Chiplab
Give your AI agents virtual hardware to build, test, and simulate on. No real chip required.
- Kind
- api
- AI
- core to the product
“Chiplab — The API between agents and silicon Skip to content”its own headline
⚿ 8 contact fields stay closed. Everything it says about itself is open; how to reach it needs an account. Open them →
What it costs1
“Pricing -> https://veecle.ai/pricing”
How it runs2
“Chiplab is an MCP platform that lets AI agents compile, simulate, and validate firmware on the actual target chip — without physical hardware”
“One MCP tool call.”
What it offers as proof4
“Product Chiplab Beta Insights Contact Corpus Contact”
“Blog -> https://veecle.ai/blog”
“Careers -> https://veecle.jobs.personio.com/”
“Docs -> https://docs.veecle.ai/”
What it names2
“AI agents like Claude Code, Cursor, and Copilot get virtual hardware to build, test, and simulate firmware on — no real chip, no flashing, no waiting.”
“The agent calls Cursor, Claude Code, Windsurf Any MCP host. One endpoint.”
What it calls itself2
“Chiplab is an MCP platform that lets AI agents compile, simulate, and validate firmware on the actual target chip — without physical hardware”
⚿ Value and quote open with an account.
How to reach it3
⚿ Value and quote open with an account.
⚿ Value and quote open with an account.
⚿ Value and quote open with an account.
About
Firmware is the one place AI still can't help — an agent can write the code, but it can't run it on a real chip, see what happened, or fix what it can't observe. Chiplab closes that loop. Through a single MCP connection, AI agents like Claude Code, Cursor, and Copilot get virtual hardware to build, test, and simulate firmware on — no real chip, no flashing, no waiting. Just the same build-run-fix loop agents already use for software, now working for firmware too.
