An MCP-native context layer that syncs a user's working context across more than 50 connected tools including Claude, ChatGPT, Cursor, GitHub, Notion, Slack and Google Drive, so the same background need not be re-explained to each assistant.
Key Features
- Connects over 50 tools
- MCP-native architecture design
- Automatically syncs working context
- Integrates Claude and ChatGPT
- Connects Notion and Slack
Pros
- Saves the hassle of re-explaining background
- Boosts multi-tool collaboration efficiency
- Connects mainstream productivity software
Cons
- Depends on the connection stability of external tools
- Requires learning to set up an MCP environment
Use Cases
- Syncing project background across AI assistants
- Software engineers developing with multiple tools
- Integrating team knowledge bases and chat logs
Editor's Note
It thoroughly solves the memory gap when switching between multiple AI tools, a productivity powerhouse for heavy AI users.
FAQ
Which tools does Unabyss support?
It supports over 50 common tools including Claude, ChatGPT, Cursor, GitHub, Notion, Slack, and Google Drive.
Why do I need Unabyss?
It lets you switch between different AI assistants without re-explaining your project background, saving a lot of time.
How does it work?
Unabyss uses an MCP-native context-layer architecture that automatically syncs your working state and data in the background.