# Structured Workflow Engine MCP Server

> Use this tool when you need to streamline AI model development with consistent and validated processes. It provides 9 pre-built workflows with smart validation to solve problems of inconsistent development practices and inefficient model deployment. The engine takes in development tasks and outputs validated workflows, ideal for use cases where standardized AI model development is crucial.

Canonical page: https://skillsregistry.net/skills/mlaurel-mcp-workflow-engine  
JSON: https://api.skillsregistry.net/v1/skills/mlaurel-mcp-workflow-engine

## Description

A Context Engineering Framework that provides 9 battle-tested development workflows with smart validation to help AI models follow consistent processes.

## Trust

- **Trust score (0–1):** 0.85
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/q3krtklg81)
- **Repository:** <https://github.com/mlaurel/mcp-workflow-engine>

## 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": "mlaurel-mcp-workflow-engine"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/mlaurel-mcp-workflow-engine` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/mlaurel-mcp-workflow-engine/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