Veecle presents Chiplab as an MCP platform that connects AI agents with virtual instances of target chips for embedded firmware development. Agents can submit firmware to compile, simulate, test, and validate it without having physical hardware available. Veecle says the virtual environment models the actual target chip, including its peripherals and interrupt timing, so the same binary can be exercised before a board is accessible. The platform combines corpus lookup, build, simulation, testing, and benchmarking behind a single endpoint, returning verdicts, traces, diagnostics, register state, and coverage information. Its shared corpus records chip-specific issues, validated fixes, and architecture decisions so later agents can query knowledge accumulated from earlier runs. Chiplab also offers remote access to licensed toolchains such as IAR, ARMCC, and HighTec ASIL-D, removing the need to install them locally. The product supports synthetic sensor and bus inputs, including camera frames, CAN, and IMU data, allowing firmware I/O, faults, and timing behavior to be tested in simulation. The page shows Rust, Zephyr, and FreeRTOS examples and positions the service for tasks such as porting firmware, debugging faults, testing every commit, and evaluating a chip before purchase.
