On-demand Webinar
September 30th, 2025 @ 15:00 BST / 10:00 EDT
The Next Wave of AI for Enterprise
How Model Context Protocol (MCP) Will Transform Engineering Workflows
What If You Could…
- 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.
That’s what this webinar is about.
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 Monolith’s experts as they explain MCP in practical terms and show real examples of how they can speed up engineering workflows.
At their core, MCP makes it easier for AI systems to connect with other software and data, giving them the ability to do more than just generate text.
At Monolith, we specialise 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.
You’ll learn what MCP is, why it matters, and how it can be applied to save time and improve efficiency in your day-to-day work.
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
- Live Q&A with Monolith engineers — speak directly with the experts who built MCP integrations
Watch Monolith's Exclusive Webinar
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.
Meet our Speakers
Dan Mount
Senior Product Manager
Dan Mount is a Senior Product Manager at Monolith with experience at PwC and Airbus in consulting, aerospace engineering, and project management. He holds an MEng in Aerospace Engineering from the University of Liverpool.
At Monolith, Dan leads AI solutions across engineering sectors, working with cross-functional teams to deliver new features while exploring cutting-edge technologies for integration into engineering and client workflows.
Joel Henry
Lead Principal Engineer
Dr Joël Henry is our Lead Principal Engineer and has worked with the majority of our clients across automotive and battery testing to create lasting value for them.
He has won the Imperial College Award for the best PhD thesis and has previously worked on improving test and simulation methods in the aerospace industry
Simon Daigneault
Product Marketing Engineer
Simon holds an MEng in Mechanical Engineering from Imperial College London, specialising in battery testing. He also spent time at a battery energy storage startup, supporting pack design, testing, and system integration.
At Monolith, Simon interfaces with product, engineering, and commercial teams to translate advances in AI into practical insights for battery development.