nabaztag-mcp
Planned integration to run fully local STT/TTS/LLM on Arduino VENTUNO Q board, enabling edge AI capabilities without cloud dependency.
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@nabaztag-mcpmove your ears up and down"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
nabaztag-ai π°
AI brain for the original Nabaztag rabbit β LLM tool-use embodiment, voice pipeline, MCP server. Physical AI, 2006 edition.
(demo GIF β coming with Phase 1)
What & why
In 2006 the Nabaztag:tag was the first consumer connected device β a Wi-Fi rabbit that read the news and wiggled its ears. Twenty years later, this project revives a stock, unopened Nabaztag:tag as the body of a modern AI assistant: wake word β speech-to-text β Claude with tool use β text-to-speech, played through the rabbit's own speaker, with the LLM deciding ear positions and LED moods itself.
The rabbit stays 100% original. It talks to a self-hosted OpenJabNab server; modern audio input comes from an external reSpeaker 4-mic array; the brain runs on a UDOO Bolt β a board co-created by the project's owner, closing a personal 20-year loop between the first connected device and modern edge AI.
Full spec: docs/ARCHITECTURE.md.
Related MCP server: mcp-connect
Hardware BOM
Item | Role | ~Price |
Nabaztag:tag (V2), stock | Body: speaker, ears, LEDs, RFID, button | ~β¬70 (second-hand) |
reSpeaker Flex XVF3800 Circular-4 | Ears-in: 4-mic array, beamforming, DoA | ~β¬50 |
UDOO Bolt (or any Linux PC/SBC) | Brain: OJN server, rabbit-brain, MCP | you probably have one |
USB Wi-Fi dongle (AP-mode capable) | Dedicated legacy WPA-TKIP AP (Β§4.1) | ~β¬10 |
Quickstart (no hardware needed)
git clone https://github.com/<you>/nabaztag-ai && cd nabaztag-ai
python -m venv .venv && source .venv/bin/activate
pip install -e "brain[dev]"
pytest # runs against the mock-OJN simulator
python -m rabbit_brain.body.demo --mock-ojn # drive a simulated rabbitWith real hardware, start from Gate S0 (the rabbit's legacy Wi-Fi segment β see docs/ARCHITECTURE.md Β§4.1 and ojn/).
Architecture
Nabaztag:tag ββViolet protoββΊ OpenJabNab (self-hosted) ββRESTββΊ rabbit-brain
stock, WPA-TKIP segment on the Bolt wakeβVADβSTTβClaude(tools)βTTS
β
reSpeaker XVF3800 ββUSB audio + DoAβββββββββββββββββββββββΊ BodyController (arbiter)
β²
nabaztag-mcp βββ β Claude Desktop/CodeAll body output funnels through the BodyController (single owner of the body, priority queue); bodies are swappable behind the BodyAdapter protocol.
Roadmap
v1 β Nabaztag:tag via OpenJabNab (this repo, phases S0 β 4)
P1 β
ReachyMiniAdapter: same brain, different body (comparison protocol)P2 β
VentunoQLocalProfile: fully local STT/TTS/LLM on Arduino VENTUNO Q
License
Apache-2.0 (root, covers brain/, mcp/, demos/, docs, configs). If Gate G0 ever requires the OpenJabNab choreography plugin, it will live in ojn/plugin_choreo/ under OpenJabNab's GPL (derivative work), cleanly separated β the brain talks to it only over HTTP.
Nabaztag is a trademark of its respective owner; this is an independent community project, not affiliated with Violet/Aldebaran.
This server cannot be installed
Maintenance
Resources
Unclaimed servers have limited discoverability.
Looking for Admin?
If you are the server author, to access and configure the admin panel.
Latest Blog Posts
- Your AI Chatbot Just Exposed Your CEO's Salary to an InternBy Om-Shree-0709 on .Agent IdentityMCP SecurityOAuth Delegation
- Why MCP Servers Need Execution Sandboxing (And Why Your Current Stack Isn't Enough)By Om-Shree-0709 on .Agentic AiPrompt InjectionWebAssembly
MCP directory API
We provide all the information about MCP servers via our MCP API.
curl -X GET 'https://glama.ai/api/mcp/v1/servers/maubau/nabaztag-ai'
If you have feedback or need assistance with the MCP directory API, please join our Discord server