Bracketbot FAQs

Question 1

What are the key features of Bracketbot?

Accepted Answer

Bracketbot features include simultaneous control of multiple robots, precise velocity control, access to robot camera images via MCP's Image class, a unified API with port specification for individual robot control, and the ability to retrieve robot status information.

Question 2

How do I access a robot's camera image?

Accepted Answer

Use the `get_camera_image` tool with the robot's port number. The image data is handled using MCP's native `Image` class, allowing AI agents to receive image data in a proper format without additional conversion needed.

Question 3

How do I use Bracketbot?

Accepted Answer

First, ensure you have running robot control FastAPI servers. The Claude desktop client now automatically runs the MCP server, so manual startup isn't needed. Use the provided API tools (e.g., `drive_forward`, `get_camera_image`) with the appropriate port to control specific robots.

Question 4

What is Bracketbot?

Accepted Answer

Bracketbot is a tool that allows AI agents to control multiple robots simultaneously through an MCP (Model Context Protocol) server. It provides a unified API to control robot movement, access camera images, and retrieve status information.

Question 5

What programming languages are supported by Bracketbot?

Accepted Answer

Bracketbot requires Python 3.10+ and the use of the UV package manager. The provided examples are in Python, and the API is designed to be accessible from Python-based AI agents.

Bracketbot

Bracketbot

Key Features

Use Cases

Key Features

Use Cases