MCP
MCP is Anthropic's open standard for letting AI models read from and write to external systems through a uniform interface. Model Context Protocol. It launched quietly in late 2024 and has since become the default way Claude (and increasingly ChatGPT, via OpenAI's compatible work) connects to real data. Your filesystem, your tools, your knowledge base, your APIs.
The posts here cover what MCP actually does, why it matters for anyone running a personal knowledge base, and how Save Vault uses it to make every saved article instantly available as context to Claude or ChatGPT. Without MCP, "AI with access to your notes" meant uploading files manually, hoping the model didn't hallucinate, and re-uploading next session. With MCP, the model has a stable read connection to your real vault. No uploads, no copy-paste, no per-session re-priming.
Some posts are conceptual: what MCP is, how it differs from the embedding and RAG patterns that came before. Others are practical: how to set up Save Vault as an MCP server, what it looks like in Claude Desktop, the trade-offs between giving an agent full vault access versus scoped access. If you've been running an Obsidian or Logseq vault for a while and the question is "how do I plug Claude into this without rebuilding everything", MCP is the answer and these posts are the walkthrough.
10 articles in this topic
## articles
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Claude + Obsidian: The 2026 AI Knowledge Base Setup
Connect Claude to your Obsidian vault in 5 minutes. Your AI finally reads your notes, web clips, and research — not just the current chat. Step-by-step MCP guide.
· #claude · #obsidian · #ai -
What Is AUI? The New Interface Paradigm Every Product Needs
HubSpot's CTO says every product needs a 'headless' version for AI agents. Google launched A2UI. The era of Agentic User Interfaces is here --- and it changes how we think about software design.
· #aui · #agentic-ui · #mcp -
Build Your Own Wikipedia: Karpathy's Wiki LLM Explained
Karpathy's Wiki LLM concept: explicit local knowledge beats opaque AI memory. Build your own personal Wikipedia from any webpage, Apple Notes, or diary — in Markdown, for any AI.
· #ai · #karpathy · #personal-knowledge-base -
Markdown Wikis Are Replacing RAG — Karpathy's Pattern Explained
A folder of Markdown files beats a vector database for personal knowledge. Why Karpathy's post-RAG pattern works, when to use it, and how to build one in 15 minutes with Save Vault.
· #rag · #llm · #knowledge-base -
Karpathy Uses Obsidian Web Clipper. Save Vault Does the Same Thing — With Claude Built In
Andrej Karpathy's viral LLM Knowledge Base workflow needs a web clipper, a folder, and an MCP server. Save Vault is all three, in one toggle.
· #ai · #llm · #knowledge-base -
Save Vault Is a Wiki Builder for the Claude Era
Stop thinking of Save Vault as a folder of clippings. With the new Claude connection, it's a living wiki that compiles itself — the pattern Karpathy went viral for, without the setup.
· #wiki · #knowledge-base · #claude -
How AI Agents Use Your Obsidian Vault in 2026 (MCP + Markdown)
Connect AI agents like Claude Code to your Obsidian vault via MCP. Turn your saved Markdown notes into context that makes AI smarter about your work.
· #obsidian · #ai · #mcp -
AI Second Brain with Claude + Obsidian (Full 2026 Stack)
Claude reads your Obsidian vault. Save clips the web to Markdown. Your entire knowledge — notes, articles, research — in every AI conversation. Here's the full stack.
· #markdown · #ai · #obsidian -
Why Markdown Is the Best Format for LLMs and AI Agents
Markdown reduces token usage by up to 10x compared to HTML. Learn why AI agents and LLMs prefer Markdown for context and how to optimize your AI workflows.
· #ai · #llm · #markdown -
MCP and Web-to-Markdown: The Future of AI Agent Tooling
Learn how Model Context Protocol (MCP) uses Markdown for AI agents. Build better RAG systems, AI assistants, and automated workflows with web-to-Markdown conversion.
· #mcp · #ai-agents · #automation