No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by navado · MCP Server · ★ 58
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is ESP32MCPServer safe to install? View the security audit →
ESP32 MCP Server A Model Context Protocol (MCP) server running on ESP32 (and Nordic nRF52840 in sensor-only mode), exposing real-world sensor data and bus protocols to AI assistants and automation tooling over WebSocket / JSON-RPC 2.0. Connect an AI agent directly to your hardware: query I2C sensors, parse NMEA 0183 GPS/marine data, decode NMEA 2000 and OBD-II CAN frames, replay bus history — all through a standard MCP interface. Features mDNS () + UDP capa
| Stars | 58 |
| Forks | 18 |
| Language | C++ |
| Category | MCP Server |
| License | MIT |
| Quality Score | 64.6786136244963/100 |
| Open Issues | 1 |
| Last Updated | 2026-03-08 |
| Created | 2025-01-17 |
| Platforms | browser, mcp |
| Est. Tokens | ~130k |
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ESP32MCPServer is Allow AI models connect to ESP32 and read connected sensors NMEA2k, ODB/ODBII, NMEA0183. AI generated MCP server.. It is categorized as a MCP Server with 58 GitHub stars.
ESP32MCPServer is primarily written in C++. It covers topics such as ai, can-bus, esp32.
You can find installation instructions and usage details in the ESP32MCPServer GitHub repository at github.com/navado/ESP32MCPServer. The project has 58 stars and 18 forks, indicating an active community.
ESP32MCPServer is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to ESP32MCPServer on Agent Skills Hub include esp-mcp, AgentDeck, m5-paper-buddy. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.
The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.
Sources & who's responsible: