OCI MCP Server

Overview

The OCI MCP (Model Context Protocol) Server is a middleware component that enables intelligent cloud resource provisioning on Oracle Cloud Infrastructure (OCI) through a conversational AI interface.

Project Architecture

The system consists of three main components:

1. Conversational AI Chatbot: User-facing interface for natural language interaction
2. MCP Server: Core middleware that processes requests and manages resource provisioning
3. OCI Resource Management Layer: Interfaces with OCI APIs to provision and manage cloud resources

Key Features

• Intelligent analysis of user requirements
• Automated OCI resource recommendation
• Secure provisioning workflow
• Comprehensive error handling

Getting Started

Prerequisites

• Python 3.9+
• Oracle Cloud Infrastructure account
• OCI SDK for Python
• FastAPI
• Docker (optional, for containerized deployment)

Installation

# Clone the repository
git clone <repository-url>
cd oci-mcp-server

# Set up a virtual environment
python -m venv venv
source venv/bin/activate  # On Windows: venv\Scripts\activate

# Install dependencies
pip install -r requirements.txt

# Configure OCI credentials
# Follow instructions in docs/oci-setup.md

Configuration

Copy the example configuration file and update with your settings:

cp config.example.yaml config.yaml
# Edit config.yaml with your specific settings

Running the Server

python src/main.py

Project Structure

oci-mcp-server/
├── src/                  # Source code
│   ├── api/              # API endpoints
│   ├── core/             # Core business logic
│   ├── models/           # Data models
│   ├── services/         # Service integrations
│   └── utils/            # Utility functions
├── tests/                # Test suite
├── docs/                 # Documentation
└── config.yaml           # Configuration

License

MIT License