GitHub
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作者による説明(英語の原文)
Deploy and run apps in your own AWS, Google Cloud, Azure or DigitalOcean account from any AI agent.
この3つを1つのスコアにまとめることはしません。意見、測定、人気はそれぞれ別のものだからです。
このサーバーのやさしい解説はまだ書いていません。以下はレジストリから読み取った事実です。
使っているAIアプリを選んで、設定をコピーしてください。
THEDEPLOYER_API_KEY「秘密」と表示された値は、あなたのアカウントの鍵です。絶対に人に教えたり、チャットに貼り付けたりしないでください。
必要なもの
どのアプリを使っていますか?
上でアプリを選んでください。選んだアプリを覚えておくので、次からはボタンに「…にインストール」と表示されます。
ウェブ、デスクトップ、モバイルのClaudeで使えます:
https://app.thedploy.com/mcpClaude Desktop → Settings → Developer → Edit Config を開き、claude_desktop_config.json にこれを貼り付けます
{
"mcpServers": {
"deployer": {
"command": "npx",
"args": [
"-y",
"thedeployer-mcp"
],
"env": {
"THEDEPLOYER_API_KEY": "your-value"
}
}
}
}ターミナルでこれを実行します
claude mcp add --transport http deployer https://app.thedploy.com/mcpclaude mcp add deployer --env THEDEPLOYER_API_KEY=your-value -- npx -y thedeployer-mcp動かす前に、空欄の値を入力してください。
プロジェクトの .cursor/mcp.json、または ~/.cursor/mcp.json に貼り付けます
{
"mcpServers": {
"deployer": {
"url": "https://app.thedploy.com/mcp"
}
}
}プロジェクトの .cursor/mcp.json、または ~/.cursor/mcp.json に貼り付けます
{
"mcpServers": {
"deployer": {
"command": "npx",
"args": [
"-y",
"thedeployer-mcp"
],
"env": {
"THEDEPLOYER_API_KEY": "your-value"
}
}
}
}ブラウザがアプリを開いてよいか確認し、そのあとアプリが設定を表示して確認を求めます。キーの値は空欄のままなので、自分で入力してください。
プロジェクトの .vscode/mcp.json に貼り付けます
{
"servers": {
"deployer": {
"type": "http",
"url": "https://app.thedploy.com/mcp"
}
}
}プロジェクトの .vscode/mcp.json に貼り付けます
{
"servers": {
"deployer": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"thedeployer-mcp"
],
"env": {
"THEDEPLOYER_API_KEY": "your-value"
}
}
}
}ブラウザがアプリを開いてよいか確認し、そのあとアプリが設定を表示して確認を求めます。キーの値は空欄のままなので、自分で入力してください。
ChatGPTがつなげるのは、インターネット上のサーバーだけです:
https://app.thedploy.com/mcpメニューの名前は、プランや時期によって少し違うことがあります。
選んだアプリは、この端末のCookieに保存されます。アカウントは不要です。
この設定は、作者のレジストリ登録情報から作成しています。READMEと違う場合は、READMEに従ってください。
このサーバーのツール一覧はまだ読み取っていません。エンドポイントは順番にチェックしています。
誰でも見られる情報をチェックしており、コードは読んでいません。当てはまらない項目は数に入れていません。 · 2026年11月6日にチェック
公開者(thedploy.com)がリポジトリの所有者(Avinash147-1193)ではありません。別の人が登録した可能性があります
このリポジトリはまだGitHubから読み取っていません
このリポジトリはまだGitHubから読み取っていません
まだチェックしていません。エンドポイントは順番にチェックしています
まだチェックしていません。エンドポイントは順番にチェックしています
まだチェックしていません。エンドポイントをチェックするときにツール一覧を読み取ります
レジストリでこのカテゴリにある有効なすべてのサーバーと比較しています。スターは、公開者がリポジトリの所有者である場合だけ数えます。
当てはまる基本チェック1項目のうち0項目に合格しました。コードは読んでいません。キーやトークンを追加する前に、サーバーがどんなアクセスを求めているかを確認し、必要な権限だけを持つキーを使ってください。
入力が必要なもの:THEDEPLOYER_API_KEY
どちらでも使えます。パソコンにインストールしても、クラウド版につないでもかまいません。
GitHubリポジトリの最終更新は–、最新バージョン(0.3.0)がレジストリに届いたのは6 日前です。
Claude Desktop、Claude Code、Cursor、VS CodeなどのMCP対応アプリで使えます。URLでつながるので、リモートMCPサーバーに対応したアプリ(開発者モードのChatGPTなど)でも使えます。
同じカテゴリには:GitHub, Desktop Commander, Cloudflare MCP
同じカテゴリで、ほかの作者が作ったサーバー。スターの多い順。
カードの見方:★ GitHubスターi3つの柱:レビュー · チェック · 利用状況i更新=最新バージョンをレジストリに公開した日i
Connect AI assistants to GitHub - manage repos, issues, PRs, and workflows through natural language.
MCP server for terminal commands, file operations, and process management
Cloudflare MCP servers
作者のリポジトリから書かれたとおりにコピーしたものです。PopNx MCPは内容を確認・推奨していません。HTML、画像、スクリプトは取り除いています。リンクはこのサイトの外へ移動します。
Let Claude Code, Codex, Cursor, VS Code or any AI coding agent deploy and run your apps with The Deployer. Ask it to put your app online and it checks the code, fixes what would stop a deploy, creates the project, sets the environment variables, shows you the hosting plan and its monthly cost, launches into your own cloud once you say yes, follows the deployment and fixes what fails. Then it redeploys, adds domains, scales, schedules start and stop, attaches databases and more.
The Deployer runs your app in your own DigitalOcean, AWS, Google Cloud or Azure account, or on your own servers, so the cloud bills you directly.
| Tool | What it does | Key |
|---|---|---|
guide | The Deployer's playbooks for agents: the order of a deploy, what code needs, how to fix failures | Not needed |
check_repo | Will a public repository deploy? What it found, what's missing, and what it would cost on each cloud | Not needed |
plan_deploy | The check, plus your connected accounts and projects, and the next step to take | Any |
account | Your connected clouds and code hosts, workspaces, and what the key may do | Any |
status | Your projects, their live addresses and their latest deployment | Any |
project | One project in depth, with the exact next step | Any |
deployment | Where a deployment is, what it waits on, and for a failed one what to fix | Any |
logs | A deployment's log, with secrets removed | Any |
diagnose | Read-only checks on a live server: containers, app logs, memory and disk | Any |
redeploy | Pulls the latest code on a live project's branch and restarts it | Any |
create_project | Creates a project from a repository and reads its code | Operate |
set_env | Sets environment variables; values are never shown back | Operate |
launch | Shows the plan and its cost, then launches after you say yes | Operate |
api_catalog / api_schema / api_read / api | Everything else (api_read reads, api changes): domains, scaling, schedules, databases, access, environments, blueprints, servers, adoption | Reads: any. Changes: Operate |
fixes / fix / claim_fix / report_fix / fix_status | Code problems a deploy hit, when you choose to have your own agent fix them (The Deployer fixes them itself by default) | Reads: any. Changes: Operate |
request_done_for_you | Asks for a done-for-you Launch or Move; you finish the order in The Deployer | Any |
To create a key, sign in to The Deployer, open Profile, and use API keys and AI coding tools. Choose Operate to let an agent set up and run projects, or Look and redeploy. The page also shows these setups with your key filled in.
What an agent can never do with a key: see your cloud or git credentials or your environment variable values, change billing, your team or your account, delete projects, databases or servers, or create keys. Anything that costs money waits for your yes.
The fastest way: add the server by its address and sign in. Your agent opens The Deployer in your browser, you approve it, and that's it: no key to create or paste. Or open Connections → Coding agents in The Deployer and pick your agent for one-click setup.
Server address: https://app.thedploy.com/mcp
Claude Code:
claude mcp add --transport http --scope user thedeployer https://app.thedploy.com/mcp
claude mcp login thedeployer
Claude (claude.ai and Claude Desktop): Settings → Connectors → Add custom connector, address https://app.thedploy.com/mcp.
Cursor, in ~/.cursor/mcp.json, then Cursor Settings → Tools & MCP → thedeployer → Needs login:
{ "mcpServers": { "thedeployer": { "url": "https://app.thedploy.com/mcp" } } }
VS Code: run MCP: Add Server → HTTP → https://app.thedploy.com/mcp; VS Code asks you to sign in the first time Copilot uses it.
Codex:
codex mcp add thedeployer --url https://app.thedploy.com/mcp
Gemini CLI, in ~/.gemini/settings.json:
{ "mcpServers": { "thedeployer": { "httpUrl": "https://app.thedploy.com/mcp" } } }
For tools that can't sign in, or for CI.
The hosted server needs nothing installed. Replace dpl_your_key with your key.
Keep the key out of files you commit. Put it in your user-level settings, or have your tool read it from an environment variable or a prompt, as shown below for project files.
Claude Code, for all your projects (stored in ~/.claude.json):
claude mcp add --transport http --scope user thedeployer https://app.thedploy.com/api/v1/mcp --header "Authorization: Bearer dpl_your_key"
To share the server in a project's .mcp.json, use "Authorization": "Bearer ${THEDEPLOYER_API_KEY}" as the header. Claude Code fills it in from each person's THEDEPLOYER_API_KEY environment variable.
Codex, in ~/.codex/config.toml:
[mcp_servers.thedeployer]
command = "npx" args = ["-y", "thedeployer-mcp"] env = { THEDEPLOYER_API_KEY = "dpl_your_key" }
Cursor, in ~/.cursor/mcp.json:
{
"mcpServers": { "thedeployer": { "url": "https://app.thedploy.com/api/v1/mcp", "headers": { "Authorization": "Bearer dpl_your_key" } } } }
In a project's .cursor/mcp.json, use "Authorization": "Bearer ${env:THEDEPLOYER_API_KEY}" instead, so Cursor reads the key from your environment.
VS Code, in .vscode/mcp.json. VS Code asks for the key the first time and stores it securely:
{
"inputs": [ { "type": "promptString", "id": "thedeployer-key", "description": "The Deployer API key", "password": true } ], "servers": { "thedeployer": { "type": "http", "url": "https://app.thedploy.com/api/v1/mcp", "headers": { "Authorization": "Bearer ${input:thedeployer-key}" } } } }
The same works in your user configuration (run MCP: Open User Configuration).
Gemini CLI, in ~/.gemini/settings.json:
{
"mcpServers": { "thedeployer": { "httpUrl": "https://app.thedploy.com/api/v1/mcp", "headers": { "Authorization": "Bearer dpl_your_key" } } } }
Tools that start a local command (Cline, Windsurf and others) use this package, which needs Node.js 18 or newer. Add it to the tool's user-level MCP settings:
{
"mcpServers": { "thedeployer": { "command": "npx", "args": ["-y", "thedeployer-mcp"], "env": { "THEDEPLOYER_API_KEY": "dpl_your_key" } } } }
If your tool's configuration looks different, its MCP documentation has the equivalent fields: a URL with an Authorization header, or a command with an environment variable.
With the hosted server, your AI tool makes the connection, so its own proxy settings apply.
This package uses Node.js, which ignores HTTPS_PROXY unless you turn that on. Add NODE_USE_ENV_PROXY next to it, which needs Node.js 22.21 or newer, or 24.0 or newer. (The --use-env-proxy flag does the same from Node.js 22.21 or 24.5.) On older versions, this package can't go through a proxy.
If your network inspects HTTPS with its own certificate, set NODE_EXTRA_CA_CERTS to that certificate's file (PEM):
"env": {
"THEDEPLOYER_API_KEY": "dpl_your_key", "HTTPS_PROXY": "http://proxy.example.com:8080", "NODE_USE_ENV_PROXY": "1", "NODE_EXTRA_CA_CERTS": "/path/to/company-ca.pem" }
A key works only with The Deployer's MCP server, and only through its tools: check_repo, plan_deploy, status, logs (with secrets removed), redeploy and request_done_for_you. It can't touch your cloud or git credentials, your environment variables, your billing or your account settings, and it can't create more keys. The Deployer stores only a hash of it. Revoke a key on the Profile page at any time; use one key per tool or machine, so you can revoke one without touching the rest. Changing or resetting your password revokes all your keys.
redeploy changes a live app. Keep your tool asking you before it runs redeploy, rather than approving it automatically.
Tool answers come from your repositories and deployments. Treat them like any other text your agent reads.
index.mjs is a bridge with no dependencies. It reads MCP messages from stdin, sends each one to The Deployer's hosted endpoint over HTTPS with your key, and writes the answers to stdout. The tools run on The Deployer, so this package doesn't change when they do.
Every request gets an answer. When The Deployer refuses one or can't be reached, the answer is an error that says why, such as a revoked key or a timeout. The bridge never follows redirects, and it never puts your key anywhere but the Authorization header.
| Variable | Meaning |
|---|---|
THEDEPLOYER_API_KEY | Your personal API key. Without it, only check_repo works |
THEDEPLOYER_MCP_URL | The endpoint, if not https://app.thedploy.com/api/v1/mcp. It must use https://, except on this computer (127.0.0.1, ::1 or localhost) |
THEDEPLOYER_TIMEOUT_MS | How long to wait for one answer, in milliseconds, from 1000 to 600000 (default 200000) |
npm test
MIT