# Debugg AI — MCP Server
AI-powered browser testing via the [Model Context Protocol](https://modelcontextprotocol.io). Point it at any URL (or localhost) and describe what to test — an AI agent browses your app and returns pass/fail with screenshots.
<a href="https://glama.ai/mcp/servers/@debugg-ai/debugg-ai-mcp">
<img width="380" height="200" src="https://glama.ai/mcp/servers/@debugg-ai/debugg-ai-mcp/badge" alt="Debugg AI MCP server" />
</a>
## Setup
Get an API key at [debugg.ai](https://debugg.ai), then add to your MCP client config:
```json
{
"mcpServers": {
"debugg-ai": {
"command": "npx",
"args": ["-y", "@debugg-ai/debugg-ai-mcp"],
"env": {
"DEBUGGAI_API_KEY": "your_api_key_here"
}
}
}
}
```
Or with Docker:
```bash
docker run -i --rm --init -e DEBUGGAI_API_KEY=your_api_key quinnosha/debugg-ai-mcp
```
## `check_app_in_browser`
Runs an AI browser agent against your app. The agent navigates, interacts, and reports back with screenshots.
| Parameter | Type | Description |
|-----------|------|-------------|
| `description` | string **required** | What to test (natural language) |
| `url` | string | Target URL — required if `localPort` not set |
| `localPort` | number | Local dev server port — tunnel created automatically |
| `environmentId` | string | UUID of a specific environment |
| `credentialId` | string | UUID of a specific credential |
| `credentialRole` | string | Pick a credential by role (e.g. `admin`, `guest`) |
| `username` | string | Username for login |
| `password` | string | Password for login |
## Configuration
```bash
DEBUGGAI_API_KEY=your_api_key
```
## Local Development
```bash
npm install && npm test && npm run build
```
## Links
[Dashboard](https://app.debugg.ai) · [Docs](https://debugg.ai/docs) · [Issues](https://github.com/debugg-ai/debugg-ai-mcp/issues) · [Discord](https://debugg.ai/discord)
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