Getting Started MCP Server

YingDao AI Power: An AI low-code platform that quickly creates AI agents and AI workflows, helping users leverage AI effectively.

Local serverstdioMIT

What is the Getting Started MCP Server?

Getting Started is an MCP project maintained in the catinair/aipower-rpa-mcp-server repository. The maintainer describes its purpose as “YingDao AI Power: An AI low-code platform that quickly creates AI agents and AI workflows, helping users leverage AI effectively”. Read the project documentation for the complete scope.

Installation

The documented npm package is @automa-ai-power/rpa-mcp-servers. The configuration below comes from the maintainer’s example; adapt its paths and account values to your environment.

Configuration values

The example declares RPA_MODEL, ACCESS_KEY_ID, ACCESS_KEY_SECRET. Secret-looking values have been replaced with placeholders. Required and optional labels are shown only when the documentation states them.

Source

Project documentation · Repository · Discovery listing. This profile records the public documentation checked on 2026-10-08.

How to install the Getting Started MCP Server

{
  "mcpServers": {
    "YingDao RPA MCP Server": {
      "command": "npx",
      "args": [
        "-y",
        "@automa-ai-power/rpa-mcp-servers",
        "-stdio"
      ],
      "env": {
        "RPA_MODEL": "openApi",
        "ACCESS_KEY_ID": "YOUR_ACCESS_KEY_ID",
        "ACCESS_KEY_SECRET": "YOUR_ACCESS_KEY_SECRET"
      }
    }
  }
}

From the project documentation. Replace placeholders and example paths before connecting.

Configuration

Variable	Description	Required
RPA_MODEL	Declared in the maintainer’s client configuration.	Check documentation
ACCESS_KEY_ID	Declared in the maintainer’s client configuration.	Check documentation
ACCESS_KEY_SECRET	Declared in the maintainer’s client configuration.	Check documentation