Model Context Protocol (MCP) servers, a relatively new idea from Anthropic to connect advanced AI systems with tools, data sources and other resources so they can act as autonomous agents, is now ...

Microsoft Product Manager Mike Kistler previews his Visual Studio Live! session on how MCP servers give .NET developers a universal standard for connecting AI models to external data and tools -- and ...

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 ...

Microsoft announced an update to GraphRAG that improves AI search engines’ ability to provide specific and comprehensive answers while using less resources. This update speeds up LLM processing and ...

Anthropic’s Model Context Protocol (MCP) is designed to standardize how large language models connect to tools, APIs, and data sources, enabling more autonomous and flexible AI workflows. Yet, risks ...

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

Building and publishing Model Context Protocol (MCP) servers is a crucial step in allowing language models to interact seamlessly with external tools and resources. These servers act as intermediaries ...