Скачать или смотреть Claude Model Context Protocol (MCP): AI Has Tools Now and The Future Looks WILD

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https://modelcontextprotocol.io/intro...
https://blog.securitybreak.io/buildin...
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Takeaways:
1. Tool Use Unlocks AI Power: The Model Context Protocol (MCP) gives Claude the ability to use tools, much like how early humans or crows use tools to extend their abilities. MCP connects Claude to systems like Google Maps, GitHub, and SQL databases.
2. Flexibility in Integration: MCP allows Claude to interact with various tools by editing JSON files to set up custom servers. Though clunky now, this process already enables powerful workflows like automated data retrieval and app prototyping.
3. Speed and Simplicity: Even in its early stages, MCP enables rapid results. For example, someone used it to create a Google Maps-based lunch finder in just 90 seconds.
4. Comparison to HTTP: MCP is likened to the introduction of HTTP in the early days of the web. Just as HTTP became the foundation for platforms like Google and Amazon, MCP could enable a new era of AI-driven innovation.
5. Future Ease of Use: While MCP currently requires manual configuration, future iterations are expected to simplify integrations, offering native tools, click-to-configure options for casual users, and developer-level customization.
6. 2025 Vision: By 2025, MCP could revolutionize AI usage, but only for those willing to explore and utilize its capabilities. Many may remain limited to basic chatbot functionality, missing the transformative potential.
7. Empowerment Over Replacement: MCP shifts AI from being a passive responder to an active collaborator, amplifying human creativity and problem-solving rather than replacing it.

Quotes:

“We are at a point now where we can say, ‘Claude, can you build a tool for this?’ And Claude can figure it all out.”
“Tool use has come to AI. If you think this won’t revolutionize how we use AI, you’re missing the larger picture.”
“The Model Context Protocol is like HTTP in the 1990s—it’s going to change everything by giving AI a standard way to use tools.”

Summary:

The Model Context Protocol (MCP) is a groundbreaking innovation that allows AI, like Anthropic’s Claude, to interact with tools and external systems. While MCP currently requires manual JSON edits to set up, it already demonstrates transformative potential. Developers have used it to create rapid workflows, like a Google Maps lunch finder in 90 seconds or querying SQL databases through Claude. MCP is compared to the advent of HTTP, which revolutionized the web, suggesting MCP could similarly transform AI workflows. Future iterations promise greater accessibility, empowering users to leverage AI as a collaborative tool, not just a chatbot.

Keywords:
Model Context Protocol, MCP, Claude, Anthropic, JSON, HTTP, Google Maps, GitHub, SQL, tool use, AI collaboration, workflow automation, future of AI, large language models, LLMs, coding, developer tools, early adoption, API integration, chatbot innovation