Atlas People Integrations

Claude Duet is a proactive AI agent that helps professionals manage work across connected apps. It delivers a morning brief, monitors connected accounts for items needing attention, and accepts tasks by text or voice in a continuing conversation. The agent can schedule meetings, draft replies and reminders, prepare payroll and agreements, create reports and dashboards, and help build forecasts or web apps. Work continues in a cloud-based virtual machine while the user is away; Claude Duet sends updates when a task is complete or needs review. It carries over Claude account memory, skills, and connected apps, and supports more than 6,000 marketplace connectors and plugins. Before sensitive actions such as sending messages, paying, signing, or deleting, it requests approval. The research-preview app is available on iOS, Android, and the web for eligible Claude Pro and Max subscribers in the United States.

Claude is a next-generation AI assistant developed by Anthropic to help individuals and teams solve complex problems with safety, accuracy, and reliability at its core. It is designed to support a wide range of tasks, including writing, editing, coding, data analysis, and research. Claude allows users to create and iterate on documents, websites, graphics, and code directly within chat using collaborative tools like Artifacts. The platform supports file uploads, image analysis, and data visualization to enhance productivity and understanding. Claude is available across web, iOS, and Android, making it accessible wherever work happens. With built-in web search and extended reasoning capabilities, Claude helps users find information and think through challenging problems more effectively. Anthropic emphasizes security, privacy, and responsible AI development to ensure Claude can be trusted in professional and personal workflows.

Model Context Protocol (MCP) is an open protocol designed to standardize how applications provide context to large language models (LLMs). It acts as a universal connector, similar to a USB-C port, allowing LLMs to seamlessly integrate with various data sources and tools. MCP supports a client-server architecture, enabling programs (clients) to interact with lightweight servers that expose specific capabilities. With growing pre-built integrations and flexibility to switch between LLM vendors, MCP helps users build complex workflows and AI agents while ensuring secure data management within their infrastructure.