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.

MCP, or Model Context Protocol, was proposed by Anthropic and is quickly becoming the industry’s standard interface between AI systems and traditional platforms. In a nutshell, it wants to be the AI ...

AI agents can answer all your questions, right? However, when it comes to triggering a workflow, calling an API or fetching live context from a system of record, everything comes to a halt. You might ...

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 ...

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 ...

The Model Context Protocol (MCP) is redefining how artificial intelligence (AI) systems interact with external tools and services. By addressing the inherent limitations of large language models (LLMs ...

Today’s AI coding agents are impressive. They can generate complex multi-line blocks of code, refactor according to internal style, explain their reasoning in plain English, and more. However, AI ...

I’ve watched enterprise technology wrestle with integration as the hardest part of scaling. We moved from monoliths to microservices, then layered middleware, ETL and iPaaS on top to stitch the ...