🤖 AI Customer Support Bot - MCP Server
A modern, extensible MCP server framework for building AI-powered customer support systems
Features • Quick Start • API Reference • Architecture • Contributing
🌟 Overview
A Model Context Protocol (MCP) compliant server framework built with modern Python. Designed for developers who want to create intelligent customer support systems without vendor lock-in. Clean architecture, battle-tested patterns, and ready for any AI provider.
✨ Features
🏗️ Clean Architecture
Layered design with clear separation of concerns
📡 MCP Compliant
Full Model Context Protocol implementation
🔒 Production Ready
Auth, rate limiting, monitoring included
🚀 High Performance
Built on FastAPI with async support
🔌 AI Agnostic
Integrate any AI provider easily
📊 Health Monitoring
Comprehensive metrics and diagnostics
🛡️ Secure by Default
Token auth and input validation
📦 Batch Processing
Handle multiple queries efficiently
🚀 Quick Start
Prerequisites
- Python 3.8+
- PostgreSQL
- Your favorite AI service (OpenAI, Anthropic, etc.)
Installation
Configuration
Run
📡 API Reference
Health Check
Process Single Query
Batch Processing
Success Response
Error Response
🏗️ Architecture
Project Structure
Layer Responsibilities
Layer | Purpose | Components |
---|---|---|
API | HTTP endpoints, validation | FastAPI routes, Pydantic models |
Middleware | Auth, rate limiting, logging | Token validation, request throttling |
Service | Business logic, AI integration | Context management, AI orchestration |
Data | Persistence, models | PostgreSQL, SQLAlchemy ORM |
🔌 Extending with AI Services
Add Your AI Provider
- Install your AI SDK:
- Configure environment:
- Implement service integration:
🔧 Development
Running Tests
Code Quality
Docker Support
📊 Monitoring & Observability
Health Metrics
- ✅ Service uptime
- 🔗 Database connectivity
- 📈 Request rates
- ⏱️ Response times
- 💾 Memory usage
Logging
🔒 Security
Built-in Security Features
- 🔐 Token Authentication - Secure API access
- 🛡️ Rate Limiting - DoS protection
- ✅ Input Validation - SQL injection prevention
- 📝 Audit Logging - Request tracking
- 🔒 Environment Secrets - Secure config management
🚀 Deployment
Environment Setup
Scaling Considerations
- Use connection pooling for database
- Implement Redis for rate limiting in multi-instance setups
- Add load balancer for high availability
- Monitor with Prometheus/Grafana
🤝 Contributing
We love contributions! Here's how to get started:
Development Setup
Contribution Guidelines
- 📝 Write tests for new features
- 📚 Update documentation
- 🎨 Follow existing code style
- ✅ Ensure CI passes
📄 License
This project is licensed under the MIT License - see the LICENSE file for details.
Built with ❤️ by Chirag Patankar
⭐ Star this repo if you find it helpful! ⭐
This server cannot be installed
remote-capable server
The server can be hosted and run remotely because it primarily relies on remote services or has no dependency on the local environment.
模型上下文协议 (MCP) 服务器使用 Cursor AI 和 Glama.ai 集成提供 AI 驱动的客户支持。
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