Transform Your Development with AceFlow MCP: AI‑Powered Project Management in 8 Simple Steps

Core Value Proposition

Make AI your project‑management expert. AceFlow MCP converts the complex software‑development lifecycle into a simple conversational workflow across eight standardized stages.

Who Should Use AceFlow MCP?

Beginners

Zero coding experience can build a full application.

Natural‑language guidance at every step.

AI‑coding enthusiasts

Standardized development process and quality assurance.

Cross‑dialogue state continuity.

Enterprise teams

Unified workflow and enterprise‑grade quality standards.

Complete testing and deployment solutions.

Enterprise‑level security and compliance.

Intelligent Workflow Engine

8‑Stage Standardized Process

需求分析
任务分解
测试设计
功能实现
单元测试
集成测试
端到端测试
部署上线

Smart State Management

Automatic persistence of each stage.

Cross‑dialogue continuity.

Real‑time progress tracking.

Built‑in quality monitoring.

AceFlow MCP Toolset

Installation

PyPI package:

aceflow-mcp-server

# Install AceFlow MCP Server
pip install aceflow-mcp-server
# Upgrade to latest
pip install --upgrade aceflow-mcp-server

Client Configuration (uvx)

{
  "mcpServers": {
    "aceflow": {
      "command": "uvx",
      "args": ["aceflow-mcp-server@latest"],
      "env": {"ACEFLOW_LOG_LEVEL": "INFO"}
    }
  }
}

Core Commands

aceflow_init – initialize a project (mode, name, directory).

aceflow_stage – view or change stage status.

aceflow_validate – run code quality, test coverage, security scans.

aceflow_template – manage workflow templates.

Full Technology Stack

Frontend

Vue 3 + Composition API

Vite

Element Plus

Pinia

Backend

FastAPI (async)

DuckDB (analytics)

JWT authentication

Pydantic validation

Testing & Deployment

Playwright for end‑to‑end tests

Docker containers

CI/CD pipelines (GitHub Actions)

Prometheus + Grafana monitoring

Real‑World Case: TaskMaster v1

Completed all eight stages, 1860 lines of high‑quality code, 100 % test coverage, production‑ready deployment.

Quick‑Start Guide

Prepare a PRD document.

Run aceflow_init with the desired mode (minimal, standard, complete, smart).

Follow AI‑driven prompts to generate requirements, design architecture, define tests, and deploy.

Quality & Security Assurance

Testing Strategy

Unit tests > 80 % coverage.

Integration tests > 90 % API coverage.

E2E tests cover 100 % user flows.

Performance: API response < 200 ms.

Security Features

Data isolation per user.

JWT + multi‑factor authentication.

HTTPS + TLS 1.3.

GDPR and SOC 2 compliance.

Why Choose AceFlow MCP?

Standardized, AI‑driven workflow.

Continuous state across conversations.

Enterprise‑grade security and performance.

Extensible with third‑party tools (SonarQube, Prometheus, Vault, etc.).