Blog
The Unabyss Vault
Everything we know about personal context for AI - what it is, how it works, how to build it, and why the difference between context and memory matters more than it sounds. Written for people who use AI tools seriously and want to get more out of them.
Read article Notion MCP: What It Does, How to Use It, and Whether It's Worth It
Your team's knowledge lives in Notion — project docs, specs, meeting notes, the databases that run your work. Your AI tools live somewhere else entirely, and they can't see any of it. So you copy...
9 August 2026 · 7 min read
Read article Linear MCP: What It Does, What It Can't Do, and Where Its Limits Are
You're deep in Claude Code, mid-feature, and the work you just finished needs a ticket. Old way: alt-tab to Linear, find the project, type it up, assign it, come back. New way: tell the agent to...
8 August 2026 · 6 min read
Read article Is MCP Safe? What the Model Context Protocol Actually Exposes
You want to connect a few MCP servers to Claude or Cursor, and something makes you hesitate. You're about to hand an AI agent access to your files, your GitHub, maybe your email — through a server...
7 August 2026 · 9 min read
Read article How Does ChatGPT Use MCP?
You connected an MCP server to Claude Desktop, it worked, and you assumed ChatGPT would be the same. Then you tried it and hit a wall — the local server Claude ran fine wasn't reachable, or...
6 August 2026 · 6 min read
Read article Gmail MCP: What It Does and Whether It's Worth It
You want your AI to work with your email. Not just read a thread you paste in — actually search your inbox, pull the right conversation, draft the reply. Gmail MCP is the connection that makes...
5 August 2026 · 6 min read
Read article GitHub MCP Server: What It Does, and Whether It's Worth It
You connect the GitHub MCP Server to Cursor or Claude, ask it to summarize the open PRs on your repo, and it works — the agent reads issues, opens branches, files pull requests, all in plain...
5 August 2026 · 6 min read
abyss — from Latin abyssus: chaos, the bottomless, the immeasurable. un- — the opposite of. Unabyss — structure, order, clarity.
The universal context layer for AI tools. Your data. Your rules. You decide who sees what. Structured once. Shared on your terms.
SOC 2 Type II (in progress)