pulsemcp scanned Safe content atomic mcp-remote

ESP32 AI Loop

ESP32 AI Loop is an MCP server that automates the ESP32 firmware development cycle, enabling AI assistants to compile, flash, and observe device output without human intervention. It provides 11 tools covering serial monitor management, ESP-IDF build and flash operations, port discovery, and coordinated USB-CDC access. Built with FastMCP in Python, it runs on macOS, Windows, and Linux and is installable via uvx.

Cognium trust score

64%

Tier

Scanned

Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-01.

Scan details: Circle-IR · 2026-09-01 · Appeal

View full trust & usage report →

Metadata

Version: 1.0.0
Skill type: atomic
Execution layer: mcp-remote
Category: monitoring
Source: PulseMCP
Repository: github.com/cmd0s/esp32-ai-loop-mcp-server
Author type: human
Last scanned: 2026-09-01
Updated: 2026-09-01

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MCP

Resolve ESP32 AI Loop from your agent

Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.

One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.

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

Swap --scope user for --scope project to commit it to .mcp.json.

Your client Same endpoint everywhere; only the config key differs. The full list is in the descriptor.

Claude Desktop · Settings → Connectors → Add custom connector

https://api.skillsregistry.net/mcp

Paste the URL as the connector endpoint. No authentication.

ChatGPT · Settings → Connectors → Create (developer mode) → MCP server URL

https://api.skillsregistry.net/mcp

Authentication: none. Works in chat and deep research — the server exposes the connector search and fetch tools.

Codex CLI · ~/.codex/config.toml

[mcp_servers.skillsregistry]
url = "https://api.skillsregistry.net/mcp"