# ESP32MCPServer

> ESP32MCPServer — navado-esp32mcpserver. Use this tool when you need to connect AI models to ESP32 microcontrollers and read data from connected sensors using protocols like NMEA2k, ODB/ODBII, and NMEA0183. It solves problems related to IoT data collection and integration with AI systems, providing a seamless interface for data exchange. The ESP32MCPServer takes sensor data as input and outputs formatted data for AI model consumption, ideal for use cases involving real-time sensor monitoring and automation.

Canonical page: https://skillsregistry.net/skills/navado-esp32mcpserver  
JSON: https://api.skillsregistry.net/v1/skills/navado-esp32mcpserver

## Description

Allow AI models connect to ESP32 and read connected sensors NMEA2k, ODB/ODBII, NMEA0183. AI generated MCP server.

## Trust

- **Trust score (0–1):** 0.97
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/navado/ESP32MCPServer)

## 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": "navado-esp32mcpserver"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/navado-esp32mcpserver` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/navado-esp32mcpserver/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt