The Model Context Protocol (MCP), introduced in November 2024, aims to standardize how AI models interact with tools and data, addressing the fragmentation developers face when building intelligent agents. MCP provides a unified way for AI to call external tools and fetch data, enhancing the efficiency of AI workflows. With MCP, developers can create versatile ...
The Model Context Protocol (MCP) server integrates Claude Desktop with Azure AI services, allowing you to search both your documents and the web effectively. You can choose between the Azure AI Agent Service, which offers advanced search features with AI enhancements, or a direct connection to Azure AI Search for precise keyword, vector, or hybrid ...
Anthropic recently introduced the Model Context Protocol (MCP), an open-source standard that simplifies how AI models interact with APIs. This protocol aims to create a universal way for AI agents to trigger actions externally, gaining significant interest, particularly from API management companies like Speakeasy. MCP acts as a meta-API, standardizing API access for AI agents, ...
Last November, Anthropic introduced the Model Context Protocol (MCP), an open-source standard meant to improve how AI models connect with APIs. This protocol aims to create a universal method for AI agents to perform tasks outside of their scope. Speakeasy, an API management company, has shown interest in MCP as a way to connect with ...
We are excited to introduce Astra DB over MCP, a groundbreaking way to interact with our vector database without writing any code. By using the Model Context Protocol (MCP), you can easily create and manage your database with the help of AI. MCP allows seamless communication between language models and tools, enabling tasks like data ...
The Model Context Protocol (MCP) is a groundbreaking open standard that simplifies how AI applications connect to various data and tools. Think of it like a universal port for AI systems, making interactions easier and more efficient than traditional APIs. With MCP, developers can use a single integration to access multiple resources, while enjoying features ...
Docker Desktop 4.39 brings exciting new features that enhance developer productivity. The standout addition is the Docker AI Agent, now smarter with Model Context Protocol (MCP) and Kubernetes support, making it easier to manage containers and streamline workflows. Developers can ask the AI Agent to help containerize applications in various programming languages without writing scripts. ...
Docker Desktop 4.39 enhances developers’ workflows with exciting new features. The integrated Docker AI Agent, now equipped with Model Context Protocol and Kubernetes support, makes managing containers and applications easier than ever. With a 9x increase in active users, it offers smarter solutions for troubleshooting and automation. The general availability of Docker Desktop CLI allows ...
The rise of AI agents is transforming the way APIs and applications are designed. Unlike traditional human users, AI agents operate in a more dynamic, task-oriented manner, making multiple API calls to fulfill user requests instead of just one. This shift will require developers to rethink API connections, focusing on limitless interactions, enhanced security measures, ...
