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Show HN: Labgrid-MCP – let AI agents drive real embedded hardware labs

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Show HN: Labgrid-MCP – let AI agents drive real embedded hardware labs
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Paste the console log if it doesn't." Not only for chat: any MCP client, scripted or human-driven, gets a policy-gated remote-control surface over labgrid's mature driver ecosystem, with the reservations and ownership arbitration ad-hoc device servers don't have. Try it in 5 minutes (no hardware needed) Requires uv (its bundled uvx does the rest, including provisioning Python): uvx labgrid-mcp demo This boots a complete fake lab on your machine: a real labgrid coordinator and exporter, one demo board with a fake power switch and a fake serial console. Then ask your agent: "List places, then acquire demo-place" "Power demo-place on and read its power state" "Open the console on demo-place and read its output" Ctrl-C tears everything down.

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Original publisherGitHub
Canonical URLhttps://github.com/onurcelep/labgrid-mcp
Publication timeWed, 05 Aug 2026 12:39:57 +0000
Retrieval time2026-08-05T13:05:41.698Z
Last seen2026-08-05T13:05:41.698Z
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Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.

Opening excerpt (first ~120 words) tap to expand

labgrid-mcp Drive real embedded hardware from Claude, AI editors, and any MCP client. labgrid is the open-source framework embedded teams use to share lab hardware: boards ("places") with remotely switchable power, serial consoles, USB muxes, and flashing tools. labgrid-mcp is a Model Context Protocol server that plugs any labgrid lab into the MCP ecosystem, so agents and dev tools can work with the lab directly: "Acquire the rk3399 board, flash last night's image, power-cycle it, and tell me whether it reaches a login prompt. Paste the console log if it doesn't." Not only for chat: any MCP client, scripted or human-driven, gets a policy-gated remote-control surface over labgrid's mature driver ecosystem, with the reservations and ownership arbitration ad-hoc device servers don't have.

Excerpt limited to ~120 words for fair-use compliance. The full article is at GitHub.

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