esp32-iphone-agent

Let an AI model use a real iPhone with a $7 ESP32: AirPlay eyes, USB HID hands, any OpenAI-compatible vision model. No Mac, no developer account, no jailbreak.

What does this entry provide?

esp32-iphone-agent is an MCP server entry in ChatHome Skills, sourced from GitHub MCP Search and scored 65/100. Let an AI model use a real iPhone with a $7 ESP32: AirPlay eyes, USB HID hands, any OpenAI-compatible vision model. No Mac, no developer account, no jailbreak. This catalog entry is the indexed repository onehumanbeing/esp32-iphone-agent. The command only downloads the repository. It does not build, start, or connect a client. A token, runtime, and client configuration are not in this catalog record. An MCP server exposes callable tools to a client. An agent skill is an instruction package. This entry is an MCP server record, and the catalog only has a source checkout. ChatHome Skills discovered this entry through its daily ingest of official registries and GitHub discovery queries, and re-verifies repository facts, freshness signals, and install metadata on every run. The quality score weighs official-registry presence, a working install command, license clarity, GitHub star trajectory, and repository freshness — the full formula is on the Sources page. Review the repository push date and repository status before adding esp32-iphone-agent to a production agent workflow; the snapshot facts below are point-in-time values from the most recent ingest.

Snapshot facts

Source: GitHub MCP Search
Quality: 65/100
Install method: source code
Repo: onehumanbeing/esp32-iphone-agent
Repo updated: Nov 14, 2026
Seen: Nov 15, 2026

Source checkout

git clone https://github.com/onehumanbeing/esp32-iphone-agent.git

Install method: source code

The command only downloads the repository. It does not build, start, or connect a client. A token, runtime, and client configuration are not in this catalog record.

Review the upstream source before running this command.

GitHub project

Quality

Repo stars

4,970

Repo updated

Nov 14, 2026

How is this score calculated?

Weighted across six dimensions, scored 0-100.
Provenance (25): listed in an official or curated registry.
Installability (25): a runnable install command beats a declared transport, which beats a source checkout.
Maintenance (20): recency of the last push; archived entries score zero here.
Adoption (20): repository stars on a log curve.

Security signals

Scan coverage: Install metadata and repository README.

Automated signals from install metadata and a bounded skill body — not a full code security audit and not a recursive source or dependency review.

MCP manifest

{
  "fullName": "onehumanbeing/esp32-iphone-agent"
}

Discovery note

Let an AI model use a real iPhone with a $7 ESP32: AirPlay eyes, USB HID hands, any OpenAI-compatible vision model. No Mac, no developer account, no jailbreak.

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