Expanding AI Agents with MCP Servers & API Platforms

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Jun 18, 2025

Simon Yu, Co-founder and COO at Speakeasy, joins to discuss the booming landscape of MCP servers and their role in API integration with AI systems. He highlights trends in Agentic AI and the excitement surrounding its application in organizations. Yu dives into the necessity of MCP servers for real-time data access and explores the future where AI agents might interact seamlessly. He emphasizes the challenges firms face in leveraging these technologies while stressing the importance of educational investment in API infrastructure.

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INSIGHT

MCP Servers Empower AI Agents

MCP servers enable AI agents to access real-time data and perform actions like booking tickets or making reservations.
They bridge static AI knowledge bases and dynamic service APIs, essential for practical agent workflows.

INSIGHT

Agentic Web is the Next Wave

The evolution from GUIs to APIs now leads to an agentic web where AI agents communicate via MCP servers.
Agent-to-agent communication likely builds on MCP servers enabling complex workflows among AI agents.

ADVICE

AI Needs Human Oversight on SDKs

AI is not reliable for generating high-quality SDKs or MCP servers that require precision and determinism.
Use AI to generate SDKs and MCP servers but maintain human oversight to ensure performance and correctness.

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Simon Yu (Co-Founder @SpeakeasyDev) discusses the rise of MCP servers, API integration into AI systems, including SDK generation, and the emergence of the Agentic web.

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SHOW NOTES:

Topic 1 - Welcome to the show, Simon. Give everyone a quick introduction.

Topic 2 - API tooling and platforms for AI has become the hot topic this year. Of course, Agentic AI has made significant contributions to this. What trends do you see that we need to pay attention to? What problems are organizations trying to solve?

Topic 3 - Let’s dig into MCP Servers. The interest in MCP has taken off. At the highest level, why do they exist?

Topic 4 - MCP servers and all the recent announcements around an Agentic Web have me thinking… Do we need to prepare for an Internet where AI agents talk to each other? We had humans and GUIs (web frontends), then we saw the rise of APIs. Is this a third wave or an evolution of the API wave?

Topic 5 - How do SDKs and things like AI API tooling play into all of this? API tools to generate SDKs or AI documentation aren’t new. How does the abstraction of AI change this process?

Topic 6 - In our experience, API-level integrations are challenging to productize. Sometimes it comes down to something as simple as who is going to pay for it, and developers often have a voice and a seat at the table, but don’t have the budget. What has been your experience?

Topic 7 - How does the business side of the house see an advantage to this? What metrics tend to matter and are measurable?

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