What are the requirements to use Komodo MCP Server?
You need Komodo v1.19.5 or later, Docker (for containerized deployment), Node.js 20+ (for local development), and valid Komodo credentials (API Key/Secret or username/password).
@MP-Tool
基本情報
Manage your Docker or Podman deployments through Komodo with AI assistants and automation tools.
以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。
{
"mcpServers": {
"komodo-mcp-server": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"-e",
"KOMODO_URL=https://komodo.example.com:9120",
"-e",
"KOMODO_API_KEY=YOUR_API_KEY",
"-e",
"KOMODO_API_SECRET=YOUR_API_SECRET",
"ghcr.io/mp-tool/komodo-mcp-server:latest"
]
}
}
}ツール一覧はまだありません
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。
Komodo MCP Server is a Model Context Protocol (MCP) server that enables AI assistants like Claude and GitHub Copilot to manage Docker or Podman deployments through Komodo, a container management platform. It allows natural language or automated workflows for container management, server orchestration, and deployment operations.
You can deploy it via Docker (recommended) using the provided Docker Compose example, or integrate it directly with Claude Desktop or VS Code by copying the configuration files from the examples/ directory and editing them with your Komodo credentials. For local development, clone the repository, install dependencies with npm install, build with npm run build, and start with npm start.
You need Komodo v1.19.5 or later, Docker (for containerized deployment), Node.js 20+ (for local development), and valid Komodo credentials (API Key/Secret or username/password).
It supports dual transport: Stdio (standard input/output) and HTTP/Server-Sent Events (SSE).
Credentials are set via environment variables in the configuration files (e.g., `.env` for Docker Compose, `claude_desktop_config.json` for Claude Desktop, or `mcp.json` for VS Code). Never commit credentials; use environment variables.
Yes, you can enable distributed tracing and metrics by setting environment variables like `OTEL_ENABLED`, `OTEL_SERVICE_NAME`, `OTEL_EXPORTER_OTLP_ENDPOINT`, and `OTEL_DEBUG`.
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