Unabyss

MCP-native context layer that syncs your apps' data so every AI assistant shares one up-to-date memory.

Freemium Automation & Agents
Visit Website ↗

What is Unabyss?

Unabyss is a self-updating context layer for AI tools and agents delivered over the Model Context Protocol. It connects to everyday apps like Slack, Notion, Gmail, GitHub, and Google Drive, extracts and structures your personal or company context, and serves the relevant slice to any MCP-compatible assistant — Claude, ChatGPT, Cursor, Gemini — with granular permission controls over what each tool can see. A free start tier is offered with subscription billing for heavier usage, and the company claims over a million memory sources saved by users.

Key features

  • Connects 25+ apps: Slack, Gmail, Notion, GitHub, Google Drive, and more
  • MCP server serves context to any compatible AI tool
  • Automatic segmentation by topic, sensitivity, and source app
  • Permission scopes: exclude private, confidential, or whole apps
  • One-click exports: bios, investor updates, meeting prep, ICPs
  • Built-in ready-made skills inside the MCP
  • Official connector in Claude's directory
  • Token-efficient retrieval claimed at up to 10x savings vs standard RAG

Pros

  • One setup covers all AI tools — stop re-explaining yourself
  • Permission-aware retrieval protects private data
  • Product Hunt Product of the Day, Week, and Month badges
  • Free tier to start with no credit card

Cons

  • Privacy depends on trust in a single sync hub
  • Exact integration list should be verified inside the product
  • Young product — launched May 2026, still iterating

Unabyss at a glance

PricingFreemium
CategoryAutomation & Agents
Platformsweb
Official websiteunabyss.com
mcpai-contextmemoryintegrationsprivacyai-agentsproductivitycontext-management

How to choose the right Automation & Agents tool

Automation and agent tools promise to do work for you, so judge them on reliability before cleverness. Map the exact workflow you want to automate, then check the tool's integrations cover every app in that chain — one missing connector breaks the whole flow. Look for clear triggers, sensible limits, and logs you can read when something goes wrong, because something eventually will. For agents that act on your behalf, approval controls matter: you should be able to review messages, purchases or changes before they happen, especially at the start. Pricing usually scales with runs or tasks, so estimate your monthly volume honestly. Start with one low-risk workflow, measure the time it truly saves, and expand from there.

Compare all Automation & Agents tools →

Unabyss FAQs

What is Unabyss?

Unabyss is a self-updating context layer for AI tools and agents delivered over the Model Context Protocol. It connects to everyday apps like Slack, Notion, Gmail, GitHub, and Google Drive, extracts and structures your personal or company context, and serves the relevant slice to any MCP-compatible assistant — Claude, ChatGPT, Cursor, Gemini — with granular permission controls over what each tool can see. A free start tier is offered with subscription billing for heavier usage, and the company claims over a million memory sources saved by users.

What are the main features of Unabyss?

Unabyss offers Connects 25+ apps: Slack, Gmail, Notion, GitHub, Google Drive, and more, MCP server serves context to any compatible AI tool, Automatic segmentation by topic, sensitivity, and source app, Permission scopes: exclude private, confidential, or whole apps, One-click exports: bios, investor updates, meeting prep, ICPs, Built-in ready-made skills inside the MCP, Official connector in Claude's directory and Token-efficient retrieval claimed at up to 10x savings vs standard RAG.

How much does Unabyss cost?

Unabyss follows a freemium model: a free tier is available, and paid plans unlock higher limits and advanced features. Check its official website for current plan prices.

What are the pros and cons of Unabyss?

Strengths of Unabyss include One setup covers all AI tools — stop re-explaining yourself; Permission-aware retrieval protects private data; Product Hunt Product of the Day, Week, and Month badges. On the downside, Privacy depends on trust in a single sync hub; Exact integration list should be verified inside the product; Young product — launched May 2026, still iterating.