BarrHawk

BarrHawk

Enables automated end-to-end testing and verification of web applications through natural language, with self-healing selectors and dual-mode execution.

Category
访问服务器

README

BARRHAWK: VERIFY YOUR VIBECODE

The Operating System for Agentic Verification & Orchestration

██████╗  █████╗ ██████╗ ██████╗ ██╗  ██╗ █████╗ ██╗    ██╗██╗  ██╗
██╔══██╗██╔══██╗██╔══██╗██╔══██╗██║  ██║██╔══██╗██║    ██║██║ ██╔╝
██████╔╝███████║██████╔╝██████╔╝███████║███████║██║ █╗ ██║█████╔╝
██╔══██╗██╔══██║██╔══██╗██╔══██╗██╔══██║██╔══██║██║███╗██║██╔═██╗
██████╔╝██║  ██║██║  ██║██║  ██║██║  ██║██║  ██║╚███╔███╔╝██║  ██╗
╚═════╝ ╚═╝  ╚═╝╚═╝  ╚═╝╚═╝  ╚═╝╚═╝  ╚═╝╚═╝  ╚═╝ ╚══╝╚══╝ ╚═╝  ╚═╝
                                            v0.5.0 | TRIPARTITE RELEASE

"If your Agent can't test itself, it's just a hallucination."


What's New in v0.5.0

  • Unified Stack - Single command bun run barrhawk starts everything
  • Integrated Dashboard - Live monitoring at http://localhost:7000/dashboard
  • Experience System - Self-healing selectors that learn across sessions
  • Tool Injection - New tools broadcast to running Igors in real-time
  • Lightning Strike - Igor auto-escalates to Claude when stuck
  • Hub Mode - Multi-Igor test orchestration with --hub flag

Quick Start

# 1. Clone and install
git clone git@github.com:barrhawk/barrhawk_premium_e2e_mcp.git
cd barrhawk_premium_e2e_mcp
bun install

# 2. Start the stack
bun run barrhawk

# 3. Submit a test
curl -X POST http://localhost:7001/plan \
  -H "Content-Type: application/json" \
  -d '{"intent":"take a screenshot of the homepage","url":"https://example.com"}'

Stack Modes

bun run barrhawk           # Full tripartite stack (Bridge, Doctor, Igor, Frank)
bun run barrhawk --minimal # Just Bridge + Igor (lightweight)
bun run barrhawk --hub     # Full stack + Test Orchestration Hub

The Tripartite Architecture

Four specialized servers communicating via WebSocket:

Component Port Role
Bridge 7000 Message bus, circuit breakers, dashboard
Doctor 7001 Planner, intent parser, experience engine
Igor 7002 Executor, Lightning Strike dual-mode
Frankenstein 7003 Browser control, dynamic tool forge

How It Works

  1. You send an intent to Doctor: "test the login flow"
  2. Doctor consults experience, generates a plan, selects tools
  3. Igor executes the plan step-by-step
  4. Frankenstein controls the browser, takes screenshots
  5. Experience records what worked for next time

Lightning Strike (Dual-Mode Igor)

Igor starts in "dumb mode" - fast, regex-based execution. When a step fails 3 times, Igor "strikes" - elevating to full Claude reasoning to solve the problem, then powers back down.


Endpoints

Doctor (Port 7001)

# Submit a plan
POST /plan
{"intent": "click the login button", "url": "https://example.com"}

# Check plan status
GET /plans
GET /plans/:id

Bridge (Port 7000)

# Health check
GET /health

# Live dashboard
GET /dashboard

Igor (Port 7002)

# Status
GET /status
GET /health

# Current tool bag
GET /toolbag

Frankenstein (Port 7003)

# Health and tools
GET /health
GET /tools

Project Structure

/
├── bin/barrhawk.ts          # CLI entry point
├── tripartite/              # The Core Stack
│   ├── bridge/              # Message Bus + Dashboard (7000)
│   ├── doctor/              # Planner + Swarm Logic (7001)
│   ├── igor/                # Executor + Lightning (7002)
│   ├── frankenstein/        # Browser + Tool Forge (7003)
│   └── shared/              # Common utilities
│       ├── experience.ts    # Learning system
│       ├── tool-registry.ts # 120+ tool definitions
│       └── types.ts         # Shared types
├── hub/                     # Test Orchestration (--hub mode)
│   ├── index.ts             # Hub API (7010)
│   ├── coordinator.ts       # Multi-Igor sync (7011)
│   └── igor-db.ts           # Database watcher (7012)
├── packages/                # Feature modules
│   ├── golden/              # Visual regression
│   ├── self-heal/           # Selector strategies
│   └── ...                  # 30+ packages
└── docs/                    # Documentation
    └── specs/               # Component specifications

MCP Integration

BarrHawk exposes MCP tools for Claude Code, Cursor, and other AI assistants.

Configure Claude Code

./scripts/generate-mcp-configs.sh

Key Tools

// Natural language automation
frank_execute({ task: "Log into github.com", url: "https://github.com" })

// Parallel testing
frank_swarm_execute({ intent: "Test checkout flow", maxIgors: 4 })

// OS-level control (extensions, dialogs)
frank_os_mouse({ action: "click", x: 100, y: 200 })
frank_os_keyboard({ combo: "ctrl+shift+i" })

// Screenshots
frank_screenshot({ fullPage: true })

Experience System

BarrHawk learns from every test run:

  • Selectors: Which CSS selectors work for which elements
  • Timings: How long actions typically take per site
  • Errors: Common error patterns and their fixes
  • Sites: Known site patterns with pre-mapped selectors

Data stored in experiencegained/experience.json (configurable via EXPERIENCE_DIR).


Development

# Run tests
bun test

# Type check
bun run typecheck

# View logs
tail -f /tmp/tripartite-*.log

License

MIT


"Trust, but Verify." — BarrHawk

推荐服务器

Baidu Map

Baidu Map

百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。

官方
精选
JavaScript
Playwright MCP Server

Playwright MCP Server

一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。

官方
精选
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。

官方
精选
本地
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。

官方
精选
本地
TypeScript
VeyraX

VeyraX

一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。

官方
精选
本地
graphlit-mcp-server

graphlit-mcp-server

模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。

官方
精选
TypeScript
Kagi MCP Server

Kagi MCP Server

一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。

官方
精选
Python
e2b-mcp-server

e2b-mcp-server

使用 MCP 通过 e2b 运行代码。

官方
精选
Neon MCP Server

Neon MCP Server

用于与 Neon 管理 API 和数据库交互的 MCP 服务器

官方
精选
Exa MCP Server

Exa MCP Server

模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。

官方
精选