nabaztag-mcp

nabaztag-mcp

MCP server for controlling a Nabaztag rabbit's ears, LEDs, and voice pipeline, enabling AI tool-use via Claude Desktop/Code.

Category
Visit Server

README

nabaztag-ai 🐰

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.

Hardware BOM

Item Role ~Price
Nabaztag:tag (V2), stock Body: speaker, ears, LEDs, RFID, button ~€70 (second-hand)
reSpeaker Flex XVF3800 Circular-4 Ears-in: 4-mic array, beamforming, DoA ~€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) ~€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 rabbit

With 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 ◄─Violet proto─► OpenJabNab (self-hosted) ◄─REST─► rabbit-brain
   stock, WPA-TKIP segment         on the Bolt                wake→VAD→STT→Claude(tools)→TTS
                                                                    β”‚
reSpeaker XVF3800 ──USB audio + DoA──────────────────────► BodyController (arbiter)
                                                                    β–²
                                                     nabaztag-mcp β”€β”€β”˜ β†’ Claude Desktop/Code

All 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.

Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

Official
Featured
Local
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
graphlit-mcp-server

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official
Featured
TypeScript
Kagi MCP Server

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official
Featured
Python
E2B

E2B

Using MCP to run code via e2b.

Official
Featured
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
Exa Search

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official
Featured
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured