Python Project
This is a Python project template with a basic structure.
Project Structure
Setup
- Create a virtual environment (recommended):
- Install dependencies:
Running the Project
To run the project:
Development
- Add your Python code in the
src
directory - Add new dependencies to
requirements.txt
- Update this README as needed
MCP Server with Oracle Database Integration
This is a Message Control Protocol (MCP) server implementation that provides a REST API for message handling with Oracle Database integration using ODBC.
Prerequisites
- Python 3.8 or higher
- Oracle Client installed and configured
- ODBC Driver for Oracle installed
Installation
- Clone the repository
- Install the required dependencies:
- Configure the database connection:
- Update the database settings in
config.py
- Make sure your Oracle ODBC driver is properly configured
- Update the database settings in
Database Setup
Create the messages table in your Oracle database:
Running the Server
Start the server with:
The server will start on http://localhost:8000 by default.
API Endpoints
POST /messages/
- Create a new messageGET /messages/
- Retrieve all messagesGET /health
- Health check endpoint
API Documentation
Once the server is running, you can access the interactive API documentation at:
- Swagger UI: http://localhost:8000/docs
- ReDoc: http://localhost:8000/redoc
Example Usage
Create a new message:
Get all messages:
Error Handling
The server includes comprehensive error handling for:
- Database connection issues
- Query execution errors
- Invalid input data
- Server health monitoring
Security Considerations
- Update the default configuration in
config.py
with your secure credentials - Consider implementing authentication and authorization
- Use HTTPS in production
- Implement rate limiting for production use
This server cannot be installed
hybrid server
The server is able to function both locally and remotely, depending on the configuration or use case.
A REST API server implementation for message handling with Oracle Database integration via ODBC, offering endpoints for creating and retrieving messages with comprehensive error handling.
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