# projectflow-dag-mcp

> projectflow-dag-mcp — wjmiracle-projectflow-dag-mcp. Use this tool when you need to coordinate and manage complex AI coding tasks in a local environment, leveraging a directed acyclic graph (DAG) to streamline workflows and ensure model independence. It solves problems related to task sequencing, progress tracking, and validation, providing a static visual UI and resumable JSON progress for efficient workflow management. Ideal for use cases requiring flexible, validated, and transparent task coordination, with inputs including JSON progress files and outputs including coordinated task sequences and validated state machine updates.

Canonical page: https://skillsregistry.net/skills/wjmiracle-projectflow-dag-mcp  
JSON: https://api.skillsregistry.net/v1/skills/wjmiracle-projectflow-dag-mcp

## Description

A local, model-independent DAG task coordinator for AI coding agents, with a static visual UI, validated state machine, resumable JSON progress, and MCP tools.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** productivity
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/i7b1nwznja)
- **Repository:** <https://github.com/wjmiracle/projectflow-dag-mcp>

## 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": "wjmiracle-projectflow-dag-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/wjmiracle-projectflow-dag-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/wjmiracle-projectflow-dag-mcp/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