MCP Server for Spinnaker
by MCP-Mirror
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.
Last updated: N/A
What is MCP Server for Spinnaker?
This is an MCP server that enables AI models, such as Anthropic's Claude, to integrate with and manage Spinnaker deployments and pipelines. It provides a standardized interface for AI to access contextual information and interact with Spinnaker.
How to use MCP Server for Spinnaker?
To use the server, install it via npm or yarn, initialize it with your Spinnaker Gate URL and the applications/environments you want to monitor, and then start the server. AI models can then use the provided tools (get-applications, get-pipelines, trigger-pipeline) to interact with Spinnaker.
Key features of MCP Server for Spinnaker
Provides a Model Context Protocol (MCP) interface for Spinnaker
Allows AI models to access Spinnaker deployment context
Enables AI-driven deployment decisions and automation
Offers tools for retrieving application and pipeline information, and triggering pipelines
Use cases of MCP Server for Spinnaker
Intelligent deployment decisions based on context analysis
Proactive issue detection and autonomous remediation in CI/CD
Continuous process optimization through AI learning
Automated root cause analysis and recovery during incidents
FAQ from MCP Server for Spinnaker
What is the Model Context Protocol (MCP)?
What is the Model Context Protocol (MCP)?
MCP is a standardized interface that allows AI models to interact with software deployment processes by providing contextual information and tools for management.
What Spinnaker components does this server interact with?
What Spinnaker components does this server interact with?
The server primarily interacts with Spinnaker applications, pipelines, and deployments through the Spinnaker Gate API.
How does the server maintain context about Spinnaker deployments?
How does the server maintain context about Spinnaker deployments?
The server periodically refreshes context information, including application states, pipeline statuses, and deployment information, at a configurable interval (default: 30 seconds).
What environment variables are supported?
What environment variables are supported?
The server supports GATE_URL (Spinnaker Gate URL), MCP_PORT (server port), and REFRESH_INTERVAL (context refresh interval).
Can I contribute to the development of this server?
Can I contribute to the development of this server?
Yes, you can contribute by cloning the repository, installing dependencies, building the project, and running tests. See the Development section in the README for details.