The Creators of Model Context Protocol
Timestamps:
00:00 Introduction and Guest Welcome
00:37 What is MCP?
02:00 The Origin Story of MCP
05:18 Development Challenges and Solutions
08:06 Technical Details and Inspirations
29:45 MCP vs Open API
32:48 Building MCP Servers
40:39 Exploring Model Independence in LLMs
41:36 Building Richer Systems with MCP
43:13 Understanding Agents in MCP
45:45 Nesting and Tool Confusion in MCP
49:11 Client Control and Tool Invocation
52:08 Authorization and Trust in MCP Servers
01:01:34 Future Roadmap and Stateless Servers
01:10:07 Open Source Governance and Community Involvement
01:18:12 Wishlist and Closing Remarks
After the NYC Summit, we wrote a popular piece explaining why we think the Model Context Protocol (https://modelcontextprotocol.io/) from Anthropic seems to have won the Agent Open Standard wars of 2023-2025.
https://latent.space/p/why-mcp-won
It seems everyone is now jumping on the MCP Bandwagon, from Cursor and Windsurf to OpenAI to Google DeepMind. Our AI Engineer community is hungry for more, so we are doing two things to explore the MCP phenomenon.
First, today's guests, Justin Spahr-Summers and David Soria Parra, are the co-creators of the Model Context Protocol, who were kind enough to do their first ever podcast with us, about the origin, challenges, and future of MCP, and gamely indulged all the questions that we asked from the Latent Space community.
https://www.linkedin.com/in/david-soria-parra-4a78b3a/?originalSubdomain=uk
https://www.linkedin.com/in/jspahrsummers/?originalSubdomain=uk
Second, swyx has announced that there will be a dedicated MCP track at the 2025 AI Engineer World's Fair, taking place Jun 3rd to 5th in San Francisco, where the MCP core team and major contributors and builders will be meeting. Join us and apply to speak or sponsor at https://ai.engineer !
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The 10,000x Yolo Researcher Metagame — with Yi Tay of Reka
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Training Llama 2, 3 & 4: The Path to Open Source AGI — with Thomas Scialom of Meta AI
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Finetuning LoRAs on BILLIONS of tokens 🤖
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Cursor UX team is CRACKED 💻
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Choosing the BEST OpenAI model 🏆
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How will OpenAI voice mode change API design?
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STEALING OpenAI models data 🥷
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Chapters (16)
Introduction and Guest Welcome
0:37
What is MCP?
2:00
The Origin Story of MCP
5:18
Development Challenges and Solutions
8:06
Technical Details and Inspirations
29:45
MCP vs Open API
32:48
Building MCP Servers
40:39
Exploring Model Independence in LLMs
41:36
Building Richer Systems with MCP
43:13
Understanding Agents in MCP
45:45
Nesting and Tool Confusion in MCP
49:11
Client Control and Tool Invocation
52:08
Authorization and Trust in MCP Servers
1:01:34
Future Roadmap and Stateless Servers
1:10:07
Open Source Governance and Community Involvement
1:18:12
Wishlist and Closing Remarks
🎓
Tutor Explanation
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