Deployhq MCP Server

@deployhq

リポジトリ

基本情報

カテゴリ

その他

トランスポート

stdio

作者

deployhq

投稿者

Marta Karaś

Deployhq MCP Server について

MCP server for DeployHQ that enables AI assistants to manage deployments. Provides 7 tools: list projects, get project details, list servers, list/get deployments, get deployment logs for debugging, and create new deployments. Works via npx with no installation required. Supports

#deployment #devops #ci-cd #hosting #automation

Deployhq MCP Server の設定

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": {
    "deployhq": {
      "command": "npx",
      "args": [
        "-y",
        "deployhq-mcp-server"
      ],
      "env": {
        "DEPLOYHQ_EMAIL": "",
        "DEPLOYHQ_API_KEY": "",
        "DEPLOYHQ_ACCOUNT": ""
      }
    }
  }
}

Deployhq MCP Server のツール

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。

上のボタンで一時的なサンドボックスでこのサーバーを実行し、ツール一覧を取得できます。

概要

What is Deployhq?

DeployHQ MCP Server is an MCP integration for the DeployHQ deployment platform, allowing AI assistants to manage projects, servers, and deployments through natural language.

How to use Deployhq?

Install with npx – no setup required. Configure your DeployHQ credentials (email, API key, account name) as environment variables, and your AI assistant can immediately interact with your deployments.

Key features of Deployhq

List and inspect projects, servers, and deployments
Create new deployments with full control over branch, build, and config options
Retrieve deployment logs for debugging failed deployments
Secure credential handling via environment variables, never stored to disk

Use cases of Deployhq

Checking deployment status across projects using natural language
Debugging failed deployments by analyzing logs with AI assistance
Triggering deployments to staging or production without leaving your editor
Monitoring deployment history and server configurations

よくある質問

Do I need to install anything?

No. The server runs via npx and automatically downloads the latest version.

Is it secure?

Credentials are passed via environment variables, never stored. All API communication uses HTTPS.

Which AI assistants are supported?

Claude Desktop, Claude Code, and any MCP-compatible client.

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