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Unabyss for Claude

UNABYSS: The Universal Context Layer for Seamless AI Cross-Tool Integration

Introduction:

UNABYSS is a powerful universal context layer designed to bridge the gap between isolated AI tools and your professional data sources. By utilizing an MCP connector, UNABYSS allows AI agents like Claude, ChatGPT, and Cursor to access a unified, live, and structured memory of your work in Slack, GitHub, Notion, and Gmail. It eliminates the need for repetitive context-setting, ensuring your AI tools are always in sync with your latest decisions and data.

Added On:

2026-07-19

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UNABYSS: The Ultimate Universal Context Layer for AI Productivity

In the rapidly evolving landscape of artificial intelligence, a significant friction point remains: the context gap. You might be using Claude for complex reasoning, ChatGPT for quick brainstorming, and Cursor for coding, but each tool operates in a vacuum. Your AI tools don't talk to each other, and they certainly don't know what is happening in your GitHub repositories or Slack channels unless you manually explain it every single time.

UNABYSS is designed to solve this problem. As a universal context layer, UNABYSS provides a bridge between your data and your AI tools, ensuring that your complete context follows you wherever you work. Derived from the Latin abyssus (meaning chaos or the immeasurable), the prefix un- signifies the opposite: UNABYSS brings structure, order, and clarity to your AI interactions.

What is UNABYSS?

UNABYSS is a sophisticated MCP (Model Context Protocol) connector that structures and delivers the real-time information your AI needs to work correctly. Instead of re-explaining your project goals, recent decisions, or technical constraints to every different AI model, you connect your data sources to UNABYSS once.

UNABYSS acts as a unified memory layer that sits between your favorite apps (like Notion, Linear, Gmail, and GitHub) and your AI agents. This allows for a seamless flow of information where every conversation with an AI pulls from your real, live context. Whether you are building a CEO weekly report or asking a coding assistant for an infra decision review, UNABYSS ensures the AI has the full picture.

How it Works: The Path to Unified AI Memory

The magic of UNABYSS lies in its ability to synchronize disparate data sources into a single, structured context layer. The process is streamlined into three primary phases:

1. Connect Your Sources Once

First, you link the tools where your professional context already lives. UNABYSS integrates with over 25+ apps, including Slack, Gmail, Notion, Google Calendar, GitHub, Linear, and many more. This initial connection ensures that the raw data of your work life is accessible.

2. UNABYSS Structures the Context

Once connected, UNABYSS doesn't just dump the data into a flat file. It extracts and organizes the information into one live context. The platform structures data by tagging it based on topic, sensitivity, and source. This ensures that the context is not only current but also intelligently organized for AI retrieval.

3. AI Tools Pull via MCP

Every AI tool you use—be it Claude, ChatGPT, Cursor, Gemini, or Perplexity—can now pull from this same central memory via the MCP connector. Because the context is live, your AI never works with a "stale snapshot" of your work; it sees the most recent updates from your connected apps.

Core Features of UNABYSS

UNABYSS offers a suite of features that set it apart from standard built-in AI memories or static context files:

  • Universal Reach: UNABYSS follows you across 10+ AI tools. No more silos where what you figured out in one tool is invisible to the next.
  • Live Synchronization: Connected to your real sources, UNABYSS ensures your context is never outdated. If a roadmap changes in Slack, your AI knows about it instantly.
  • Rich, Structured Data: Unlike flat text dumps, UNABYSS tags information by topic and source. This allows it to pull only the relevant slice of context for any given query, improving accuracy and reducing noise.
  • Data Ownership: You own the context layer. It isn't locked inside a single vendor's ecosystem. You can export it, move it between models, and decide who sees what.
  • High-Scale Memory: With over 500,000+ items already synced by users, the platform is proven to handle high volumes of professional data.
  • Security: UNABYSS is currently in progress for SOC 2 Type II certification, ensuring your data is handled with enterprise-grade security protocols.

Diverse Use Cases for UNABYSS

UNABYSS is built for how modern teams and individuals work, providing specific benefits across various roles:

Founders and Executives

Founders can use UNABYSS to stay in the loop across all company functions. For example, you can prompt an AI to "Build a CEO-perspective weekly report" by synthesizing data across Slack, Linear, and Gmail. The AI can identify accomplishments in engineering, GTM priorities, and blockers that need attention without the founder manually gathering reports.

Builders and Engineers

For developers, UNABYSS is a game-changer. Your coding agents (like Cursor or VS Code) gain the full picture of past decisions, repository conventions, and the current state of every repo. It enables high-level tasks like repo scaffolding or infra decision reviews with total accuracy.

Agencies and Client Management

Agencies can maintain clean separation between different clients. Each client's context stays organized, ensuring that AI-generated follow-ups, reports, or strategy documents are always grounded in the specific data of the correct account.

GTM and Sales Teams

Marketing and sales professionals can unify pipeline data, account information, and call notes. This makes writing outreach emails, performance ad tests, and LinkedIn strategies effortless, as the AI understands the nuance of every deal and representative.

How to Use: Connecting UNABYSS to Claude

Integrating UNABYSS into your workflow is a simple process, specifically optimized for tools like Claude:

  1. Connect Claude to Unabyss: Start by signing up and completing the onboarding process directly within the Claude interface.
  2. Add the Connector: Add UNABYSS as a custom connector by pointing Claude at the endpoint: https://mcp.unabyss.com/.
  3. Authorize: Confirm the authorization once. From that point forward, every conversation you have with Claude will pull from your real-time UNABYSS context.

Pricing Plans

UNABYSS offers flexible pricing to suit individual power users and large teams. All plans include a 7-day free trial with no credit card required.

  • Pro Plan ($13/mo billed annually): Ideal for individuals. Includes up to 3 connected agents via MCP, up to 20 connected accounts, and a premium usage tier.
  • Max Plan ($79/mo billed annually): For power users who live in AI. Includes unlimited agents, unlimited connected accounts, unlimited usage, and priority support.
  • Team Plan (Custom Pricing): Designed for teams sharing one context layer. Includes all Max features plus team-wide synchronization.

FAQ

What is UNABYSS, exactly?

UNABYSS is a universal context layer that pulls your information from tools like Slack, Gmail, and GitHub into one structured memory. It uses the Model Context Protocol (MCP) to ensure tools like Claude or ChatGPT can access this memory, eliminating the need to re-explain yourself.

How is UNABYSS different from ChatGPT Memory?

Built-in memory only works inside the specific tool that created it. UNABYSS is a layer you own that reaches every tool you use, including Claude, Cursor, and ChatGPT simultaneously.

How does this differ from a CLAUDE.md or context file?

Context files are static and frozen the moment they are written. UNABYSS is live; it stays connected to your real sources so it never becomes a stale snapshot of your work.

Is my data safe?

Yes. UNABYSS emphasizes that you own your context and decide who sees what. The platform is also currently undergoing SOC 2 Type II certification.

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