There’s a lot of noise around APIs vs MCP and it’s time to separate signal from speculation. In this edition, we unpack where traditional APIs shine, where they fall short in agentic AI environments, and how MCP fits in as a powerful complement rather than a replacement.
💡 Key Takeaways
- Understanding why live context-sharing is important in agentic AI systems
- Learn about the key differences between API and MCP
- Get to know about the architectural differences between the two protocols
- Learn about function calling in API vs MCP Understand which tool suits best for you
If you’ve been wondering whether you need both, or how to evolve your integration stack without rewriting it from scratch, this is worth a read 👇
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