Integrations
Works with any MCP host through one endpoint. The homepage shows Claude, Antigravity, Codex, Cursor and OpenCode logos, and names Claude Code, Cursor and Windsurf. Examples cover Rust, Embassy, Zephyr and FreeRTOS.
Chiplab
Virtual chip instances that let AI agents build and test firmware
Advanced API
What is Chiplab?
Chiplab is a coding tool. Chiplab by Veecle is an MCP platform that lets AI agents compile, simulate and test firmware on virtual instances of real target chips, with remote licensed toolchains and a shared corpus of validated embedded fixes.
Chiplab, built by Veecle, is an MCP platform that gives AI coding agents a way to compile, simulate and validate embedded firmware on a virtual instance of the real target chip. The pitch is that an agent no longer needs a physical board on the desk to find out whether its code works. The virtual silicon is described as a model of the actual chip rather than a generic CPU emulation, with the same binary, peripherals and interrupt timing as the physical part. The service is exposed through one endpoint that any MCP host can connect to, and the homepage names Claude Code, Cursor, Windsurf, Codex, Antigravity and OpenCode among the supported clients. Behind that endpoint sit several verbs. The ask call searches a shared corpus of chip-specific gotchas and validated fixes and returns ranked matches with confidence scores. The build call compiles source against production toolchains such as IAR, ARMCC and HighTec ASIL-D, which are licensed compilers run remotely so the user does not install them. The run call boots the virtual chip and returns a verdict, trace and register state. The test call executes unit and integration suites on every commit and reports coverage and regressions. The simulate call injects synthetic sensor data such as camera frames, CAN bus traffic and IMU readings into running firmware and reports faults and timing violations. The intended users are embedded engineers and teams whose dev kits have not arrived, who are porting to a new chip, debugging a HardFault, or evaluating a board before buying it. The examples cover bare-metal Rust, Embassy, Zephyr and FreeRTOS projects on parts such as the STM32F4. A distinguishing idea is the shared corpus: every run deposits what happened, and the next agent that calls inherits it. Compared with local emulators such as QEMU setups or vendor simulators, Chiplab trades local control for agent-native access and remotely hosted compilers. It is positioned as infrastructure for agent workflows rather than a standalone IDE. The homepage does not publish pricing, supported chip lists or setup documentation.
How do you use Chiplab?
1Choose an MCP host
Pick an agent environment that supports MCP, such as Claude Code, Cursor or Windsurf, and open the embedded project you want to validate.2Connect the Chiplab endpoint
Use the connect option on the Chiplab page to add the single MCP endpoint to the host, so the agent can see the Chiplab tools.3Ask about the target chip
Have the agent call the ask tool with the symptom or board, for example how to test STM32F4 Discovery firmware without hardware, and review the ranked matches.4Build and run on the virtual chip
Let the agent submit source and the chip ID to build and run, then read the verdict, trace and register state that come back.5Add tests and simulated sensors
Push a test suite so it runs on each commit, and define a sensor profile to inject synthetic data and surface faults or timing violations.
Pros and cons
Pros
- Lets agents test firmware before dev kits or prototypes existAI
- Single MCP endpoint works with hosts like Claude Code, Cursor and WindsurfAI
- Runs licensed toolchains such as IAR and ARMCC remotely, with no local installAI
- Synthetic sensor injection covers CAN bus, IMU and camera framesAI
- Shared corpus surfaces chip-specific gotchas and validated fixes to later agentsAI
Cons
- Homepage publishes no pricing, plans or usage limitsAI
- Supported chip and board list is not shown beyond a few examplesAI
- Requires an MCP-capable agent host, so it is not a standalone tool for manual workAI
- Fidelity claims for the virtual chip cannot be checked from the homepage aloneAI
- Firmware and code are sent to a hosted service, which may concern teams with IP restrictionsAI
How much does Chiplab cost?
Features
Five MCP tools: ask searches a shared embedded corpus, build compiles with remote licensed toolchains (IAR, ARMCC, HighTec ASIL-D), run executes firmware on a virtual chip, test runs suites per commit with coverage, and simulate injects synthetic sensor data.
Frequently asked questions about Chiplab
Does Chiplab have an API?
Yes, Chiplab offers an API.How do you use Chiplab?
The walkthrough on this page covers 5 steps: 1. Choose an MCP host 2. Connect the Chiplab endpoint 3. Ask about the target chip 4. Build and run on the virtual chip 5. Add tests and simulated sensors.What platforms does Chiplab support?
Chiplab is available on Web App.What does Chiplab integrate with?
Works with any MCP host through one endpoint. The homepage shows Claude, Antigravity, Codex, Cursor and OpenCode logos, and names Claude Code, Cursor and Windsurf. Examples cover Rust, Embassy, Zephyr and FreeRTOS.What are the limitations of Chiplab?
Homepage publishes no pricing, plans or usage limits. Supported chip and board list is not shown beyond a few examples. Requires an MCP-capable agent host, so it is not a standalone tool for manual work.
