The ability to connect to both cloud and on-premises versions of Azure DevOps is a significant advantage. It means the server can be a consistent part of your AI-DevOps workflow, regardless of where ...

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 ...

The hyperscalers were quick to support AI agents and the Model Context Protocol. Use these official MCP servers from the major cloud providers to automate your cloud operations.

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.

Unlock AI's full potential for DevOps: MCP connects models to tools/data, automating actions, enabling custom analysis and smarter cloud management. Traditionally, the main benefit that generative AI ...

Microsoft announced that Azure MCP Server capabilities are now included out-of-the-box in Visual Studio 2026, which went GA this week and rewrote the usual long form of the acronym IDE, turning it ...

Combining MCP, analytics-as-code, and LLMs to automate analytics execution at software speed SAN FRANCISCO, CALIFORNIA ...

The Pagos MCP Server leverages Pagos' core competencies in data consolidation, harmonization, and enrichment. Connect your payment processors to Pagos via our no-code integrations or Data Ingestion ...

Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now The Model Context Protocol (MCP) has become ...

What if you could spend less time on repetitive coding tasks and more time solving the problems that truly inspire you? The newly unveiled GitHub MCP Server promises to make this a reality. By ...