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