗Speech Synthesis & Transcription✓ Official

LABSCO SUMMARY

Depends on an engine you start yourself.

The server is a bridge, not the synthesiser — AgentVRM has to be running before anything happens, and the README says so plainly with the endpoint it expects. What you get for that setup is more than text-to-speech: the avatar carries expressions and animation, and every generated line is written to disk as a .wav, so it can be reused in a video or a demo without another synthesis pass.

What it is

An MCP server that bridges a client to an AgentVRM engine. Text sent through it is synthesised into speech and performed by a VRM avatar with expressions and animation, rather than just being read aloud.

What you get

  • Speech from text, performed by the VRM avatar, with a required text argument and optional speaker_id, speed_scale and auto_play — speak_text
  • Automatic playback on generation, handled per platform: the default player on Windows, afplay on macOS, and aplay on Linux with a fallback to xdg-open
  • The generated audio kept as a .wav file in the assets folder, so a line can be reused rather than regenerated

Requirements

A running AgentVRM engine — it must be started manually, and the server connects to http://localhost:3001/api/speak_text by default, with --api-url to point elsewhere. Python 3.10 or higher. No install step with uv: run it straight through uvx as agent-vrm-mcp. The package is agent-vrm-mcp (version 0.1.0).

Setup effort

One command — uvx agent-vrm-mcp

See installation options