# MCP Workflow Tracker

> Use this tool when you need to monitor and analyze complex workflows involving multiple agents, to track task structures, decisions, and problems encountered. It provides inputs such as hierarchical task data, Git diffs, and temporal metrics, and outputs comprehensive workflow visibility. Ideal for use cases requiring observability into distributed workflows, such as multi-agent systems and collaborative development projects.

Canonical page: https://skillsregistry.net/skills/aceek-mcpworkflowcli  
JSON: https://api.skillsregistry.net/v1/skills/aceek-mcpworkflowcli

## Description

Provides observability for multi-agent workflows by tracking hierarchical task structure, architectural decisions, reasoning, encountered problems, code modifications with Git diffs, and temporal metrics.

## Trust

- **Trust score (0–1):** 0.90
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/dqomsaa7k4)
- **Repository:** <https://github.com/Aceek/MCPWorkflowCli>

## 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": "aceek-mcpworkflowcli"
    }
  }
}
```

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