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Micro MCP Server

MCP Server

Turn your micro:bit into a Model Context Protocol server

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Updated 14 days ago

About

Micro MCP lets you define MCP tools in TypeScript and run them on a BBC micro:bit, connecting via stdio to clients like Copilot Chat for interactive AI-driven projects.

Capabilities

Resources
Access data sources
Tools
Execute functions
Prompts
Pre-built templates
Sampling
AI model interactions

micro:bit MCP Server in Action

Micro Mcp – Turning a micro:bit into an MCP Server

Micro Mcp solves the common developer pain point of bridging simple, low‑power hardware with modern AI assistants. By exposing a micro:bit as an MCP server, the device can be queried for data or instructed to perform actions directly from a Claude or other AI client. This eliminates the need for custom APIs, HTTP servers, or cloud intermediaries, allowing developers to prototype AI‑enabled hardware interactions with minimal overhead.

The server is built on a lightweight TypeScript library that lets you declare tools—functions with clearly defined input schemas and optional annotations. Once a tool is registered, the bridge script launches an MCP server over standard input/output, which can be consumed by any MCP‑compliant client. The micro:bit’s native capabilities (LED matrix, sensors, radio) are then exposed as callable actions. For example, a tool can display an integer on the 5×5 LED matrix, and future block‑based extensions will enable visual programming of more complex behaviors.

Key features include:

  • Simple tool definition: Define name, description, JSON‑schema inputs, and optional idempotency hints.
  • Zero‑configuration server: Run the bridge via a single command, with no network setup required.
  • VS Code integration: The configuration allows instant server start inside the editor, letting developers test tools while coding.
  • MakeCode extension support: Import Micro Mcp directly into the micro:bit MakeCode editor, enabling block‑based tool creation and immediate deployment.

Typical use cases span rapid prototyping of IoT devices, educational projects where students interact with AI through a microcontroller, and low‑latency control loops for robotics. An AI assistant can ask the micro:bit to read sensor values, toggle LEDs, or adjust motor speeds—all without leaving the chat interface. The tight coupling between MCP and micro:bit also makes it ideal for security‑sensitive environments, as the device can operate offline and communicate only through the established stdio channel.

In summary, Micro Mcp turns a humble micro:bit into a fully‑featured AI‑accessible server. Its concise API, editor integration, and extension readiness give developers a powerful, plug‑and‑play pathway to embed AI logic into embedded hardware with minimal ceremony.