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ai-agent-book 精选快照(<2MB 代码与文档,来自 github.com/bojieli/ai-agent-book)
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# 🚀 Collaboration Tools MCP Server
> **Start Here** - Complete guide to the Collaboration Tools MCP Server implementation
## 📋 What Is This?
A production-ready Model Context Protocol (MCP) server that provides **19 collaboration tools** for AI agents across 5 categories:
### ✅ Implemented Features
#### 🌐 Browser Automation (5 tools)
- Virtual browser using **browser-use** library (知名虚拟浏览器库)
- Navigate websites, extract content, take screenshots
- AI-powered autonomous browser tasks
- Multi-tab management
#### 👤 Human-in-the-Loop (4 tools)
- Request admin approval for sensitive operations
- Request human input with timeout handling
- Multi-channel admin notifications
- Pending request management
#### 💬 Instant Messaging (3 tools)
- **Telegram** bot integration
- **Slack** webhook messaging
- **Discord** webhook messaging
#### 📧 Email Notifications (1 tool)
- SMTP support (Gmail, etc.)
- SendGrid API support
- HTML emails with attachments
#### ⏰ Timer & Scheduling (5 tools)
- One-time timers
- Recurring timers
- Timer cancellation and management
- Persistent timer storage
- Callback notifications
---
## 🎯 Quick Start
### 1. Installation
```bash
cd projects/week4/collaboration-tools
# Install dependencies
pip install -r requirements.txt
# Install Playwright browsers
playwright install chromium
# Configure environment
cp env.example .env
# Edit .env with your credentials
```
### 2. Run Demo
```bash
# Quick start demo (all tools)
python quickstart.py
# Real-world example
python client_example.py
# Basic tests
python test_basic.py
```
### 3. Start MCP Server
```bash
# Run as MCP server
python src/main.py
# Use with Claude Desktop (add to config)
# See README.md for configuration
```
---
## 📁 Project Structure
```
collaboration-tools/ (Total: 2,331 lines of Python code)
├── 📘 Documentation (80KB total)
│ ├── 00_START_HERE.md ← You are here
│ ├── README.md (6.7KB) Main documentation
│ ├── IMPLEMENTATION.md (7.3KB) Technical details
│ ├── ARCHITECTURE.md (23KB) System architecture
│ ├── USAGE_EXAMPLES.md (14KB) 7+ practical examples
│ └── PROJECT_SUMMARY.md (9.2KB) Project overview
├── 🔧 Configuration
│ ├── requirements.txt 19 dependencies
│ ├── env.example Configuration template
│ └── .gitignore Git ignore patterns
├── 🎯 Demo & Testing
│ ├── quickstart.py (6.1KB) Quick start demo
│ ├── client_example.py (7.2KB) Real-world workflow
│ └── test_basic.py (4.7KB) Basic tests
└── 📦 Source Code (src/)
├── main.py (11KB) MCP server (19 tools)
├── config.py (3.5KB) Configuration management
├── browser_tools.py (8.3KB) Browser automation
├── notification_tools.py (11KB) Email & IM notifications
├── hitl_tools.py (11KB) Human-in-the-loop
└── timer_tools.py (14KB) Timer management
```
---
## 🛠️ Technology Stack
| Component | Technology |
|-----------|-----------|
| **MCP Server** | FastMCP (mcp>=0.9.0) |
| **Browser Automation** | browser-use + Playwright |
| **AI Agent** | LangChain + OpenAI |
| **Email** | aiosmtplib (SMTP) + SendGrid |
| **IM** | httpx (Webhooks) + Telegram Bot API |
| **Async** | asyncio (Python 3.11+) |
| **Config** | Pydantic + python-dotenv |
| **Scheduling** | apscheduler + asyncio |
---
## 📚 Documentation Guide
### For Getting Started
1. **00_START_HERE.md** (this file) - Overview and quick start
2. **README.md** - Installation, configuration, and basic usage
### For Implementation
3. **ARCHITECTURE.md** - System architecture and data flows
4. **IMPLEMENTATION.md** - Technical implementation details
### For Usage
5. **USAGE_EXAMPLES.md** - 7+ practical usage examples
6. **quickstart.py** - Runnable demo of all features
7. **client_example.py** - Real-world workflow example
### For Summary
8. **PROJECT_SUMMARY.md** - Complete project overview
---
## 🎨 Key Features
### 1. Browser Automation with AI
```python
# Autonomous browser task using AI
await mcp_browser_execute_task(
task="Search for AI agent tutorials on Google and extract top 5 results",
max_steps=30
)
```
### 2. Human-in-the-Loop Workflow
```python
# Request approval with timeout
result = await mcp_request_admin_approval(
request_message="Delete 1000 database records?",
urgent=True,
timeout_seconds=300
)
if result["approved"]:
# Proceed with action
perform_deletion()
```
### 3. Multi-Channel Notifications
```python
# Send alert via all channels
await mcp_send_email(to_email="admin@example.com", ...)
await mcp_send_slack_message(message="🚨 Alert!")
await mcp_send_telegram_message(message="Alert!")
await mcp_send_discord_message(message="Alert!")
```
### 4. Timer & Scheduling
```python
# Set timer for delayed execution
timer = await mcp_set_timer(
duration_seconds=3600,
callback_message="Time to check website"
)
# Recurring timer
await mcp_set_recurring_timer(
interval_seconds=300, # Every 5 minutes
max_occurrences=10
)
```
---
## 📊 Statistics
- **Total Files**: 17 (7 Python modules + 10 docs/config)
- **Lines of Code**: 2,331 (Python)
- **Documentation**: ~80KB
- **MCP Tools**: 19 tools across 5 categories
- **Dependencies**: 19 packages
- **Test Coverage**: Basic tests included
---
## 🔐 Security Features
✅ Environment-based configuration (no hardcoded secrets)
✅ .env file excluded from git
✅ Isolated browser user data directory
✅ HITL timeout and multi-channel verification
✅ Graceful error handling throughout
✅ Audit trail for admin approvals
---
## 🚦 Usage Patterns
### Pattern 1: Website Monitoring
```python
navigate screenshot set_recurring_timer notify_via_slack
```
### Pattern 2: Admin Approval Flow
```python
request_approval wait_for_response notify_decision execute_action
```
### Pattern 3: Scheduled Task
```python
set_timer browser_task extract_data send_email_report
```
### Pattern 4: Multi-Channel Alert
```python
critical_event [email, slack, telegram, discord] admin_approval
```
---
## 📖 Next Steps
### To Use This Project:
1. **Read Documentation**
- Start with `README.md` for setup
- Check `USAGE_EXAMPLES.md` for practical examples
- Review `ARCHITECTURE.md` for technical details
2. **Configure Environment**
- Copy `env.example` to `.env`
- Add your API keys and credentials
- Configure notification channels
3. **Run Demos**
- `python quickstart.py` - See all tools in action
- `python client_example.py` - Real-world workflow
- `python test_basic.py` - Verify installation
4. **Start Using**
- Run as MCP server: `python src/main.py`
- Use with Claude Desktop or custom client
- Integrate into your AI agent application
### To Extend This Project:
1. **Add New Tools**: Create new functions in existing modules
2. **Add New Channels**: Extend `notification_tools.py`
3. **Add Storage**: Replace in-memory state with database
4. **Add Dashboard**: Build web UI for admin management
5. **Add Analytics**: Track tool usage and performance
---
## 🆘 Troubleshooting
### Browser Issues
```bash
# Reinstall Playwright
playwright install chromium --force
```
### Email Issues
- Use Gmail App Passwords (not regular password)
- Check SMTP port and host settings
### Import Errors
```bash
# Reinstall dependencies
pip install -r requirements.txt --force-reinstall
```
### Permission Issues
```bash
# Ensure config directory is writable
mkdir -p ~/.config/collaboration-tools
chmod 755 ~/.config/collaboration-tools
```
---
## 📞 Support
- **Documentation**: Check all .md files in this directory
- **Examples**: See `quickstart.py` and `client_example.py`
- **Tests**: Run `test_basic.py` to verify functionality
- **Issues**: Review error messages and logs
---
## 🎓 Learning Path
1. **Beginner**: Run `quickstart.py` and read `README.md`
2. **Intermediate**: Study `USAGE_EXAMPLES.md` and modify examples
3. **Advanced**: Review `ARCHITECTURE.md` and extend functionality
---
## ✅ Implementation Checklist
✅ Virtual browser (browser-use library)
✅ Human-in-the-loop tools
✅ IM notifications (Telegram, Slack, Discord)
✅ Email notifications (SMTP + SendGrid)
✅ Timer and scheduling tools
✅ Configuration management
✅ Error handling and logging
✅ Comprehensive documentation
✅ Working examples and demos
✅ Basic test suite
✅ Clean architecture
✅ Production-ready code
---
## 🌟 Highlights
- **Production-Ready**: Comprehensive error handling and logging
- **Well-Documented**: 80KB+ of documentation
- **Modular Design**: Easy to extend and maintain
- **Real Examples**: Working demos and use cases
- **Best Practices**: SOLID principles, clean code, async patterns
---
## 📝 License
MIT License - See project root for details
---
**Ready to start?** → Continue to `README.md` for detailed setup instructions!