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 ...

Hands On Getting large language models to actually do something useful usually means wiring them up to external data, tools, or APIs. The trouble is, there's no standard way to do that - yet.… ...

Imagine a world where your AI tools don’t just answer questions or generate text but seamlessly connect with the systems and data you rely on every day. Whether it’s retrieving real-time information, ...

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 ...

Anthropic’s Model Context Protocol (MCP), coined the “USB-C for AI,” has inspired the software industry to think bigger with their AI assistants. Now, armed with access to external data and APIs, as ...

Model Context Protocol has a security problem that won't go away. When VentureBeat first reported on MCP's vulnerabilities last October, the data was already alarming. Pynt's research showed that ...