see · hear · speak · move
EBO Air 2 MCP Guide
@CRIMSONNOAH
Allows AI to see, hear, speak, and control EBO Air 2 to move in reality.
The EBO Air 2 MCP Guide is a field-proven community guide. It teaches you to connect MCP-enabled AI to EBO Air 2 and let the AI use the robot's camera, microphone, speakers and wheels.
Project address (can be copied to AI):https://github.com/crimsonnoah/ebo-air2-mcp-guide
PROJECT INTRO
Project introduction
EBO Air 2 MCP Guide records a set of connection solutions that have been run on the real EBO Air 2. Once deployed, Claude Code, Codex, and other MCP-enabled AI can view cameras, listen to sounds, speak through speakers, and control robot movement.
The repository also organizes photography, video recording, actions, expressions, voice recognition, voice playback, client settings and troubleshooting. It is a deployment and scaling guide, not a new chatbot.
- Suitable for:People who already own an EBO Air 2 and want to plug their own AI into a real robot body.
- can do:View the camera, listen to sounds, speak, move, take photos and videos, and perform actions and expressions.
- Use requires:Requires EBO Air 2, Linux x86_64 environment, Docker, and MCP-enabled AI client.
- Safety reminder:Cameras should be viewed before moving and tested on a flat, supervised surface away from stairs and edges.
COMMENTS & FEEDBACK
Comments and Feedback
People who have used this project can come back and tell newcomers: which platform it ran on, whether there were any pitfalls during the installation, and what the actual experience was like. The current version is in guest mode, and you do not need to register an account to leave a message.
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SOURCE & CREDIT
Atlas is responsible for the introduction and navigation, and the use still returns to the original author.
We do not mirror project files, nor do we intercept author traffic. For installation, download, version updates and the latest instructions, please refer to the project page provided by the original author.
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