Spinnaker
Enables AI models to interact with Spinnaker deployments, pipelines, and applications through the Model Context Protocol (MCP).
About
This package provides a Model Context Protocol (MCP) server implementation designed to facilitate Spinnaker integrations. By adhering to MCP standards, AI models gain access to comprehensive contextual insights into Spinnaker applications, pipelines, and deployments, empowering them to actively manage these resources through clearly defined tools. The server provides tools to retrieve application and pipeline information, trigger pipelines, and automatically maintains context about deployments, pipeline statuses, and recent executions, enhancing AI-driven CI/CD processes.
Key Features
- Provides tools for AI models to retrieve application and pipeline information from Spinnaker.
- Enables AI models to trigger Spinnaker pipelines.
- Automatically maintains context about Spinnaker deployments and pipeline statuses.
- Configurable context refresh interval.
- Exposes TypeScript types for easy integration.
Use Cases
- Intelligent deployment decisions based on application and pipeline context.
- Proactive issue detection and autonomous remediation in the CI/CD process.
- Automated root cause analysis and recovery during deployments.
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