42:I[185,["/_next/static/chunks/0sxns9k8ywops.js","/_next/static/chunks/11fk-1ie3w6mp.js","/_next/static/chunks/1uc4qdk4uj22c.js","/_next/static/chunks/0jvahffpql9nd.js","/_next/static/chunks/0agcep-t686m_.js","/_next/static/chunks/2_mrasy1s2owt.js","/_next/static/chunks/1nsk8jrr9fqe6.js"],"SendEmailButton"] 44:I[63625,["/_next/static/chunks/0sxns9k8ywops.js","/_next/static/chunks/11fk-1ie3w6mp.js","/_next/static/chunks/1uc4qdk4uj22c.js","/_next/static/chunks/0jvahffpql9nd.js","/_next/static/chunks/0agcep-t686m_.js","/_next/static/chunks/2_mrasy1s2owt.js","/_next/static/chunks/1nsk8jrr9fqe6.js"],"AddToLibraryButton"] 45:I[29721,["/_next/static/chunks/0sxns9k8ywops.js","/_next/static/chunks/11fk-1ie3w6mp.js","/_next/static/chunks/1uc4qdk4uj22c.js","/_next/static/chunks/0jvahffpql9nd.js","/_next/static/chunks/0agcep-t686m_.js","/_next/static/chunks/2_mrasy1s2owt.js","/_next/static/chunks/1nsk8jrr9fqe6.js"],"ShareButton"] 46:I[58016,["/_next/static/chunks/0sxns9k8ywops.js","/_next/static/chunks/11fk-1ie3w6mp.js","/_next/static/chunks/1uc4qdk4uj22c.js","/_next/static/chunks/0jvahffpql9nd.js","/_next/static/chunks/0agcep-t686m_.js","/_next/static/chunks/2_mrasy1s2owt.js","/_next/static/chunks/1nsk8jrr9fqe6.js"],"ProcessEpisodeButton"] 47:I[45269,["/_next/static/chunks/0sxns9k8ywops.js","/_next/static/chunks/11fk-1ie3w6mp.js","/_next/static/chunks/1uc4qdk4uj22c.js","/_next/static/chunks/0jvahffpql9nd.js","/_next/static/chunks/0agcep-t686m_.js","/_next/static/chunks/2_mrasy1s2owt.js","/_next/static/chunks/1nsk8jrr9fqe6.js"],"SignupCTA"] 3b:["$","h1",null,{"className":"max-w-[22ch] font-display text-[clamp(32px,4.5vw,48px)] font-medium leading-[1.05] tracking-[-0.02em] text-[color:var(--fg-1)] text-balance","children":"MCPs Fuelling Machine Learning Progress"}] 3c:["$","div",null,{"className":"flex flex-wrap items-center gap-x-4 gap-y-1 font-mono text-[12px] uppercase tracking-[0.1em] text-[color:var(--fg-3)]","children":[["$","time",null,{"dateTime":"2026-06-18T21:19:13.000Z","children":"June 18, 2026"}],["$","span",null,{"aria-hidden":true,"children":"·"}],["$","span",null,{"children":"00:16:55"}],false]}] 43:T4b5,In this episode, we explore the functionalities of MCPs and how they enhance the capabilities of AI tools like Claude and ChatGPT. We also discuss the differences between MCPs and APIs, share practical use cases, and highlight some of the most effective MCPs available for maximizing your AI integrations.

Chapters
00:00 Introduction to MCPs
02:00 Understanding APIs vs. MCPs
03:59 Setting Up MCPs Easily
09:58 Top MCP Tools and Recommendations
15:01 Benefits of Using MCPs

Show Links

Get the AI Box MCP: ⁠⁠https://aibox.ai/mcp
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