Flakiness Knowledge Graph
MCP server + Playwright reporter that builds a flakiness knowledge graph from test run history
Builds a knowledge graph of flaky tests from Playwright run history
About Flakiness Knowledge Graph
Flakiness Knowledge Graph is a community-built MCP server published by vola-trebla that provides AI assistants with tools and capabilities via the Model Context Protocol. MCP server + Playwright reporter that builds a flakiness knowledge graph from test run history It is categorized under browser automation.
How to install
You can install Flakiness Knowledge Graph in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.
License
Flakiness Knowledge Graph is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.
Alternatives
Related Skills
Browse all skillsUse when writing E2E tests with Playwright, setting up test infrastructure, or debugging flaky browser tests. Invoke for browser automation, E2E tests, Page Object Model, test flakiness, visual testing.
Web testing with Playwright, Vitest, k6. E2E/unit/integration/load/security/visual/a11y testing. Use for test automation, flakiness, Core Web Vitals, mobile gestures, cross-browser.
Query Google NotebookLM for source-grounded, citation-backed answers from uploaded documents. Reduces hallucinations through Gemini's document-only responses. Browser automation with library management and persistent authentication.
Browser automation with persistent page state. Use when users ask to navigate websites, fill forms, take screenshots, extract web data, test web apps, or automate browser workflows. Trigger phrases include "go to [url]", "click on", "fill out the form", "take a screenshot", "scrape", "automate", "test the website", "log into", or any browser interaction request.
Browser automation, debugging, and performance analysis using Puppeteer CLI scripts. Use for automating browsers, taking screenshots, analyzing performance, monitoring network traffic, web scraping, form automation, and JavaScript debugging.
Automate web browser interactions using natural language via CLI commands. Use when the user asks to browse websites, navigate web pages, extract data from websites, take screenshots, fill forms, click buttons, or interact with web applications. Triggers include "browse", "navigate to", "go to website", "extract data from webpage", "screenshot", "web scraping", "fill out form", "click on", "search for on the web". When taking actions be as specific as possible.