# workflowmcp

> workflowmcp — m2ai-portfolio-workflowmcp. Use this tool when you need to define and manage complex multi-agent workflows with ease, solving problems of manual pipeline orchestration and glue code maintenance. It takes in declarative YAML configurations as input and outputs executable workflows, allowing for seamless monitoring and execution. Ideal for solo AI developers working with git version control, workflowmcp streamlines pipeline management without requiring heavyweight orchestration.

Canonical page: https://skillsregistry.net/skills/m2ai-portfolio-workflowmcp  
JSON: https://api.skillsregistry.net/v1/skills/m2ai-portfolio-workflowmcp

## Description

Declarative YAML workflow engine that lets solo AI developers define, run, and monitor multi-agent pipelines without procedural glue or heavyweight orchestration.

## Trust

- **Trust score (0–1):** 0.94
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

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

## Source

- **Source listing:** [GitHub](https://github.com/m2ai-portfolio/workflowmcp)

## 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": "m2ai-portfolio-workflowmcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/m2ai-portfolio-workflowmcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/m2ai-portfolio-workflowmcp/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