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Deployhq MCP Server

@deployhq

基本信息

分类

其他

传输方式

stdio

作者

deployhq

提交者

Marta Karaś

关于 Deployhq MCP Server

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

Deployhq MCP Server 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

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

Deployhq MCP Server 工具

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当前收录暂时没有可展示的工具列表,不代表服务没有工具。请查阅项目文档了解支持的能力。

点击上方按钮,在临时沙箱中运行此服务器并实时获取工具列表。

概览

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

常见问题

1

Do I need to install anything?

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

2

Is it secure?

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

3

Which AI assistants are supported?

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

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