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MCP Server for Spinnaker

@dion-hagan

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基本情報

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トランスポート

stdio

作者

dion-hagan

MCP Server for Spinnaker について

MCP Server for Spinnaker integrations.

MCP Server for Spinnaker の設定

標準の設定はありません

このサーバーの README には解析可能な MCP 設定ブロックが含まれていません。インストール手順はリポジトリをご確認ください。

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MCP Server for Spinnaker のツール

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この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。

ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。

概要

What is MCP Server for Spinnaker?

MCP Server for Spinnaker is a Model Context Protocol server that enables AI models to interact with Spinnaker deployments, pipelines, and applications through a standardized MCP interface. It is designed for developers and DevOps engineers looking to integrate AI (e.g., Claude) into CI/CD workflows.

How to use MCP Server for Spinnaker?

Install via npm or yarn, then import and initialize the server with your Spinnaker Gate URL, a list of applications, and monitored environments. Start the server on a configurable port. The server provides tools like get-applications, get-pipelines, and trigger-pipeline for AI models to query and manage Spinnaker.

Key features of MCP Server for Spinnaker

  • Standard MCP interface for AI integration
  • Retrieve monitored Spinnaker applications and their state
  • Query pipelines for any application
  • Trigger pipeline executions with custom parameters
  • Automatic context refresh every 30 seconds
  • TypeScript types for all data structures

Use cases of MCP Server for Spinnaker

  • AI models making intelligent deployment decisions based on application state
  • Proactive issue detection and autonomous remediation in CI/CD
  • Continuous process optimization by analyzing build and deployment logs
  • Automated root cause analysis and recovery during incidents

よくある質問

1

What does this server do that Spinnaker’s own API cannot?

It wraps Spinnaker’s API into the Model Context Protocol, allowing AI models like Claude to access and act on Spinnaker data using a standardized interface, without needing custom integration code.

2

What dependencies or runtime does it require?

Node.js and npm or yarn. It communicates with a running Spinnaker Gate instance (URL required).

3

Where does data live?

All application, pipeline, and deployment data is fetched from Spinnaker; the MCP server does not store data persistently.

4

What transport does the server use?

It runs as an HTTP server (default port 3000) and exposes MCP tools via that transport.

5

How do I configure authentication?

The README does not mention authentication. You may need to handle Spinnaker authentication separately (e.g., via the Gate URL).

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