# MCPO Project

This repository contains the source code, configuration files, and deployment instructions for a project that uses Docker, Kubernetes, and the `mcpo` tool to manage mulitiple MCP (Multi-Component Protocol) service.

## Overview

The project sets up:
- A Docker container running the `mcpo` tool with configuration from `mcpo_config.json`
- A Kubernetes deployment for the Gitea MCP application
- Services and pods to manage the application's networking and lifecycle

## Key Components

### Docker
- **Dockerfile**: Builds a container with Python dependencies and the `mcpo` tool
- **gitea_mcp_set.sh**: Script to configure gitea_mcp in the container environment
- **requirements.txt**: Python dependencies for any script-based components

### Kubernetes
- **kube/deployment.yaml**: Defines the Kubernetes deployment for the Gitea MCP application
- **kube/pod.yaml**: Pod specification for the container
- **kube/service.yaml**: Service configuration to expose the application

### Configuration
- **mcpo_config.json**: Main configuration file for the `mcpo` tool, containing:
  - MCP server settings
  - Authentication credentials
  - API endpoints

## Purpose

This project provides a complete environment to:
1. Run the mpco service using containerization
2. Orchestrate the service using Kubernetes
3. Manage configuration and authentication securely

## Setup Instructions

1. **Clone the repository**:
   ```bash
   git clone [repository-url]
   ```

2. **Build the Docker image**:
   ```bash
   docker build -t gitea-mcp:latest .
   ```

3. **Apply Kubernetes configurations**:
   ```bash
   kubectl apply -f kube/
   ```

4. **Verify the deployment**:
   ```bash
   kubectl get pods -n gitea-mcp
   kubectl get services -n gitea-mcp
   ```

5. **Test the service**:
   - Ensure the service is accessible through the NodePort (30026)
   - Verify the MCP servers are configured correctly

## Notes
- The `mcpo` tool is used to manage MCP connections
- The configuration file contains sensitive information (access tokens, Bearer tokens)
- The project is designed for production deployment with Kubernetes orchestration

For detailed explanations of individual components, refer to their respective files in the repository.