ai-cicd-mcp-server

itsocialist/ai-cicd-mcp-server

3.2

If you are the rightful owner of ai-cicd-mcp-server and would like to certify it and/or have it hosted online, please leave a comment on the right or send an email to henry@mcphub.com.

The AI-Driven CI/CD MCP Server is an intelligent server that leverages Model Context Protocol to enable AI agents to manage CI/CD pipelines using natural language commands.

Tools
4
Resources
0
Prompts
0

AI-Driven CI/CD MCP Server 🚀

CI/CD Pipeline License: MIT Node.js Version

An intelligent MCP (Model Context Protocol) server that enables AI agents to create, deploy, and manage CI/CD pipelines through natural language commands. Supports Jenkins, GitHub Actions, and major cloud providers.

✨ Features

  • 🧠 Natural Language Processing: Convert deployment requirements into executable pipelines
  • 🔧 Multi-Platform Support: Jenkins, GitHub Actions, GitLab CI
  • ☁️ Cloud Integration: AWS, Azure, GCP, Kubernetes
  • 🔒 Security First: Automated security scanning and compliance
  • 📊 Monitoring: Built-in observability and alerting
  • 🚀 Zero-Config Deployment: Docker and Kubernetes ready

🎯 Quick Start

Using Docker (Recommended)

# Clone the repository
git clone https://github.com/itsocialist/ai-cicd-mcp-server.git
cd ai-cicd-mcp-server

# Start with Docker Compose
docker-compose up -d

Local Development

# Install dependencies
npm install

# Build the project
npm run build

# Start the server
npm start

🔧 Configuration

Environment Variables

Create a .env file from the example:

cp .env.example .env

Claude Desktop Integration

Add to your Claude Desktop configuration:

{
  "mcpServers": {
    "ai-cicd": {
      "command": "node",
      "args": ["dist/index.js"],
      "cwd": "/path/to/ai-cicd-mcp-server"
    }
  }
}

💬 Natural Language Examples

Basic Deployment

"Deploy my Node.js app to staging when PR is approved, then to production if tests pass"

Complex Multi-Environment

"Create a pipeline for my Python microservice that runs security scans, deploys to development automatically, requires approval for staging, and monitors error rates in production"

🛠️ Available Tools

ToolDescription
parse_deployment_requirementsConvert natural language to structured config
generate_jenkins_pipelineCreate Jenkins pipeline (Groovy DSL)
generate_github_actionsCreate GitHub Actions workflow (YAML)
create_infrastructure_configGenerate Terraform/Kubernetes configs

🚀 Supported Platforms

CI/CD Systems

  • ✅ Jenkins (with Blue Ocean)
  • ✅ GitHub Actions
  • ✅ GitLab CI (coming soon)

Cloud Providers

  • ✅ Amazon Web Services (AWS)
  • ✅ Microsoft Azure
  • ✅ Google Cloud Platform (GCP)
  • ✅ Kubernetes (any provider)

Languages & Frameworks

  • ✅ Node.js (npm, yarn, pnpm)
  • ✅ Python (pip, poetry, conda)
  • ✅ Java (Maven, Gradle)
  • ✅ Go (go modules)

🤝 Contributing

We welcome contributions! Please see our for details.

📝 License

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

📞 Support


Made with ❤️ by developers, for developers