The 2026 Connectivity Stack is a framework from the MCP team for how agents connect to external systems. The core claim: there is no single connectivity solution. The best agents in 2026 use three...
4/20/2026
All memos tagged #model-context-protocol
Explorations of Anthropic's Model Context Protocol (MCP) — the open standard for connecting AI assistants to external tools and data sources. Covers implementation patterns, server architecture, and the emerging MCP ecosystem.
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Skills over MCP is an upcoming extension to the Model Context Protocol that lets servers ship domain knowledge alongside tools — structured instructions that tell the model how to use the server's...
4/20/2026
Progressive discovery is a client-side pattern for managing tool context in MCP-connected agents. Instead of loading every tool schema from every connected server into the model's context window at...
4/20/2026
How to build your first MCP server is a practitioner's guide to creating a Model Context Protocol server that connects any data source or tool to Claude Code, Claude.ai, or any MCP-compatible AI...
4/9/2026
AI memory systems are the tools and architectures that give Artificial Intelligence models persistent context across sessions — the ability to remember who you are, what you've worked on, and what...
4/9/2026
MCP vs RAG is the most common confusion in AI knowledge architecture. Model Context Protocol (MCP) and Retrieval-Augmented Generation (RAG) solve different problems, operate at different layers, and...
4/9/2026
MCP for personal knowledge systems is the practice of using the Model Context Protocol to connect a personal knowledge base — notes, memos, documents, research — to AI models as persistent,...
4/9/2026