Anthropic’s model context protocol (MCP), the ‘plug-and-play bridge for LLMs and AI agents’ to connect with external tools, has received a major update one year after its launch.
As the development of AI tools accelerates, organizations are under increasing pressure to move models from prototype to production securely and with scalability. Behind the scenes, managing AI models ...
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What on earth is the AI model context protocol?
Imagine you’ve trained or fine‑tuned a chatbot or an LLM, and it can chat comfortably without any serious hiccups. You feed it a prompt and it responds. However, it’s stuck in a bubble: It only knows ...
Netskope is advancing protections for organizations adopting agentic AI with new security capabilities for Model Context ...
A new GitHub repo serves as a lab for creating a Model Context Protocol (MCP) Server and using it in Microsoft Copilot Studio. The MCP, originated by AI leader Anthropic and taken open source, is a ...
Application owners have complete control over the Genesis MCP Server and can specify which application functions AI agents can access. In addition, all interactions via the Genesis MCP Server can be ...
AI is quickly becoming a core capability in enterprise software, but most developers know that integrating it remains painful. Despite the hype around generative AI and large language models (LLMs), ...
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