- Dspace has announced the integration of workflows based on the open Model Context Protocol (MCP).
- This development enables the direct connection of artificial intelligence agents to the German supplier’s simulation and testing tools.
- MCP-compatible tools support specification-driven workflows, spanning everything from requirements definition to simulation, hardware execution, and continuous improvement.
In automotive system development, requirements, simulation models, and test benches are often managed in separate software environments. The proliferation of these tools necessitates manual data transfers at every stage of the validation chain.
Implementing the MCP protocol aims to establish standardized interfaces between AI agents and the dSPACE ecosystem. This connectivity automates the transition between phases—from interpreting specifications to execution on actual hardware—while keeping engineers in control of result verification and validation.
Hardware and software integration scope
MCP compatibility extends across the German brand’s entire toolchain. AI agents can interact with various software and hardware platforms:
- Definition and tracking: Interpreting requirements and refining technical specifications.
- Simulation and configuration environments: Coordinating tasks between Veos, ConfigurationDesk, and Bus Manager.
- Testing and execution: Controlling the ControlDesk interface and coordinating with ECUs and real-time hardware.
Traceability and continuous feedback loop
Linking these agents with measurement and simulation benches reduces the volume of manual configuration tasks. The architecture maintains full data traceability between the requirements phase and physical bench testing. Data and insights from validation sessions are fed directly back into the development process. This feedback loop enables the continuous adjustment of specifications and software models.
