Browser Tools MCP provides web browsing capabilities for AI assistants through the @agentdeskai/browser-tools-mcp package. It runs as a Node.js application in a Docker container, configurable via smithery.yaml to adjust port settings and log levels. The implementation uses a non-root user for security and supports both standard and Server-Sent Events (SSE) communication modes. This tool enables AI models to interact with web content, making it valuable for workflows requiring web scraping, content analysis, or automated browsing tasks.
아직 리뷰가 없습니다. 첫 번째 리뷰를 작성해 보세요!
대화에 참여하려면 로그인하세요
Highlight AIRetrieves console output, filterable by keyword with paging.
Retrieves error-level output and uncaught exceptions.
Retrieves XHR/fetch requests with status, timing, and bodies.
Retrieves only failed and 4xx/5xx requests.
Retrieves the element selected in the Elements panel.
Retrieves information about which page the browser is currently on.
Checks whether the extension is connected and provides capture counts.
Lists every tab with DevTools open, providing the id to address it by.
Captures a screenshot and returns it as an image, along with its file path.
Reloads the inspected tab.
Retrieves localStorage, sessionStorage, and cookies (values gated).
Clears captured telemetry before a clean reproduction.
Performs a Lighthouse accessibility audit.
Conducts a Lighthouse performance audit with Core Web Vitals.
Executes a Lighthouse SEO audit.
Conducts a Lighthouse best-practices audit.
