MCP Server for Spinnaker logo

MCP Server for Spinnaker

by dion-hagan

This package provides a Model Context Protocol (MCP) server implementation for Spinnaker integrations. It allows AI models to interact with Spinnaker deployments, pipelines, and applications through the standardized MCP interface.

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What is MCP Server for Spinnaker?

The MCP Server for Spinnaker is an implementation of the Model Context Protocol that enables AI models, like Anthropic's Claude, to interact with and manage Spinnaker deployments, pipelines, and applications. It provides a standardized interface for AI to access contextual information and execute actions within Spinnaker.

How to use MCP Server for Spinnaker?

To use the server, install it using npm or yarn (npm install @airjesus17/mcp-server-spinnaker or yarn add @airjesus17/mcp-server-spinnaker). Then, initialize the server with your Spinnaker Gate URL, a list of applications to monitor, and a list of environments to monitor. Start the server by calling the listen method with a port number.

Key features of MCP Server for Spinnaker

  • Intelligent Deployment Decisions based on AI analysis

  • Proactive Issue Detection and Autonomous Remediation

  • Continuous Process Optimization through AI learning

  • Automated Root Cause Analysis and Recovery

  • Provides tools for AI models to interact with Spinnaker (get-applications, get-pipelines, trigger-pipeline)

  • Maintains context about Spinnaker deployments and pipelines

  • Configurable refresh interval for context updates

  • TypeScript types for easy integration

Use cases of MCP Server for Spinnaker

  • AI-driven deployment automation

  • AI-powered monitoring and alerting for CI/CD pipelines

  • AI-assisted root cause analysis and remediation

  • Continuous optimization of deployment processes using AI feedback

  • Integrating AI models like Claude with Spinnaker for intelligent decision-making

FAQ from MCP Server for Spinnaker

What is the Model Context Protocol (MCP)?

MCP is a standardized interface that allows AI models to interact with and manage software deployment processes.

What is Spinnaker?

Spinnaker is an open-source, multi-cloud continuous delivery platform for releasing software changes with high velocity and confidence.

How does this server integrate with Spinnaker?

The server connects to your Spinnaker Gate service and uses the Spinnaker API to retrieve information about applications, pipelines, and deployments. It then exposes this information to AI models through the MCP interface.

What kind of information does the server provide to AI models?

The server provides a list of applications, their current state, pipeline status, current deployments, and recent pipeline executions.

How can I configure the server?

The server can be configured using environment variables such as GATE_URL, MCP_PORT, and REFRESH_INTERVAL.