📊 flakiness-knowledge-graph-mcp

A Playwright custom reporter + MCP server that builds a local flakiness knowledge graph from your test run history. Ask your AI agent which tests are unreliable, on which browser, and whether they're getting worse.

🤔 The Problem

A single Playwright trace tells you what failed right now. It doesn't tell you whether this test has been silently flaking for two weeks, or only fails on Firefox in CI, or is getting slower with every release.

This tool fixes that by accumulating run history into a SQLite database and exposing it to AI agents via MCP.

🛠️ Tools

🚀 Setup

1. Install

npm install -g flakiness-knowledge-graph-mcp

Or build from source:

git clone https://github.com/vola-trebla/flakiness-knowledge-graph-mcp.git
cd flakiness-knowledge-graph-mcp
npm install && npm run build

2. Add the reporter to your Playwright project

// playwright.config.ts
export default defineConfig({
  reporter: [["html"], ["flakiness-knowledge-graph-mcp/reporter", { dbPath: "./flakiness.db" }]],
});

Run your tests normally — the reporter writes every result to flakiness.db automatically.

3. Add the MCP server to your editor

Cursor / VS Code (.cursor/mcp.json or .vscode/mcp.json)

{
  "mcpServers": {
    "flakines

... [View full README on GitHub](https://github.com/vola-trebla/flakiness-knowledge-graph-mcp#readme)