Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@Message Control Protocol (MCP) Servercreate a new message with content 'Meeting scheduled for 2 PM' and priority 2"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Python Project
This is a Python project template with a basic structure.
Project Structure
Related MCP server: Ollama_MCP_Guidance
Setup
Create a virtual environment (recommended):
python -m venv venv source venv/bin/activate # On Windows: venv\Scripts\activateInstall dependencies:
pip install -r requirements.txt
Running the Project
To run the project:
Development
Add your Python code in the
srcdirectoryAdd new dependencies to
requirements.txtUpdate 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.pyMake sure your Oracle ODBC driver is properly configured
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.pywith your secure credentialsConsider implementing authentication and authorization
Use HTTPS in production
Implement rate limiting for production use