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MCP Server Demo

by ranjaka

MCP Server Demo

A demonstration Model Context Protocol (MCP) server that provides tools and resources for Java CI/CD workflows and GitLab CI template management.

📁 Repository Structure

mcp-server-demo/ ├── main.py # Main entry point for the MCP server ├── server.py # MCP server implementation with tools and resources ├── pyproject.toml # Python project configuration and dependencies ├── uv.lock # Dependency lock file ├── .gitlab-ci.yml # GitLab CI configuration (template-based) ├── ci-templates/ # GitLab CI template resources │ ├── build.gitlab-ci.yml │ ├── sast-scanner.gitlab-ci.yml │ ├── sca-scanner.gitlab-ci.yml │ └── build-image.gitlab-ci.yml └── README.md # This file

🚀 Features

MCP Server Tools

  • Mathematical Operations: sum_two_numbers() - Add two integers
  • CI/CD Template Management: Access to GitLab CI template resources
  • Java Build Tools: Maven-based build commands and configurations
  • Security Scanning: SAST and SCA scanning capabilities
  • Docker Operations: Image building and registry management
  • Deployment Automation: Environment-specific deployment commands

GitLab CI Templates

  • Build Templates: Java and Python build configurations
  • Security Scanning: SAST and SCA scanning templates
  • Docker Integration: Image build and push templates
  • Reusable Components: Template-based CI/CD pipeline generation

🛠️ Setup Instructions

Prerequisites

  • Python 3.13 or higher
  • uv package manager

Installation

  1. Clone the repository
    git clone <repository-url> cd mcp-server-demo
  2. Install dependencies
    uv sync
  3. Verify installation
    uv run python --version

🚀 Starting the MCP Server

Method 1: Using uv run

uv run mcp dev main.py

Method 2: Direct execution

uv run python main.py

Method 3: Using the MCP CLI

uv run mcp run main.py

🔧 Configuration

Environment Variables

The server uses standard MCP configuration. No additional environment variables are required for basic operation.

GitLab CI Templates

The ci-templates/ directory contains reusable GitLab CI templates:

  • build.gitlab-ci.yml - Build job templates for Java and Python
  • sast-scanner.gitlab-ci.yml - Static Application Security Testing templates
  • sca-scanner.gitlab-ci.yml - Software Composition Analysis templates
  • build-image.gitlab-ci.yml - Docker image build and push templates

📋 Usage Examples

Using the MCP Server Tools

  1. Add two numbers
    result = sum_two_numbers(5, 3) # Returns 8
  2. Access CI templates
    # Access build template build_template = read_build_ci_file() # Access SAST scanner template sast_template = read_sast_scanner_ci_file()

Generating GitLab CI Files

The server provides resources to help generate GitLab CI configurations using the available templates:

  1. Java Application CI
    • Uses .build-java template
    • Includes SAST and SCA scanning
    • Docker image building and deployment
  2. Python Application CI
    • Uses .build-python template
    • Includes security scanning
    • Container deployment capabilities

🔍 Available Resources

File Resources

  • file://ci-templates/build.gitlab-ci.yml - Java and Python build templates
  • file://ci-templates/sast-scanner.gitlab-ci.yml - SAST scanning templates
  • file://ci-templates/sca-scanner.gitlab-ci.yml - SCA scanning templates
  • file://ci-templates/build-image.gitlab-ci.yml - Docker build templates

Dynamic Resources

  • greeting://{name} - Personalized greeting messages
  • pipeline://{project_name} - CI/CD pipeline status
  • project://{project_name} - Project information
  • template://{template_name} - Template information

🧪 Testing

Run the server in development mode

uv run mcp dev main.py

Test individual tools

uv run python -c "from server import sum_two_numbers; print(sum_two_numbers(10, 5))"

📦 Dependencies

Core Dependencies

  • mcp[cli]>=1.11.0 - Model Context Protocol server and CLI tools

Development Dependencies

  • Python 3.13+ for modern language features
  • uv for fast dependency management

🤝 Contributing

  1. Fork the repository
  2. Create a feature branch
  3. Make your changes
  4. Add tests if applicable
  5. Submit a pull request

📄 License

This project is licensed under the MIT License - see the LICENSE file for details.

🆘 Troubleshooting

Common Issues

  1. MCP server not starting
    • Ensure Python 3.13+ is installed
    • Verify dependencies with uv sync
    • Check for port conflicts
  2. Template access issues
    • Verify ci-templates/ directory exists
    • Check file permissions
    • Ensure template files are properly formatted
  3. GitLab CI generation problems
    • Verify template syntax
    • Check for missing template dependencies
    • Ensure proper job inheritance

Getting Help

  • Check the MCP documentation
  • Review the template files in ci-templates/
  • Examine the server implementation in server.py

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