
Rqeim Cloud
com.rqeim由 rqeim.com 發布官方發布者v1.0.0更新於 Nov 14, 2026
Deploy, preview and diagnose the apps on your Rqeim Cloud account.
概覽
將 AI 助理連接到 Rqeim Cloud 帳戶,用來建立、部署、預覽與診斷該帳戶所託管的應用程式。
- 可以做什麼
- 讀取專案、環境、健康狀態與部署紀錄
- 建立環境,並開啟專案的沙箱副本修改程式碼、預覽與發布
- 讀取環境日誌並執行排程工作
- 在明確確認後還原備份或刪除環境
- 透過任務鍵追蹤背景變更,並讀取服務的工作流程指南
- 適用情境
- 當你的應用程式託管在 Rqeim Cloud,希望助理查看部署狀況、讀取日誌、建立環境或預覽變更而不必切換到主控台時適用。
- 執行需求
- 遠端 streamable HTTP 端點,不需本機套件。需要 Rqeim Cloud 帳戶,透過 OAuth 2.1(含動態用戶端註冊與 PKCE)登入,或使用帳戶 API 權杖以 Authorization Bearer 標頭送出。需要連線至該服務的網路。
安裝
在 SourceWeft 中
- 開啟 儀表板中的 Rqeim Cloud,將其新增到工作區。
- 連接 所需的 憑證。它們會被私密儲存,絕不會在公開頁面上展示。
- 為需要使用其工具的對話啟用該服務。
Web executable,透過 Streamable HTTP。 遠端服務在工作區中設定後即可從網頁執行環境執行。
交給代理程式安裝
把這段提示詞貼上到 Claude Code、Codex、Cursor 等代理程式,或 SourceWeft 對話中。代理程式會讀取該伺服器的安裝指南,先向你展示發布者、端點和登入方式,經你同意後再把它新增到你的客戶端。金鑰不會寫進任何命令。
閱讀 https://sourceweft.com/mcp/com.rqeim%2Fcloud/install.md,並按其中說明把這個 MCP 伺服器接入我的客戶端。修改任何設定之前,先告訴我它的發布者、端點和登入方式,等我確認。不要把 API 金鑰寫進命令或我會提交的檔案;問我金鑰應從哪裡取得。其他 MCP 客戶端
把它新增到你客戶端的 mcpServers 設定中。 客戶端會在首次連接時完成 OAuth 登入。
{
"mcpServers": {
"rqeim-cloud": {
"type": "http",
"url": "https://cloud.rqeim.com/mcp"
}
}
}README
Rqeim Cloud MCP
Connect an AI agent to Rqeim Cloud and it can create, deploy, inspect and diagnose the applications on your account: environments, previews, logs, domains, health and backups.
This repository is the public distribution bundle for the Rqeim Cloud MCP server. It contains no
server code: the server is hosted at https://cloud.rqeim.com/mcp.
1. What the server does
Rqeim Cloud runs Docker applications from a Git repository: you push, it deploys. With this server an agent works the same way a person does in the dashboard:
- read the account's projects, environments, health and deploy history;
- open a copy of a project, change its code in a sandboxed machine, preview it, and publish it;
- read logs, run scheduled jobs, restore a backup (with explicit confirmation).
Every change is asked for explicitly by the person in the conversation. The server never decides on its own to deploy, delete, or touch production.
2. Connect
Claude Code
Or install the plugin, which also adds the workflow skill:
Claude Code opens a browser to sign in to your Rqeim account the first time.
Gemini CLI
ChatGPT and Claude (web, desktop, mobile)
Add a connector with the URL https://cloud.rqeim.com/mcp/directory and sign in when asked.
/mcp/directory lists every tool by name, which is what a public directory reviews; the plain /mcp
keeps the short list and its search for agents. Each door has its own OAuth resource.
Codex and other MCP clients
Streamable HTTP at https://cloud.rqeim.com/mcp, OAuth 2.1 with dynamic client registration and
PKCE. An account API token works too, as Authorization: Bearer <token>.
3. Authentication
The server signs users in with OAuth 2.1, discovered from the standard well-known documents:
Clients register themselves (/oauth/register), use PKCE with S256, and receive a token scoped to
mcp alone. A token is an hour long, refreshed without a new sign-in.
An unauthenticated request answers:
4. Tools
Every tool is one intent. Reads change nothing and answer without confirmation; tools that change
something take a requestId (generated when omitted) and destructive or production tools also need
confirm: true after the person agrees. A change runs in the background and returns a task key:
follow it with get_task.
Naming: list_projects, get_project, get_projects_health, create_environment, workspace_shell,
read_environment_logs, finish_task, delete_environment, get_task, read_guide.
Run read_guide once per conversation: it is the current, complete description of the workflow and
the rules (written for the model, kept up to date by the service).
5. Data and privacy
The server reads and writes only the account that signed in. It stores no conversation content and returns no telemetry identifiers in tool results. See PRIVACY.md.
6. Limits
- One project belongs to one account; there are no shared workspaces.
- Machine operations (deploy, build, restore) are asynchronous: a redeploy is 10–40 seconds, a first deploy about a minute.
- Production is read-and-diagnose for agents: a change goes through an environment first, then a deploy.
7. Support
- Support: [email protected]
- Documentation: https://rqeim.com/docs/mcp
- Status: https://cloud.rqeim.com/up
- Issues with this bundle: https://github.com/Rqeim/rqeim-cloud-mcp/issues
來源:README.md,提交 bd57326
工具
0版本歷史
1- v1.0.0最新Nov 14, 2026
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