Android phone camera, sensors & files for any MCP client — local, no cloud, no ADB.
Android phone camera, sensors & files for any MCP client — local, no cloud, no ADB.
On a clean PC, uvx doesn't exist yet and the command below will fail with "'uvx' is not recognized". The easiest fix: install the onSense app first, tap "Start PC setup helper", and open the shown address on your PC. It gives you a one-line command that installs uv, pairs, and registers the MCP server in one go — and because the PC connects out to the phone, it also sidesteps the Windows firewall entirely.
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{ "mcpServers": { "onsense": { "command": "uvx", "args": ["onsense", "serve"] } } }Configuration as documented by the project. Restart the client after saving.
uvx; downloads a managed Python automatically — no separate Python install needed) - The onSense Android app installed on a phone on the same local Wi-Fi network as your PC - An MCP-compatible AI client such as Claude Code, Codex, or any stdio MCP client ---| Variable | Description | Required |
|---|---|---|
| PHONE_TOKEN | Credential the server authenticates with. | Yes |
Enables natural language interaction with Home Assistant entities using the Model Context Protocol.
Integrates with Home Assistant to provide smart home control capabilities via Model Context Protocol (MCP).
Search open robot training jobs (teleoperation, data collection, AV and drone tests) and their pay.
Find robotics, humanoid and embodied AI jobs from PhysicalAI.jobs.
Motion sensor for AI agents: tells when a screen region changes or goes still. Scores, never pixels.
A Model Context Protocol (MCP) server that enables AI agents to interact with the 1NCE IoT connectivity management platform through natural language.