# Augenix

- Name: `ai.augenix/build`
- Tier: **Indexed** (Crawled from a public source. No check has passed yet, or a check failed.)
- Latest version: 1.0.0, released 2026-09-03
- Website: https://augenix.ai/mcp
- Trust page: https://mcpvetted.com/t/augenix-build

Free preview websites for local trades, then Stripe Checkout for $29/mo hosting.

## What it can reach

- Network: app.augenix.ai
- Files: none seen
- Accounts and secrets: none seen

## Checks

### qualify: pass
Rules 2026-09-29.1, ran 2026-09-30T03:02:16.816Z.

### static: pass
Rules 2026-09-29.1, ran 2026-09-30T03:02:16.816Z.

### llm_claims: skipped
Rules 2026-09-29.1, ran 2026-09-30T03:02:16.816Z.
- [info] LLM claims check is not configured on this deploy.

## Install

### VS Code
Link: vscode:mcp/install?%7B%22name%22%3A%22build%22%2C%22type%22%3A%22http%22%2C%22url%22%3A%22https%3A%2F%2Fapp.augenix.ai%2Fapi%2Fmcp%2Fpublic%22%7D
```sh
code --add-mcp '{"name":"build","type":"http","url":"https://app.augenix.ai/api/mcp/public"}'
```
```json
{
  "servers": {
    "build": {
      "type": "http",
      "url": "https://app.augenix.ai/api/mcp/public"
    }
  }
}
```
1. Click the link, or run the command.
2. VS Code asks you to confirm the server before it starts.

### Cursor
Link: cursor://anysphere.cursor-deeplink/mcp/install?name=build&config=eyJ1cmwiOiJodHRwczovL2FwcC5hdWdlbml4LmFpL2FwaS9tY3AvcHVibGljIn0%3D
```json
{
  "mcpServers": {
    "build": {
      "url": "https://app.augenix.ai/api/mcp/public"
    }
  }
}
```
1. Click the link to open Cursor.
2. Cursor shows the server and asks you to install it.

### Claude Code
```sh
claude mcp add --transport http build https://app.augenix.ai/api/mcp/public
```
1. Run the command in your terminal.
2. Restart or reload Claude Code if it's already open.

### Claude Desktop
1. Open Settings, then Connectors.
2. Choose Add custom connector.
3. Paste https://app.augenix.ai/api/mcp/public and confirm.

### Claude (web)
1. Open claude.ai, then Settings, then Connectors.
2. Choose Add custom connector.
3. Paste https://app.augenix.ai/api/mcp/public and follow the prompts.