Unabyss: MCP-native context layer for AI tools

Unabyss launched on Product Hunt on May 25, 2026, landing the top spot for the day with 739 upvotes. The product addresses a problem that has become more visible as AI tool usage has scaled: context built in one platform does not carry over to another. A PM who has configured Claude with context about their team and roadmap gets none of that in Cursor, ChatGPT, or a new agent. Every tool starts from scratch.

Unabyss positions itself as a persistent context vault. It connects to LinkedIn, Notion, Gmail, Slack, GitHub, and similar sources, extracts relevant information within 90 seconds, and makes it available through an MCP server. Any AI tool that supports MCP — Claude, Cursor, and compatible agents among them — can query the vault with granular permission controls. The information updates daily.

For product managers who use multiple AI tools across their workflow, the practical implication is that role context and working preferences no longer have to be re-specified for each tool. The more interesting question for PMs building AI products is what this signals about user expectations: as context portability becomes available as infrastructure, users will increasingly expect the AI tools they pay for to know who they are without being told. Products that depend on users repeating their context will face growing friction compared to those that can receive it from a shared layer.

The product is currently in early access.