Cloudgate Workflow MCP Server

Build and manage Cloudgate workflow-APIs: controllers, actions, workflow graphs, and databases.

Remote serverstreamable-http

What is the Cloudgate Workflow MCP server?

Cloudgate Workflow MCP server is a hosted integration for AI assistants that speak the Model Context Protocol. Build and manage Cloudgate workflow-APIs: controllers, actions, workflow graphs, and databases.

What you get

Build and manage Cloudgate workflow-APIs — controllers, actions, workflow graphs, and databases — from any MCP-compatible AI client, including Claude, OpenAI Codex, and others.

What the assistant can call

Once Cloudgate Workflow is connected, these are the calls the assistant has available:

Setting it up

Being a remote server, there is no local install. You register the endpoint with your client, authorise it once, and the tools appear.

Choosing this one

Among the developer tooling options, the useful question is rarely "what can it do" but "what does it cost you to run" — permissions, credentials, and how much of your context its toolset consumes. Cloudgate Workflow's toolset — Registry — is a fair guide to whether it matches your workflow. It is maintained by dev.cloudgate; worth a glance at recent repository activity before you build anything load-bearing on it.

SyncDev reviews every entry in this directory against the project's own documentation before publishing, and revisits them as servers change.

Before you rely on it

  • Your data travels to the provider's service, so the usual questions apply about what you send and what they retain.
  • MCP clients confirm each tool call by default. Leave that on until you have watched what the cloudgate workflow mcp server does with a few real requests.

Available tools

ToolWhat it does
Registry** listed in the [official MCP Registry](https://registry.modelcontextprotocol.io) as dev.cloudgate/workflow

How to install the Cloudgate Workflow MCP server

{
  "mcpServers": {
    "cloudgate": {
      "command": "npx",
      "args": ["-y", "mcp-remote", "https://api.cloudgate.dev/mcp/workflow"]
    }
  }
}

Configuration as documented by the project. Restart the client after saving.

Example prompts to try

  • Use Cloudgate Workflow to Registry.

Frequently asked questions

It connects Cloudgate Workflow to MCP-compatible AI assistants such as Claude and Cursor, exposing 1 tool (Registry) that the assistant can call on your behalf. Instead of copying data back and forth by hand, the assistant works with Cloudgate Workflow directly.