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MCP Servers Release Notes
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AI & Agentic Engineering
MCP Client Capabilities Explained: Roots, Sampling, Elicitation and Experimental Features
MCP Elicitation enables safer AI agents by requesting user input, validating decisions, and controlling high-impact MCP actions.
AI & Agentic Engineering
MCP Roots vs Resources vs Tools: 7 Powerful Data Access Patterns Every AI Engineer Must Master
MCP Roots vs Resources vs Tools explains the practical difference between scope, information, and executable capabilities in production MCP servers, including security,…
AI & Agentic Engineering
MCP Roots Explained: Powerful and Secure Filesystem Access for AI Agents
Learn MCP Roots security with 7 powerful lessons covering path validation, permissions, root changes, AI context, RAG, tools, and safe filesystem access.
AI & Agentic Engineering
MCP Prompts Explained: Reusable AI Instructions in the Model Context Protocol
Master MCP Prompts with this complete guide covering prompt registration, discovery, templates, parameters, security, governance, versioning, and production best practices.