Browse all content tagged with AI Workflows
The Phoenix MCP Server bridges AI assistants with external data sources and services, enabling advanced development workflows and seamless integration with APIs, databases, and filesystems. Its modular design empowers developers to expose resources and tools to LLM-powered workflows, enhancing automation and flexibility for engineering tasks.
The UNS-MCP Server bridges AI assistants and development workflows with external data sources via the Unstructured API, enabling automated connector management, workflow orchestration, and seamless data pipeline integration for building robust AI applications.
The Doris MCP Server connects AI assistants and clients to Apache Doris databases using the Model Context Protocol (MCP), enabling natural language to SQL, advanced monitoring, metadata management, and secure enterprise analytics workflows.
Agentic AI is an advanced branch of artificial intelligence that empowers systems to act autonomously, make decisions, and accomplish complex tasks with minimal human oversight. Unlike traditional AI, agentic systems analyze data, adapt to dynamic environments, and execute multi-step processes with autonomy and efficiency.
Discover how Slackbot enhances productivity and communication within Slack. Explore its key functions, integration capabilities, and its significant role in education and business environments.
Save costs and get accurate AI outputs by learning these prompt optimization techniques.
