The open-source Model Context Protocol (MCP) is growing in popularity, but there’s a lot of confusion surrounding it. In four short months since launched by Anthropic it has been adopted by OpenAI, Microsoft, and others marking a shift in how AI Agents observe, plan, and act with their environments. Together with Tom Martin, David Heurtaux, Kiran Ikram, Djon Kleine, Niels Degrande, and Nicolas de Bellefonds, we unpack how AI Agents are evolving, MCPs role, and why it’s a meaningful step towards broad applications of agentic systems in production. #BCGX #AIAgents #AI
That’s simply great! Thank a lot for sharing!
@
Excellent report, love the various diagrams and infographics
Very insightful share Daniel Sack . Although I could only glance through it but I've have saved it for a later read. Its a very well thought out and well laid article. A few thoughts came to mind - In real-world deployments of Agentic AIs, how do you suggest MCPs will adapt to: 1. Dynamic task switching (Adaptability), 2. Traceability for audit (Transparency, especially for regulated markets) and 3. Integrability with legacy systems (Interoperability).
This was such a helpful and great publication. Thank you for sharing!
Thanks for sharing Daniel. I think MCP will be a nice piece in the evolving AI Architecture & Stack, as you describe in slide 22 and 24. Have you looked into the monitoring of such a stack?
Great info here! Thanks for sharing
Thanks for sharing, Daniel
The best practice of agentic workflow is cursor ai as of now. It feels seamless. But you still nees to be the driver and make a proper decision in the direction the agents should execute. Because it's the details tailoring part of of any work is what gives actual value.
Senior Analyst @ BCG | Financial Industry Focus | Strategy Consulting | Digital Transformation (DX) | AI Adoption | FinTech & Expansion Strategy | PE/VC | Web3 & Blockchain
3w💡 Great insight