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David Soria Parra

Creator of Anthropic’s Model Context Protocol (MCP).

Top 3 podcasts with David Soria Parra

Ranked by the Snipd community
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1,672 snips
Apr 3, 2025 • 1h 20min

The Creators of Model Context Protocol

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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414 snips
May 2, 2025 • 54min

MCP Co-Creator on the Next Wave of LLM Innovation

David Soria Parra, creator of the Model Context Protocol (MCP) at Anthropic, shares his insights on revolutionizing AI applications. He discusses how MCP enables seamless integration of AI with existing tools, likening it to the API ecosystem. The conversation highlights innovative uses of MCP in creative tools like Blender and Ableton, fostering new artistic expressions. Furthermore, they delve into how agents communicate, balancing natural and programming languages, and underscore the importance of community participation in evolving this groundbreaking protocol.
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154 snips
May 13, 2025 • 51min

Anthropic and the Model Context Protocol with David Soria Parra

David Soria Parra, a Member of the Technical Staff at Anthropic, discusses the innovative Model Context Protocol (MCP), designed to connect AI assistants with various data sources seamlessly. He highlights how MCP standardizes these connections for real-time, context-aware responses, enhancing AI capabilities. The conversation also pivots to the evolution of version control systems, the transformative nature of the Language Server Protocol, and the need for centralized tool discovery in complex environments. Soria's insights promise a future where AI is more integrated and accessible.

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