An MCP Server is a simple program that lets AI models securely access data and tools using the Model Context Protocol (MCP). FastMCP is a Python framework that helps you build MCP servers and clients.

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 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 ...

The integration of mCP (Model Context Protocol) servers with Claude Code is reshaping how workflows are designed and executed. By combining server-based protocols, APIs, and custom tools, you can ...

GitHub has launched the GitHub MCP Registry, a curated registry of Model Context Protocol (MCP) servers with repositories on GitHub. The GitHub MCP Registry was launched September 16 with MCP servers ...

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.

The top 10 Claude MCP servers let you connect Claude AI with Gmail, PowerPoint, WhatsApp, Telegram, Spotify, Todoist, and travel planning tools, enabling seamless automation and integration across ...

Google LLC today introduced managed MCP servers that will enable artificial intelligence agents to interact with four of its cloud services. Until recently, giving AI agents access to an application ...