Consolelogs
CreatedLumeva-AI
Monitors browser console logs and network requests using Playwright, exposing them as Model Context Protocol (MCP) tools.
About
Consolelogs leverages Playwright to provide a browser automation environment that captures detailed console logs and tracks network requests. Acting as a Model Context Protocol (MCP) server, it offers these capabilities as tools accessible to MCP clients. This allows Large Language Models to interact with browser environments and receive real-time feedback on application behavior.
Key Features
- Opens a browser at a specified URL using Playwright.
- Closes the browser when processing is complete.
- Tracks and retrieves network requests made by the browser.
- 2 GitHub stars
- Monitors and retrieves console logs from the browser.
- Exposes console logs and network requests as tools consumable by MCP clients.
Use Cases
- Integrating browser-based interactions into LLM workflows.
- Debugging web applications within an LLM-controlled environment.
- Analyzing network traffic patterns during automated browser interactions.