Latent Space: The AI Engineer Podcast The Creators of Model Context Protocol
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Apr 3, 2025 
In this discussion, David Soria Parra and Justin Spahr-Summers, creators of Anthropic’s Model Context Protocol (MCP), reveal how MCP has swiftly emerged as a leading standard in AI integration, overtaking established protocols in popularity. They share the origin story of MCP, the innovative challenges faced during its development, and the profound impact it has on enhancing communication between AI models. Listeners can also explore exciting prospects of open-source governance, the shift from stateful to stateless server models, and the future of AI functionalities through MCP.
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MCP's Purpose
- MCP extends AI applications, enabling integration with plugins and enhancing functionality.
- It's designed for AI applications, not just models, focusing on extending their capabilities.
MCP's Origin
- MCP's origin stems from David Soria Parra's frustration with limited developer tools at Anthropic.
- He envisioned a protocol solution, similar to LSP, to enable seamless integration between tools like Cloud Desktop and IDEs.
Building Protocols
- When building protocols like MCP, take inspiration from existing solutions like LSP.
- Focus innovation on key areas like primitives and be pragmatic with established choices like JSON-RPC.