mcp-server-spinnaker

The MCP Server for Spinnaker is a robust integration tool that allows AI models, such as Anthropic's Claude, to enhance software deployment processes by interacting with Spinnaker applications, pipelines, and deployments. By adhering to MCP standards, the server provides AI with rich contextual information, enabling intelligent deployment decisions, proactive issue detection, continuous process optimization, and automated root cause analysis. This integration showcases how AI can become a proactive partner in the CI/CD process, offering intelligent insights and recommendations to improve efficiency, reliability, and autonomy in software delivery.

Features

• Intelligent Deployment Decisions: AI models can analyze application and pipeline states to make informed deployment decisions.
• Proactive Issue Detection: Continuous monitoring allows AI to spot and address potential issues before they escalate.
• Continuous Process Optimization: AI learns from each deployment to enhance speed and reliability over time.
• Automated Root Cause Analysis: AI can diagnose and fix issues autonomously, improving system resilience.

MCP Tools

• get-applications: Retrieves a list of monitored Spinnaker applications and their current state.
• get-pipelines: Retrieves all pipelines for a specific application.
• trigger-pipeline: Triggers a pipeline execution for a specific application.

Usage with Different Platforms

npm

bash
npm install @airjesus17/mcp-server-spinnaker

yarn

bash
yarn add @airjesus17/mcp-server-spinnaker

typescript

typescript
import { SpinnakerMCPServer } from '@airjesus17/mcp-server-spinnaker';

// Initialize the server
const server = new SpinnakerMCPServer(
  'https://your-gate-url',
  ['app1', 'app2'],  // List of applications to monitor
  ['prod', 'staging']  // List of environments to monitor
);

// Start the server
const port = 3000;
server.listen(port, () => {
  console.log(`Spinnaker MCP Server is running on port ${port}`);
});