Why this server?

Enables AI agents to control web browsers via a standardized interface for operations like launching, interacting with, and closing browsers. This is essential for accessing a browser for web application debugging.

Why this server?

Opens a browser to monitor and retrieve console logs and network requests, providing structured data about web page behavior to LLMs. This facilitates debugging by allowing access to dev tools information.

Why this server?

Allows your LLM to list resources, update/create/delete them, fix errors (by looking at the logs), fix security issues. In a lot of cases, using the CLI is how debuging is done for web applications.

Why this server?

Provides cloud browser automation capabilities using Browserbase, Puppeteer, and Stagehand, useful for debugging in a controlled environment.

Why this server?

Enables AI agents to interact with web browsers using natural language, featuring automated browsing, form filling, vision-based element detection, and structured JSON responses which are all important for debugging in development.

Why this server?

Enables LLMs to interact with web pages, take screenshots, and execute JavaScript in a real browser environment. JavaScript execution is key for debugging

Why this server?

A server that enables AI assistants like Claude to safely run Python code and access websites, processing data for better AI understanding while providing helpful error messages.

Why this server?

Provides safeguards and limiting operations/imports that are allowed inside the runtime while allowing access to Python which can help with debugging web applications.

Why this server?

provides advanced database operations, schema management, and data manipulation for debugging web applications

Why this server?

A GDB/MI protocol server based on the MCP protocol, providing remote application debugging capabilities.