Imagine a world where your favorite tools and platforms work together seamlessly, powered by the intelligence of large language models (LLMs). No more clunky integrations, endless API documentation, ...

Bigger models aren’t driving the next wave of AI innovation. The real disruption is quieter: Standardization. Launched by Anthropic in November 2024, the Model Context Protocol (MCP) standardizes how ...

Model Context Protocol (MCP) is becoming the most common interface to connect AI applications to enterprise systems like Gmail, Google Drive, GitHub and Salesforce. The goal is to give AI and AI ...

Model Context Protocol makes it far easier to integrate LLMs and your APIs. Let’s walk through how MCP clients and servers communicate, securely. Every new protocol introduces its own complexities.

Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now The Model Context Protocol (MCP) has become ...

What if you could build your own AI-powered automation agents in minutes, without needing a degree in computer science or hours of setup? With tools like Claude, MCP servers, and n8n, this is no ...

The ability to connect to both cloud and on-premises versions of Azure DevOps is a significant advantage. It means the server can be a consistent part of your AI-DevOps workflow, regardless of where ...

In Part 1, we explored how the Model Context Protocol (MCP) is reshaping enterprise security by introducing dynamic, non-deterministic workflows. Unlike traditional APIs, built on predictable, ...

Hundreds of Model Context Protocol (MCP) servers used to link LLMs to third-party services, data sources, and tools include default configurations that could expose users to unauthorized OS command ...