AI chatbots are great at answering questions or analyzing text, but they're usually limited to the tools that are built in. MCP changes that by giving chatbots a standard way to connect to external ...
Going into this week, we knew we'd be getting a ton of Gemini AI news from Google's I/O 2025 event, and that's exactly what happened. Google made several key announcements for its AI products, and the ...
Rockford Lhotka previews his Visual Studio Live! San Diego session, 'MCP Magic,' and explains why the Model Context Protocol is becoming a key building block for AI agents. In this Q&A, he discusses ...
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 ...
Microsoft announced two related updates for Visual Studio: support for bringing your own model (BYOM) to Copilot Chat and general availability of the Model Context Protocol (MCP) client in the IDE.
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 ...
Gong, the revenue intelligence company that has spent a decade turning recorded sales calls into data, today launched what it calls Mission Andromeda — its most ambitious platform release to date, ...
Cloud business software vendor Oracle NetSuite today unveils an MCP integration that it says goes further than other vendors in how customers and partners can connect their data and functions in ...
What if the key to unlocking seamless AI integration wasn’t just about better tools, but about rethinking how they connect? In the fast-evolving world of artificial intelligence, bridging the gap ...
Becoming one of the first Indian consumer brands to launch MCP, Swiggy has introduced this AI integration across its business verticals This will allow Swiggy users to place orders via AI tools such ...
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 ...