Debugg AI MCP
OfficialThe Debugg AI MCP Server is an AI-driven browser automation and end-to-end testing tool that offers:
Natural Language Testing: Run UI tests by describing features or flows in plain language
Local Application Support: Test web applications running on
localhostportsMCP Protocol Integration: Seamlessly connect with AI agents and MCP-compatible clients
Real-Time Updates: Receive step-by-step notifications during test execution
Visual Verification: Capture screenshots of the final page state
Zero Configuration: Eliminate the need for local browser or Playwright setup
CI/CD Compatibility: Access historical test results for pipeline integration
Secure Remote Execution: Use managed browsers via secure tunnels
Deployment Options: Quick setup via NPX or Docker for local and remote use
Provides Docker container deployment option for running the MCP server with configurable environment variables
Integrates with GitHub repositories for testing web applications, with support for specifying repo name and branch information
Compatible with LangChain agents as MCP clients for browser automation and end-to-end testing
Available as an npm package (@debugg-ai/debugg-ai-mcp) for easy installation and integration
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@Debugg AI MCPtest the login flow on my app running on port 3000"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Debugg AI — MCP Server
AI-powered browser testing via the Model Context Protocol. Point it at any URL (or localhost) and describe what to test — an AI agent browses your app and returns pass/fail with screenshots.
Setup
Get an API key at debugg.ai, then add to your MCP client config:
{
"mcpServers": {
"debugg-ai": {
"command": "npx",
"args": ["-y", "@debugg-ai/debugg-ai-mcp"],
"env": {
"DEBUGGAI_API_KEY": "your_api_key_here"
}
}
}
}Or with Docker:
docker run -i --rm --init -e DEBUGGAI_API_KEY=your_api_key quinnosha/debugg-ai-mcpRelated MCP server: DevDb MCP Server
check_app_in_browser
Runs an AI browser agent against your app. The agent navigates, interacts, and reports back with screenshots.
Parameter | Type | Description |
| string required | What to test (natural language) |
| string | Target URL — required if |
| number | Local dev server port — tunnel created automatically |
| string | UUID of a specific environment |
| string | UUID of a specific credential |
| string | Pick a credential by role (e.g. |
| string | Username for login |
| string | Password for login |
Configuration
DEBUGGAI_API_KEY=your_api_keyLocal Development
npm install && npm test && npm run buildLinks
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