Question 1

What is the MCP Arduino Server?

Accepted Answer

The MCP Arduino Server is a bridge that allows AI models to interact with Arduino hardware and software using the Model Context Protocol (MCP).

Question 2

What are the requirements for using the MCP Arduino Server?

Accepted Answer

You need Python 3.10+, arduino-cli in your PATH, the MCP SDK, and optionally WireViz and an OpenAI API key.

Question 3

How do I install the MCP Arduino Server?

Accepted Answer

You can install it from PyPI using `pip install mcp-arduino-server` or from source by cloning the GitHub repository and running `pip install .`.

Question 4

What environment variables can I configure?

Accepted Answer

You can configure `ARDUINO_CLI_PATH`, `WIREVIZ_PATH`, `MCP_SKETCH_DIR`, `LOG_LEVEL`, `OPENAI_API_KEY`, and `OPENROUTER_API_KEY`.

Question 5

How do I use the AI-powered WireViz diagrams?

Accepted Answer

You need to set the `OPENAI_API_KEY` environment variable and then use the `generate_circuit_diagram_from_description` method.

Question 6

How do I integrate the MCP Arduino Server with MCP clients like Claude Desktop?

Accepted Answer

You need to configure your client with the server's command, arguments, and environment settings, including the path to the server and your OpenAI API key.

Question 7

What is the UBOS Platform?

Accepted Answer

UBOS is a full-stack AI Agent Development Platform that helps businesses orchestrate AI Agents, connect them with enterprise data, and build custom AI Agents with their own LLM models. It can be used in conjunction with the MCP Arduino Server.

Question 8

How can I troubleshoot issues with the MCP Arduino Server?

Accepted Answer

You can set `LOG_LEVEL=DEBUG` for verbose logs, verify file and serial port permissions, install missing Arduino cores, and run `arduino-cli` commands manually to debug.

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