What are the prerequisites to use this server?
Node.js must be installed, and you need a Cloud Automator API key. Refer to Cloud Automator’s documentation to create one.
@juno
基本信息
An unofficial MCP server for using Cloud Automator REST API.
`pageNumber` (number); Page number for pagination (default: 1)
`jobId` (number); Job ID
`logId` (number); Log ID
`logId` (number); Log ID
`pageNumber` (number); Page number for pagination (default: 1)
`jobWorkflowId` (number); Job ID
`pageNumber` (number); Page number for pagination (default: 1)
`postProcessId` (number); Post Process ID
`groupId` (number); Group ID
`groupId` (number); Group ID
`groupId` (number); Group ID
`groupId` (number); Group ID
An unofficial MCP server that wraps the Cloud Automator REST API, allowing you to manage jobs, workflows, post-processes, and cloud accounts through MCP-compatible clients. It is intended for users of Cloud Automator who want to interact with the API using natural language or AI assistants.
Install Node.js and create a Cloud Automator API key. Clone the repository, run npm install and npm run build. Then add a cloudautomator server entry to your MCP client configuration (e.g., Cline, Claude Desktop, or VS Code) with command: "node", args pointing to dist/index.js, and env.CLOUD_AUTOMATOR_API_KEY set to your key.
Node.js must be installed, and you need a Cloud Automator API key. Refer to Cloud Automator’s documentation to create one.
In your MCP client configuration, set the environment variable `CLOUDAUTOMATOR_API_KEY` to your API key. For example, in a JSON config file under `"env"`.
It uses the stdio transport, as demonstrated in the configuration examples for Cline, Claude Desktop, and VS Code.
Yes, the optional environment variable `CLOUDAUTOMATOR_API_URL` allows you to override the default `https://api.cloudautomator.com/v1/`.
No, this is an unofficial MCP server. It is provided under the MIT License for use, modification, and distribution.
AI Agents & MCPs & AI Workflow Automation • (~400 MCP servers for AI agents) • AI Automation / AI Agent with MCPs • AI Workflows & AI Agents • MCPs for AI Agents
🚀 The fast, Pythonic way to build MCP servers and clients.
This open-source curriculum introduces the fundamentals of Model Context Protocol (MCP) through real-world, cross-language examples in .NET, Java, TypeScript, JavaScript, Rust and Python. Designed for developers, it focuses on practical techniques for building modular, scalable,

B2B competitive intelligence, live sales battlecards, 5-axis ICP prospect fit scoring, and tech stack teardowns over MCP and REST with cited public-web evidence.

DeepMark helps teachers deliver rapid, consistent marking with meaningful feedback for every student — in a fraction of the time. What once took a week, now takes one free period.
评论