MCP Server for Spinnaker

What is MCP Server for Spinnaker?

It is a Model Context Protocol (MCP) server that allows AI models to interact with Spinnaker deployments, pipelines, and applications via a standardized interface. It is designed for developers and DevOps engineers who want to integrate AI into their CI/CD workflows.

How to use MCP Server for Spinnaker?

Install the npm package @airjesus17/mcp-server-spinnaker or add it with yarn. Configure it by instantiating the SpinnakerMCPServer class with your Spinnaker Gate URL, a list of applications, and monitored environments, then call server.listen(port). Alternatively, set the environment variables GATE_URL, MCP_PORT, and REFRESH_INTERVAL.

Key features of MCP Server for Spinnaker

• Provides three tools: get-applications, get-pipelines, trigger-pipeline
• Automatically refreshes context data every 30 seconds
• Supports TypeScript with exported type definitions
• Configurable via environment variables
• Uses the standard MCP interface for AI integration

Use cases of MCP Server for Spinnaker

• Make intelligent deployment decisions by analyzing application and pipeline state
• Proactively detect issues and autonomously remediate (e.g., create pull requests for vulnerabilities)
• Continuously optimize CI/CD processes by identifying bottlenecks and experimenting with configurations
• Automate root cause analysis and recovery, such as rolling back to a previous version
• Act as a virtual assistant for product engineers throughout the deployment pipeline