# rulego-server

> rulego-server — rulego-rulego-server. Use this tool when you need to automate workflows and integrate various systems, supporting iPaaS, stream computing, and AI capabilities with git version control. It solves problems of manual workflow management, data processing, and system integration, providing a lightweight and dependency-free platform. Ideal for use cases requiring flexible and scalable automation, with inputs including workflow definitions and data streams, and outputs including automated tasks and processed data.

Canonical page: https://skillsregistry.net/skills/rulego-rulego-server  
JSON: https://api.skillsregistry.net/v1/skills/rulego-rulego-server

## Description

A lightweight dependency-free workflow automation platform. Supports iPaaS, stream computing, MCP, and AI capabilities.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** other
- **Updated:** 2026-09-20

## Source

- **Source listing:** [GitHub](https://github.com/rulego/rulego-server)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "rulego-rulego-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/rulego-rulego-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/rulego-rulego-server/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt