Consolelogs FAQs

Question 1

How does Consolelogs integrate with LLMs?

Accepted Answer

Consolelogs exposes browser console logs and network requests as tools that can be consumed by LLM clients through the Model Context Protocol (MCP). This allows LLMs to understand and react to browser activity.

Question 2

What are the key features of Consolelogs?

Accepted Answer

Key features include opening browsers with Playwright, monitoring and retrieving console logs, tracking network requests, automatically closing the browser, and exposing logs and requests as MCP tools.

Question 3

Where do I see the console logs and network requests?

Accepted Answer

Once Consolelogs is running, open `localhost:3000/dashboard` in your browser to view the console logs and network requests being captured.

Question 4

What is Consolelogs?

Accepted Answer

Consolelogs is an MCP server that uses Playwright to open a browser, monitor console logs, and track network requests. It exposes these capabilities as tools that can be used by MCP clients, especially those interacting with Large Language Models (LLMs).

Question 5

What are the requirements to use Consolelogs?

Accepted Answer

You need Python 3.8+, Playwright, and the Model Context Protocol (MCP) Python SDK to use Consolelogs. See the README for installation instructions.

Consolelogs

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