# Meet Jarvis: The Open-Source French Voice Assistant Powered by Ollama and MCP

> Source: <https://dev.to/hui_feng_f2247629b1d2be00/meet-jarvis-the-open-source-french-voice-assistant-powered-by-ollama-and-mcp-4ma>
> Published: 2026-10-10 01:49:15+00:00

`jarvis-assistant-vocal` delivers a production-ready, modular French voice assistant that runs entirely offline with local LLMs via Ollama, or connects to Claude for hybrid setups. By pairing native hardware tool execution with Model Context Protocol (MCP) server support, it cuts local automation complexity down to a single Python project. 

`llama3`, `mistral`, etc.) without rewriting logic.
Ensure you have Python 3.10+ and your local Ollama instance running:

```
# 1. Clone the repository
git clone https://github.com/sosoj92/jarvis-assistant-vocal.git
cd jarvis-assistant-vocal

# 2. Set up virtual environment & install dependencies
python -m venv venv
source venv/bin/activate  # On Windows: venv\Scripts\activate
pip install -r requirements.txt

# 3. Configure your environment
cp .env.example .env
# Edit .env to set your LLM backend (Ollama or Claude) and peripheral API keys

# 4. Launch Jarvis
python main.py
```

Most DIY AI voice agents are fragile toy scripts that break the moment you hook them into real home automation or telephony. `jarvis-assistant-vocal` addresses this by adopting standard tool paradigms like MCP and combining hardware control (Hue/OBS) with telephony (Twilio) in one modular repository. If you are a self-hoster, smart home enthusiast, or streamer looking to run a private, self-hosted voice operator in French, this repo provides an exceptionally mature starting template.

Building localized, private agents with small models? Follow **Local AI & Infra Daily** for the latest open-source breakthroughs, inference optimizations, and self-hosted infrastructure guides.