kairo

kairo

Autonomously analyzes projects, generates Playwright tests via OpenAI, runs them, classifies failures, and recommends fixes, iterating up to 3 times.

Category
Visit Server

README

Kairo

Kairo is an MCP server that closes the loop between code generation and test verification.

It autonomously analyzes a project → generates Playwright tests via OpenAI → runs them → classifies failures → recommends fixes — iterating up to 3 times.

How it works

analyze → generate tests → run → classify → fix → rerun (max 3x)

Exit conditions: all pass · iteration 3 reached · only flaky/env failures · app unresponsive

Install

npm install -g @kairo/mcp

Or use via npx (no install needed):

{
  "mcpServers": {
    "kairo": {
      "command": "npx",
      "args": ["-y", "@kairo/mcp"],
      "env": {
        "OPENAI_API_KEY": "sk-..."
      }
    }
  }
}

MCP Tools

Tool Description
analyze_project Detect stack, routes, endpoints, auth strategy
generate_tests Generate Playwright tests via OpenAI
run_tests Execute with double-run flakiness detection
classify_failures bug / flaky / env / security
get_fixes Fix recommendations with confidence levels

Dashboard

Start the API:

cd apps/api && pnpm dev

Start the dashboard:

cd apps/dashboard && pnpm dev
# → http://localhost:5173

Development

pnpm install
pnpm typecheck     # typecheck all packages
pnpm build         # build all packages
pnpm test          # run all tests

Environment Variables

Variable Required Description
OPENAI_API_KEY Yes OpenAI API key for test generation and fix recommendations
DATABASE_URL No SQLite path (default: ./kairo.db)
PORT No API port (default: 3000)

Stack

  • packages/analyzer — Project analysis (stack, routes, auth)
  • packages/generator — OpenAI-powered test generation
  • packages/runner — Playwright executor with double-run
  • packages/classifier — Deterministic failure classification
  • packages/fixer — OpenAI fix recommendations
  • packages/mcp — MCP server + orchestration loop
  • apps/api — Express REST API + SQLite
  • apps/dashboard — React + Vite + HeroUI dashboard

Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Official
Featured
Local
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
graphlit-mcp-server

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official
Featured
TypeScript
Kagi MCP Server

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official
Featured
Python
E2B

E2B

Using MCP to run code via e2b.

Official
Featured
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
Exa Search

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official
Featured
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured