5 posts tagged with "MCP"
MCP (Model Context Protocol) is an open-source standard for connecting AI applications to external systems. Learn how to connect LLM agents to systems securely, with governance and auditability. Includes patterns for trust, discovery, and operational readiness.
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MCP Resources: Adding Climate Data to Your Weather Server
Extend MCP servers with Resources for read-only data. Add 30-year climate normals to the weather server, understand Resource Templates, and combine Tools + Resources for powerful AI workflows.
Agent Skills vs MCP: Two Standards, Two Security Models
A technical analysis comparing Anthropic's Agent Skills specification and Model Context Protocol - two different approaches to extending AI agents, with fundamentally different security implications for credential management and code execution.
Building Your First Agent Skill: A Practical Guide
A hands-on tutorial for creating and using Agent Skills with Claude. Learn how to build a custom weather forecast skill from scratch, complete with Python scripts and API integration.
Publish Once or Fragment Forever? About the State of MCP Registries
From modelcontextprotocol.io's Registry Preview and Generic Registry API to GitHub, Docker, Azure, Smithery, Raycast, MCP.so, PulseMCP, and FluidMCP—what MCP registries actually do and how to choose.
Building Your First MCP Server: A Weather Forecast Integration
A hands-on tutorial for creating production-ready MCP servers with Python. Learn how to build a weather forecast server from scratch, test it locally, containerize it with Docker, and understand the architectural differences from Agent Skills.