Event details
Explore MCP in real engineering contexts
Anthropic recently introduced the Model Context Protocol (MCP), a new way to make AI systems interact with tools, APIs, and engineering data sources. But what does this mean for engineers in R&D and testing?
Join CoreWeave’s experts as they explain MCP in practical terms and show real examples of how it can speed up engineering workflows, enabling teams to:
- Catch hidden problems sooner by automating anomaly detection and reducing hours of manual inspection
- Explore material combinations faster with AI that instantly processes results and generates clear reports
- Accelerate testing and validation by letting AI handle analysis, so you can spend more time innovating
At CoreWeave, we specialize in applying AI to engineering R&D. Our team has been testing MCP since its release, and in this session, we’ll share how it can be used in real engineering contexts.
Webinar highlights
- Automating anomaly detection workflows: reduce manual inspection and catch hidden problems sooner
- Optimising cathode materials: explore material combinations faster and generate instant reports
- What MCP means for engineering R&D: understand opportunities for testing, validation, and design
- Q&A with Monolith engineers: hear directly with the experts who built MCP integrations
Who should watch?
This session is for engineers and technical leaders who want to stay ahead as AI reshapes engineering workflows:
- Engineers curious about MCPs and how they could be applied in real R&D and testing contexts.
- Professionals who want to stay ahead of the curve and see how new AI standards like MCPs are shaping engineering.
- Early adopters in R&D and testing who are eager to explore practical, cutting-edge applications before they become mainstream.
If you’ve been hearing about MCPs and wondering “what does this mean for my work?”, this webinar is for you.
