As more organizations configure MCP servers to support agent-to-agent communication, upfront strategy, nonfunctional requirements, and security non-negotiables will guide safer deployments.

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, ...

Behavior-tracking software firm Amplitude Inc. today announced the public release of Amplitude MCP, a new remote server that makes the company’s behavioral insights instantly accessible within any ...

What if you could hand off your most repetitive tasks—like drafting emails, managing social media, or organizing design assets—to a system that not only executes them flawlessly but also learns and ...

Microsoft announced the stable release of Azure MCP Server 1.0.0, describing it as the start of a new phase for cloud automation and AI-driven development. The open-source implementation of the Model ...

Microsoft Corp. today showcased its vision for the “agentic enterprise,” positioning the Windows operating system at the center of new, artificial intelligence agent-led intelligent workflows. At its ...

As agentic AI becomes more embedded in our digital lives, businesses are racing to deploy Model Context Protocol (MCP) servers. MCP infrastructure is the control layer of agentic AI. It stores ...