Accelerate your development and validation workflows across the dSPACE tool chain. Use any existing AI agent with MCP to execute tasks, orchestrate workflows, and automate engineering activities using simple natural-language prompts while you remain fully in control.
Agentic Workflow Execution
Execute engineering workflows through natural-language prompts
Engineering Productivity Boost
Reduce manual effort and repetitive tool interaction
Cross-Tool Workflow Orchestration
Orchestrate workflows across multiple dSPACE tools
Human Oversight by Design
Review and approve actions before execution
What is the MCP Hub?
The dSPACE MCP Hub enables AI agents, such as Github Copilot, Claude Code, and Cursor, to execute engineering workflows across the dSPACE tool chain. By connecting tools through standardized model context protocol (MCP) servers, engineers can automate tasks, coordinate workflows, and accelerate development and validation processes using natural-language instructions. This reduces the need for manual tool interaction and enables AI-assisted workflow execution across the engineering lifecycle.
Describe what you want to achieve. Let the toolchain handle the execution.
Why use the MCP Hub?
Engineering teams spend a lot of time configuring tools, transferring information between applications, and executing repetitive workflow steps. The MCP Hub reduces this overhead by enabling AI assistants to coordinate activities across the dSPACE tool chain.
As a result, teams can:
- Spend less time operating tools
- Accelerate setup, testing, and validation
- Automate repetitive workflow steps
- Connect development and validation processes
- Focus on engineering decisions instead of tool handling
Every action remains transparent and under the supervision of engineers through built-in review and approval mechanisms.
From Tool Operation to Engineering Intent
Instead of manually navigating multiple tools and interfaces, engineers describe what they want to achieve.
The AI assistant coordinates actions across supported dSPACE tools, transforming engineering intent into executable workflows.
This approach helps organizations move toward specification-driven engineering processes while maintaining full control, traceability, and engineering responsibility.
Available MCP Servers
MCP support is continuously being expanded across the dSPACE toolchain. Initial support is available for:
- ControlDesk
- VEOS
- ConfigurationDesk
- Bus Manager
- SystemDesk
The latest availability and release status can be found on GitHub.
Get Started
dSPACE MCP servers, including installation instructions, documentation, and usage examples, are available on GitHub.
Explore the available MCP servers, access installation guides and examples, and start automating your engineering workflows.
On GitHub: dSPACE MCP Hub
