ESP32MCPServer and esp32-cam-ai

ESP32MCPServer
54
Established
esp32-cam-ai
33
Emerging
Maintenance 13/25
Adoption 7/25
Maturity 16/25
Community 18/25
Maintenance 6/25
Adoption 6/25
Maturity 9/25
Community 12/25
Stars: 36
Forks: 13
Downloads: —
Commits (30d): 0
Language: C++
License: MIT
Stars: 20
Forks: 3
Downloads: —
Commits (30d): 0
Language: C++
License: MIT
No Package No Dependents
No Package No Dependents

About ESP32MCPServer

navado/ESP32MCPServer

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

Implements an MCP server over WebSocket with JSON-RPC 2.0, exposing parsed protocol streams (NMEA 0183, NMEA 2000, OBD-II CAN frames) and I2C sensor readings through a resource-based interface with persistent ring-buffer history. Supports six I2C sensor types with auto-discovery, time-bounded serial/CAN reads in raw or parsed modes, and ring-buffer playback via LittleFS. Targets ESP32 variants (full WiFi+CAN) and nRF52840 boards (sensor-only mode), with mDNS discovery and automatic AP setup UI.

About esp32-cam-ai

rzeldent/esp32-cam-ai

A Model Context Protocol (MCP) server implementation for ESP32-CAM that enables integration with a Large Language Model (LLM). The LLM connects using this library to the ESP32-CAM offering remote camera control, LED management, and system monitoring through standardized MCP tools offering AI capabilities.

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