What if the next generation of AI systems could not only understand context but also act on it in real time? Imagine a world where large language models (LLMs) seamlessly interact with external tools, ...

AI agents and agentic workflows are the current buzzwords among developers and technical decision makers. While they certainly deserve the community's and ecosystem's attention, there is less emphasis ...

Docusign announced it will open its Model Context Protocol (MCP) Server to every AI agent on September 30. With the Docusign MCP generally available globally, agreement intelligence and governed ...

Aave Labs launched an MCP server giving AI agents live, non-custodial access to Aave V3 across 21 chains and V4 on Ethereum ...

Imagine a world where your AI tools don’t just work for you but work with each other—seamlessly, intelligently, and without the frustration of endless custom integrations. This isn’t a distant dream; ...

The Model Context Protocol (MCP) for agentic AI has gained much traction since being introduced by Anthropic last November, and now it has a C# SDK. The MCP is a standard for integrating large ...

As artificial intelligence applications proliferate across healthcare, the model context protocol is an emerging industry standard that defines how AI systems, large language models and agent-based ...

Making inherently probabilistic and isolated large language models (LLMs) work in a context-aware, deterministic way to take real-world decisions and actions has proven to be a hard problem. As we ...

The Model Context Protocol, or MCP, is a new open standard that makes it easier for AI models to connect with external data, APIs and services. Released by Anthropic in late 2024, MCP was designed to ...

Anthropic’s model context protocol (MCP), the ‘plug-and-play bridge for LLMs and AI agents’ to connect with external tools, has received a major update one year after its launch. The developer of ...

The updated protocol will simplify how enterprises deploy and scale MCP-based AI applications in the cloud, but developers relying on deprecated capabilities will need to plan for architectural ...