# swAItch

> Use this tool when you need to access and utilize conversation history from various IDEs, such as Cursor and VS Code Copilot, to enhance collaboration and development workflows. swAItch solves the problem of fragmented conversation data by providing a unified interface to read and expose conversation history through MCP tools. It accepts inputs from supported IDEs and outputs conversation data in real-time, making it ideal for use cases that require seamless integration and portability of development conversations.

Canonical page: https://skillsregistry.net/skills/gh-ramraaj25-swaitch  
JSON: https://api.skillsregistry.net/v1/skills/gh-ramraaj25-swaitch

## Description

swAItch is an MCP server that makes IDE conversations portable by reading conversation history from supported IDEs (Cursor, VS Code Copilot) and exposing it through MCP tools. It features an extensible parser system, live file system watching for real-time updates, and zero-configuration auto-detection of installed IDEs.

## Trust

- **Trust score (0–1):** 0.85
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** file-system
- **Updated:** 2026-09-19

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/gh-ramraaj25-swaitch)
- **Repository:** <https://github.com/ramraaj25/swaitch>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "gh-ramraaj25-swaitch"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/gh-ramraaj25-swaitch` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/gh-ramraaj25-swaitch/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt