# Serial

> Use this tool when you need to bridge the gap between AI Large Language Models and physical hardware devices through serial communication, enabling control and interaction with real-world electronics in IoT projects, robotics, and other applications. It solves problems of device connectivity and control, providing a flexible interface for AI models to send and receive data through serial ports. With features like automatic port detection and real-time status monitoring, MCP2Serial is ideal for use cases where AI-driven control of serial-connected devices is required.

Canonical page: https://skillsregistry.net/skills/mcp2serial  
JSON: https://api.skillsregistry.net/v1/skills/mcp2serial

## Description

MCP2Serial provides a bridge between AI Large Language Models and physical hardware devices through serial communication. Developed by the MCP2Serial Contributors, it enables AI models to interact with and control real-world electronics using the Model Context Protocol (MCP). The implementation features automatic port detection, multiple baud rate support, and real-time status monitoring. It integrates seamlessly with MCP clients like Claude Desktop and Cline, offering a flexible prompt system and resource management capabilities. MCP2Serial is particularly useful for IoT projects, robotics applications, and any scenario where AI-driven control of serial-connected devices is desired.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** iot-hardware
- **Updated:** 2026-04-29

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/mcp2serial)
- **Repository:** <https://github.com/mcp2everything/mcp2serial>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "mcp2serial"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/mcp2serial` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/mcp2serial/pull`

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