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Spec Workflow MCP

by kingkongshot

Spec Workflow MCP

English | 简体中文

Guide AI to systematically complete software development through a structured Requirements → Design → Tasks workflow, ensuring code implementation stays aligned with business needs.

Why Use It?

❌ Without Spec Workflow

  • AI jumps randomly between tasks, lacking systematic approach
  • Requirements disconnect from actual code implementation
  • Scattered documentation, difficult to track project progress
  • Missing design decision records

✅ With Spec Workflow

  • AI completes tasks sequentially, maintaining focus and context
  • Complete traceability from user stories to code implementation
  • Standardized document templates with automatic progress management
  • Each stage requires confirmation, ensuring correct direction

Quick Start

1. Install (Claude Code Example)

claude mcp add spec-workflow-mcp -s user -- npx -y spec-workflow-mcp@latest

See full installation guide for other clients.

2. Start a New Project

"Help me use spec workflow to create a user authentication system"

3. Continue Existing Project

"Use spec workflow to check ./my-project"

The AI will automatically detect project status and continue from where it left off.

Workflow Example

1. You describe requirements

You: "I need to build a user authentication system"

2. AI creates structured documents

AI: "I'll help you create spec workflow for user authentication..." 📝 requirements.md - User stories and functional requirements 🎨 design.md - Technical architecture and design decisions ✅ tasks.md - Concrete implementation task list

3. Review and implement step by step

After each stage, the AI requests your confirmation before proceeding, ensuring the project stays on the right track.

Document Organization

Basic Structure

my-project/specs/ ├── requirements.md # Requirements: user stories, functional specs ├── design.md # Design: architecture, APIs, data models ├── tasks.md # Tasks: numbered implementation steps └── .workflow-confirmations.json # Status: automatic progress tracking

Multi-module Projects

my-project/specs/ ├── user-authentication/ # Auth module ├── payment-system/ # Payment module └── notification-service/ # Notification module

You can specify any directory: "Use spec workflow to create auth docs in ./src/features/auth"

AI Usage Guide

🤖 Make AI Use This Tool Better

Add the following prompt to your AI assistant configuration to enable smarter use of Spec Workflow.

Configuration Note: Please modify the following based on your needs:

  1. Change ./specs to your preferred documentation directory path
  2. Change "English" to your preferred documentation language (e.g., "Chinese")
# Spec Workflow Usage Guidelines ## 1. Check Project Progress When user mentions continuing previous project or is unsure about current progress, proactively use: specs-workflow tool with action.type="check" and path="./specs" ## 2. Documentation Language All spec workflow documents should be written in English consistently, including all content in requirements, design, and task documents. ## 3. Documentation Directory All spec workflow documents should be placed in ./specs directory to maintain consistent project documentation organization. ## 4. Task Management After completing current task, use: specs-workflow tool with action.type="complete_task" and taskNumber="current task number" This will automatically return the next pending task content.

💡 Best Practices

  1. Proactive Progress Check: When user says "continue from last time", first use check to see current status
  2. Language Consistency: Use the same language throughout all project documents
  3. Flexible Structure: Choose single-module or multi-module organization based on project scale
  4. Task Granularity: Each task should be completable within 1-2 hours

Installation

Requirements

  • Node.js ≥ v18.0.0
  • npm or yarn
  • Claude Desktop or any MCP-compatible client

Install in Different MCP Clients

Use the Claude CLI to add the MCP server:

claude mcp add spec-workflow-mcp -s user -- npx -y spec-workflow-mcp@latest
Claude Desktop

Add to your Claude Desktop configuration:

  • macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
  • Windows: %APPDATA%/Claude/claude_desktop_config.json
  • Linux: ~/.config/Claude/claude_desktop_config.json
{ "mcpServers": { "spec-workflow": { "command": "npx", "args": ["-y", "spec-workflow-mcp@latest"] } } }
Cursor

Add to your Cursor configuration (~/.cursor/config.json):

{ "mcpServers": { "spec-workflow": { "command": "npx", "args": ["-y", "spec-workflow-mcp@latest"] } } }
Cline

Use Cline's MCP server management UI to add the server:

  1. Open VS Code with Cline extension
  2. Open Cline settings (gear icon)
  3. Navigate to MCP Servers section
  4. Add new server with:
    • Command: npx
    • Arguments: -y spec-workflow-mcp@latest
Windsurf (Codeium)

Add to your Windsurf configuration (~/.codeium/windsurf/mcp_config.json):

{ "mcpServers": { "spec-workflow": { "command": "npx", "args": ["-y", "spec-workflow-mcp@latest"], "env": {}, "autoApprove": [], "disabled": false, "timeout": 60, "transportType": "stdio" } } }
VS Code (with MCP extension)

Add to your VS Code settings (settings.json):

{ "mcp.servers": { "spec-workflow": { "command": "npx", "args": ["-y", "spec-workflow-mcp@latest"] } } }
Zed

Add to your Zed configuration (~/.config/zed/settings.json):

{ "assistant": { "version": "2", "mcp": { "servers": { "spec-workflow": { "command": "npx", "args": ["-y", "spec-workflow-mcp@latest"] } } } } }

Install from Source

git clone https://github.com/kingkongshot/specs-mcp.git cd specs-mcp npm install npm run build

Then add to Claude Desktop configuration:

{ "mcpServers": { "spec-workflow": { "command": "node", "args": ["/absolute/path/to/specs-mcp/dist/index.js"] } } }

Development

# Build npm install && npm run build # Development mode npm run dev # Run tests npm test # Debug npm run inspector

License

MIT License


Install Server
A
security – no known vulnerabilities
A
license - permissive license
A
quality - confirmed to work

hybrid server

The server is able to function both locally and remotely, depending on the configuration or use case.

An intelligent MCP server that helps development teams maintain high-quality project documentation by providing an AI-powered workflow for creating comprehensive specifications through requirements, design, and implementation documents.

  1. Why Use It?
    1. ❌ Without Spec Workflow
    2. ✅ With Spec Workflow
  2. Quick Start
    1. 1. Install (Claude Code Example)
    2. 2. Start a New Project
    3. 3. Continue Existing Project
  3. Workflow Example
    1. 1. You describe requirements
    2. 2. AI creates structured documents
    3. 3. Review and implement step by step
  4. Document Organization
    1. Basic Structure
    2. Multi-module Projects
  5. AI Usage Guide
    1. 🤖 Make AI Use This Tool Better
    2. 💡 Best Practices
  6. Installation
    1. Requirements
    2. Install in Different MCP Clients
    3. Install from Source
  7. Development
    1. Links
      1. License

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