MCP AI Chat Server
A Laravel-based AI-powered chat interface for business management operations, enabling users to execute tasks like creating customers and updating task statuses through natural language conversations.
README
MCP AI Chat Server
A Laravel-based AI-powered chat interface for business management operations using natural language processing and tool calling.
🎯 Overview
The MCP AI Chat Server enables users to interact with business data through natural language conversations. It leverages OpenAI's function calling capabilities to:
- Analyze user intent from natural language input
- Extract parameters automatically
- Execute appropriate business operations via MCP tools
- Return human-friendly responses
✨ Features
- Natural Language Processing: Understands Indonesian and English business queries
- AI-Powered Tool Calling: Uses OpenAI GPT models for intelligent function selection
- Rule-Based Fallback: Graceful degradation when AI services are unavailable
- Real-time Chat Interface: Web-based chat UI with session management
- Comprehensive Logging: Tracks all interactions and tool executions
- RESTful API: Programmatic access to chat functionality
- Multi-Provider Support: OpenAI and OpenRouter integration
🛠️ Available Tools
| Tool | Description | Parameters |
|---|---|---|
create_customer |
Create new customer records | name, email, phone |
get_user |
Retrieve user by email | |
search_tasks |
Find tasks by status/user | status, assigned_to |
update_task_status |
Change task status | task_id, status |
get_overdue_customers |
Find inactive customers | days |
🚀 Quick Start
Prerequisites
- PHP 8.1+
- Composer
- Node.js & npm (for frontend assets)
- Database (MySQL/PostgreSQL/SQLite)
Installation
-
Clone and install dependencies:
git clone <repository-url> cd mcp-server composer install npm install -
Environment setup:
cp .env.example .env php artisan key:generate -
Configure environment variables:
# Database DB_CONNECTION=mysql DB_HOST=127.0.0.1 DB_PORT=3306 DB_DATABASE=mcp_chat DB_USERNAME=your_username DB_PASSWORD=your_password # AI Providers AI_PROVIDER=openai # or 'openrouter' OPENAI_API_KEY=your-openai-api-key OPENROUTER_API_KEY=your-openrouter-api-key # MCP Authentication MCP_VALID_KEYS=your-secret-key-here -
Database setup:
php artisan migrate php artisan db:seed # Optional: seed sample data -
Build assets:
npm run build -
Start the server:
php artisan serve -
Access the application:
- Chat Interface: http://localhost:8000/chat
- API Documentation: http://localhost:8000/api/documentation
💬 Usage Examples
Web Interface
Visit /chat to use the interactive chat interface with example message buttons.
API Usage
Send Chat Message
curl -X POST "http://localhost:8000/api/mcp/chat" \
-H "Content-Type: application/json" \
-H "X-MCP-Key: your-mcp-key" \
-d '{
"message": "Buatkan customer baru dengan nama John Doe, email john@example.com",
"session_id": "optional-session-id"
}'
Response
{
"reply": "Customer 'John Doe' berhasil dibuat dengan ID 1.",
"executed_tool": "create_customer",
"arguments": {
"name": "John Doe",
"email": "john@example.com"
},
"result": {
"id": 1,
"name": "John Doe",
"email": "john@example.com"
},
"status": "success"
}
Example Conversations
Creating a customer:
User: Buatkan user baru dengan nama Andi, email andi@gmail.com
AI: Customer 'Andi' berhasil dibuat dengan ID 5.
Updating task status:
User: Update status task nomor 1 menjadi completed
AI: Status task ID 1 berhasil diubah menjadi 'completed'.
Finding overdue customers:
User: Tampilkan customer yang belum dihubungi lebih dari 30 hari
AI: Ditemukan 3 customer yang belum dihubungi lebih dari 30 hari.
📡 API Endpoints
| Method | Endpoint | Description |
|---|---|---|
| POST | /api/mcp/chat |
Send chat message |
| GET | /api/mcp/chat/history |
Get conversation history |
| DELETE | /api/mcp/chat/history |
Clear conversation history |
Authentication
All API endpoints require the X-MCP-Key header with a valid key from MCP_VALID_KEYS.
🔧 Configuration
AI Providers
Choose between OpenAI and OpenRouter by setting AI_PROVIDER:
- OpenAI: More reliable, requires API key
- OpenRouter: Alternative provider, supports multiple models
Environment Variables
| Variable | Description | Default |
|---|---|---|
AI_PROVIDER |
AI service provider | openai |
OPENAI_API_KEY |
OpenAI API key | - |
OPENROUTER_API_KEY |
OpenRouter API key | - |
MCP_VALID_KEYS |
Comma-separated API keys | - |
DB_CONNECTION |
Database connection | mysql |
🏗️ Architecture
Core Components
- AgentService: Main AI processing logic
- ToolRegistry: Manages available MCP tools
- MCP Tools: Individual business operation handlers
- ChatController: Web interface and API endpoints
- Logging: Comprehensive interaction tracking
Data Flow
- User sends message via API or web interface
- AgentService analyzes intent using AI or rule-based logic
- Appropriate tool is selected and executed
- Results are formatted into human-readable response
- Interaction is logged for analytics
🔒 Security
- API key authentication for all endpoints
- Input validation and sanitization
- Rate limiting on chat endpoints
- Comprehensive error handling
- No sensitive data exposure in responses
📊 Monitoring
All interactions are logged in the mcp_command_logs table including:
- User messages and AI responses
- Executed tools and parameters
- Success/failure status
- Session tracking
- IP addresses and metadata
🧪 Testing
Run the test suite:
php artisan test
🤝 Contributing
- Fork the repository
- Create a feature branch
- Make your changes
- Add tests if applicable
- Submit a pull request
📄 License
This project is licensed under the MIT License - see the LICENSE file for details.
🆘 Support
For issues and questions:
- Check the logs in
storage/logs/laravel.log - Review
mcp_command_logstable for interaction details - Ensure API keys are properly configured
📚 Additional Resources
- Laravel Documentation
- OpenAI Function Calling
- OpenRouter API</content> <filePath>README.md
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