AI-assisted migration
Finding faulty devices in your fleet
Keeping AI costs down
Troubleshooting user-reported errors
DeviceTree and Kconfig generation
Validating release readiness
Adding shell commands
For many developers, using AI assistance is part of their workday. Using LLMs trained on generic data works well for some use cases, but for the most accurate results and efficient use of tokens, you want the AI assistant to have access to verified information, directly from the SDK you’re working with.
Nordic delivers this through an implementation of the Model Context Protocol (MCP). The Nordic MCP servers give your AI assistant access to reliable and validated sources for true Nordic context: SDK documentation, API references, device configurations, and your field data from nRF Cloud.
- Connected to nRF Connect SDK documentation and nRF Cloud data
- Integrates with the AI assistant you already use — including Claude Code, Cursor, GitHub Copilot, or any other
- Designed to assist, not replace, developers
- Covers the full development lifecycle, from prototyping to fleet management