Colab FAQs

Question 1

How does Colab prevent context loss between AI tools?

Accepted Answer

It centralizes your coding data, exposing chat logs, terminal history, and IDE events as shared resources. This allows your AI assistant to automatically access prior work and conversations, eliminating the need to re-explain your progress.

Question 2

What types of context can Colab share?

Accepted Answer

Colab can share comprehensive context, including chat transcripts from previous sessions, terminal command history, IDE events, and even provides search capabilities across all logs and generates session summaries.

Question 3

How easy is it to set up Colab MCP?

Accepted Answer

Setup is designed to be fast and simple. After a `pip install colab-mcp`, an interactive installer (`sudo colab-mcp-install`) automates the configuration for your detected AI coding tools.

Question 4

Which AI coding assistants are supported by Colab?

Accepted Answer

Colab MCP supports major AI coding tools including Claude Code, Cursor, Codex, and Gemini, ensuring broad compatibility for developers.

Question 5

What is Colab MCP?

Accepted Answer

Colab MCP is a Model Context Protocol (MCP) server designed to enable AI coding assistants (like Claude Code, Cursor, Codex, Gemini) to seamlessly share context, chat logs, and session history, preventing information loss when switching tools.

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