FastHTTP-MCP Client is a modular Python project that implements an asynchronous HTTP client architecture with integrated MCP (Model Context Protocol) communication support.
The project demonstrates clean separation of concerns, structured logging, and extensible client design for interacting with HTTP-based services and MCP backends.
- ⚡ Asynchronous HTTP communication
- 🔌 MCP client integration
- 🧱 Modular architecture
- 📝 Centralized logging configuration
- 🧪 Example usage script
- 🔄 Extensible client abstraction
| Component | Technology |
|---|---|
| Language | Python 3.10+ |
| Async Framework | asyncio |
| Protocol Layer | MCP (Model Context Protocol) |
| HTTP Handling | Custom HTTP Client |
| Logging | Python logging module |
The project follows a layered, modular design:
- HTTP Client Layer – Handles HTTP-based communication
- FastMCP Client Layer – Wraps MCP protocol interactions
- Logging Layer – Centralized logging configuration
- Example Script – Demonstrates usage and integration
The architecture separates transport logic from protocol logic:
Application Layer (example.py)
↓
Protocol Layer (fastmcp_client.py)
↓
Transport Layer (http_client.py)
↓
External HTTP / MCP Service
This design ensures:
- Clear separation of responsibilities
- Easier testing & debugging
- Reusability of transport logic
- Extensibility for additional protocols
└── http_client
├── .gitignore
├── README.md
├── __init__.py
├── example.py
├── fastmcp_client.py
├── http_client.py
├── logging_setup.py
└── requirements.txt
http_client.py → Core asynchronous HTTP communication logic
fastmcp_client.py → MCP-specific client abstraction
logging_setup.py → Centralized logging configuration
example.py → Example entry point demonstrating usage
__init__.py → Package initialization
requirements.txt → Project dependencies
- Python 3.10+
- pip
-
Clone the repository
git clone git@github.com:acai10/FastHTTP-MCP-Client-Async-Python-HTTP-Client-for-MCP-Tests.git cd http_client -
Install dependencies
pip install -r requirements.txt -
Run the example
python example.py
This project explores:
- Asynchronous programming in Python
- Clean client abstraction patterns
- Structured logging configuration
- Protocol-to-transport separation
- Building reusable backend communication modules
It is particularly suited for backend communication systems, AI service integration, or microservice-based architectures.
- Retry & timeout handling strategies
- Typed request/response schemas
- Integration tests
- Environment-based configuration
- Support for additional protocols
- Packaging as installable Python module
This project is designed as a clean architectural example of:
- Layered client design
- Separation of transport and protocol logic
- Async I/O in Python
- Structured logging in production-style applications
This project is a technical and educational implementation.
It is not production-hardened and should be extended with proper error handling, security measures, and validation before being used in a production environment.