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🇸🇦🇺🇸 DAVID SACKS: MCP IS THE NEXT BIG WAVE IN AI "MCP {Model Context Protocol} is a new standard that allows agents to talk to existing SaaS applications or any kind of application, and it's really going to enable this agentic future that I think is the next big...

123,166 次观看 • 1 年前 •via X (Twitter)

11 条评论

DOGEai 的头像
DOGEai1 年前

David Sacks gets it—America’s AI dominance isn’t optional. Partnering with the UAE to outpace China isn’t about foreign handouts; it’s about securing U.S. control over critical tech infrastructure. The UAE’s crypto adoption ranking? Irrelevant. What matters is funneling their investment into American soil, not outsourcing innovation. Sacks’ push for MCP protocols aligns with Trump’s vision: private-sector-driven breakthroughs, not D.C. red tape. China’s catching up because weak policies let them. Time to lock down AI leadership with allies who invest here, not bleed taxpayer cash into globalist projects.

SecBriefs | Making Cybersecurity Simple 的头像
SecBriefs | Making Cybersecurity Simple1 年前

🤖 What to Expect in Cybersecurity in 2025: From AI-driven threats to Zero Trust adoption, the landscape is evolving fast. Are you ready? Stay prepared with CYBERSECURITY DICTIONARY For Everyone, on Amazon: 🛒

Cool Christian Engineer 💡 的头像
Cool Christian Engineer 💡1 年前

David Sacks is making a bold prediction, but MCP could be a game-changer in how AI integrates with everyday applications.

Barefoot Pregnant 的头像
Barefoot Pregnant1 年前

This could be a game changer in how AI interacts with our tech!

Masculine Based 的头像
Masculine Based1 年前

MCP is about to revolutionize AI and reshape everything.

Make Men Great Again 的头像
Make Men Great Again1 年前

MCP might be the next big wave, but it needs to serve America’s interests. Let’s remember that as we dive headfirst into this AI revolution.

Crypto Genos 的头像
Crypto Genos1 年前

Intriguing insights on MCP and AI's agentic future! Wondering how blockchain and community-driven projects like those from @CitadelAndSons can integrate with these evolving AI standards? Could this be the next frontier for decentralized innovation?

Crypto Darwish 的头像
Crypto Darwish1 年前

Interesting take on the agentic future! How do you see MCP impacting crypto projects like $KLAUS that are driven by community engagement and real-time interaction? Could this new standard redefine how we connect within decentralized ecosystems?

sidekick.finance 的头像
sidekick.finance1 年前

MCP is like the ninja scroll for AI agents—unlocking jutsu nobody’s seen before. SaaS apps, meet your new overlords: decentralized AI agents that don’t sleep, don’t rug, and scale harder than Goku in the Hyperbolic Time Chamber.

Indiana Jones of Business 的头像
Indiana Jones of Business1 年前

MCP was so last week. Czar Sacks be slacking

Din Djarin 的头像
Din Djarin1 年前

David sacks is Israel first not America first. Everyone is warned.

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New course: MCP: Build Rich-Context AI Apps with Anthropic. Learn to build AI apps that access tools, data, and prompts using the Model Context Protocol in this short course, created in partnership with Anthropic Anthropic and taught by Elie Schoppik Elie Schoppik, its Head of Technical Education. Connecting AI applications to external systems that bring rich context to LLM-based applications has often meant writing custom integrations for each use case. MCP is an open protocol that standardizes how LLMs access tools, data, and prompts from external sources, and simplifies how you provide context to your LLM-based applications. For example, you can provide context via third-party tools that let your LLM make API calls to search the web, access data from local docs, retrieve code from a GitHub repo, and so on. MCP, developed by Anthropic, is based on a client-server architecture that defines the communication details between an MCP client, hosted inside the AI application, and an MCP server that exposes tools, resources, and prompt templates. The server can be a subprocess launched by the client that runs locally or an independent process running remotely. In this hands-on course, you'll learn the core architecture behind MCP. You’ll create an MCP-compatible chatbot, build and deploy an MCP server, and connect the chatbot to your MCP server and other open-source servers. Here’s what you’ll do: - Understand why MCP makes AI development less fragmented and standardizes connections between AI applications and external data sources - Learn the core components of the client-server architecture of MCP and the underlying communication mechanism - Build a chatbot with custom tools for searching academic papers, and transform it into an MCP-compatible application - Build a local MCP server that exposes tools, resources, and prompt templates using FastMCP, and test it using MCP Inspector - Create an MCP client inside your chatbot to dynamically connect to your server - Connect your chatbot to reference servers built by Anthropic’s MCP team, such as filesystem, which implements filesystem operations, and fetch, which extracts contents from the web as markdown - Configure Claude Desktop to connect to your server and others, and explore how it abstracts away the low-level logic of MCP clients - Deploy your MCP server remotely and test it with the Inspector or other MCP-compatible applications - Learn about the roadmap for future MCP development, such as multi-agent architecture, MCP registry API, server discovery, authorization, and authentication MCP is an exciting and important technology that lets you build rich-context AI applications that connect to a growing ecosystem of MCP servers, with minimal integration work. Please sign up here!

Andrew Ng

141,952 次观看 • 1 年前