swAItch FAQs

Question 1

How does swAItch help me avoid losing AI conversation context?

Accepted Answer

swAItch reads your conversation history from supported IDEs (like Cursor) and exposes it as standardized MCP tools. This allows any MCP-compatible AI client to access, retrieve, and continue previous discussions, regardless of where they originated.

Question 2

Is swAItch difficult to set up or configure?

Accepted Answer

No, swAItch is designed for zero-config operation. It automatically detects installed IDEs and their conversation data. Installation and execution are simple with a single command: `pip install swaitch && swaitch`.

Question 3

Which IDEs and coding assistants does swAItch support?

Accepted Answer

Currently, swAItch fully supports Cursor. Support for VS Code Copilot and Codex is on the roadmap. Its extensible, plugin-style parser system allows developers to easily add support for new IDEs.

Question 4

What is the Model Context Protocol (MCP) and why is it important for swAItch?

Accepted Answer

MCP is a protocol that allows AI clients to interact with various context sources. swAItch is built as an MCP-native server, ensuring broad compatibility with any MCP client (like Cursor or Claude Desktop) and enabling seamless integration into your AI-powered workflows.

Question 5

What is swAItch?

Accepted Answer

swAItch is an MCP (Model Context Protocol) server designed to bridge AI conversation context across different coding assistants and IDEs. It makes your AI discussions portable, so you never lose context when switching development environments.

swAItch

swAItch

主要功能

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主要功能

使用案例