MCP Server Spec Driven Development

MCP Server: Spec-Driven Development

Skill by ara.so — MCP Skills collection

Overview

The Spec-Driven Development MCP server provides a structured workflow for systematic software development by guiding you through three stages: requirements → design → code. It uses the EARS (Easy Approach to Requirements Syntax) format for requirements documentation and ensures traceability from initial requirements to final implementation.

Key Benefits:

• Structured development workflow prevents "vibe coding"
• EARS format ensures clear, testable requirements
• Traceable path from requirements through design to code
• Systematic approach scales with project complexity

Installation

VS Code / VS Code Insiders

Add to your mcp.json configuration file:

{
  "servers": {
    "spec-driven": {
      "command": "npx",
      "args": [
        "-y",
        "mcp-server-spec-driven-development@latest"
      ]
    }
  }
}

Or use the one-click install buttons from the project README.

Cursor / Claude Desktop

Add to your mcp.json configuration file:

{
  "mcpServers": {
    "spec-driven": {
      "command": "npx",
      "args": [
        "-y",
        "mcp-server-spec-driven-development@latest"
      ]
    }
  }
}

Verification

After installation, verify the server is loaded by checking available MCP prompts. You should see three prompts:

• generate-requirements
• generate-design-from-requirements
• generate-code-from-design

Workflow & Usage

Stage 1: Generate Requirements Document

Prompt Name: generate-requirements

Use this prompt to create a structured requirements document in EARS format.

Input Example:

A Vue.js todo application with task creation, completion tracking, and local storage persistence

What happens:

• Creates specs/requirements.md in your project
• Uses EARS format (Ubiquitous, Event-driven, Unwanted behavior, State-driven, Optional)
• Structures requirements into functional and non-functional categories

Example EARS Requirements Output:

# Requirements

## Functional Requirements

### Task Management
- The system SHALL allow users to create new tasks with a title and description
- WHEN a user clicks the "Add Task" button, the system SHALL display a task creation form
- IF a task has no title, the system SHALL prevent task creation
- WHILE the application is running, the system SHALL persist all tasks to local storage
- The system MAY allow users to add tags to tasks

### Task Completion
- The system SHALL allow users to mark tasks as complete
- WHEN a task is marked complete, the system SHALL update the UI to show completion status
- The system SHALL allow users to toggle task completion status

## Non-Functional Requirements

### Performance
- The system SHALL load all tasks within 500ms
- The system SHALL respond to user interactions within 100ms

### Usability
- The system SHALL provide a clean, intuitive interface
- The system SHALL work on modern browsers (Chrome, Firefox, Safari, Edge)

Stage 2: Generate Design from Requirements

Prompt Name: generate-design-from-requirements

Use this prompt to create a design document based on your requirements.

Prerequisites:

• specs/requirements.md must exist (created in Stage 1)

What happens:

• Reads specs/requirements.md
• Creates specs/design.md with architecture, components, data models, and implementation details
• Maps requirements to design decisions

Example Design Output Structure:

# Design Document

## Architecture Overview
- Component-based Vue.js application
- Local Storage for persistence
- Reactive state management

## Component Structure

### TaskList Component
**Purpose:** Display and manage the list of tasks
**Props:**
- tasks: Array<Task>
- onTaskToggle: Function
- onTaskDelete: Function

**State:**
- filter: 'all' | 'active' | 'completed'

### TaskForm Component
**Purpose:** Handle task creation
**Events:**
- onTaskCreate(task: Task)

## Data Models

### Task Interface
```typescript
interface Task {
  id: string;
  title: string;
  description: string;
  completed: boolean;
  createdAt: Date;
  tags?: string[];
}

State Management

• Use Vue 3 Composition API
• Centralized task state in composable
• Local storage sync on state changes

API Design

• localStorage.getItem('tasks')
• localStorage.setItem('tasks', JSON.stringify(tasks))

### Stage 3: Generate Code from Design

**Prompt Name:** `generate-code-from-design`

Use this prompt to generate implementation code from your design document.

**Prerequisites:**
- `specs/design.md` must exist (created in Stage 2)

**What happens:**
- Reads `specs/design.md`
- Generates implementation files in your project root
- Creates all components, utilities, and configuration files

**Example Generated Code:**

**src/composables/useTasks.ts:**
```typescript
import { ref, computed, watch } from 'vue';

export interface Task {
  id: string;
  title: string;
  description: string;
  completed: boolean;
  createdAt: Date;
  tags?: string[];
}

const STORAGE_KEY = 'tasks';

export function useTasks() {
  const tasks = ref<Task[]>([]);

  // Load tasks from localStorage
  const loadTasks = () => {
    const stored = localStorage.getItem(STORAGE_KEY);
    if (stored) {
      tasks.value = JSON.parse(stored);
    }
  };

  // Save tasks to localStorage
  const saveTasks = () => {
    localStorage.setItem(STORAGE_KEY, JSON.stringify(tasks.value));
  };

  // Watch for changes and persist
  watch(tasks, saveTasks, { deep: true });

  // Create new task
  const createTask = (title: string, description: string, tags?: string[]) => {
    const newTask: Task = {
      id: crypto.randomUUID(),
      title,
      description,
      completed: false,
      createdAt: new Date(),
      tags
    };
    tasks.value.push(newTask);
  };

  // Toggle task completion
  const toggleTask = (id: string) => {
    const task = tasks.value.find(t => t.id === id);
    if (task) {
      task.completed = !task.completed;
    }
  };

  // Delete task
  const deleteTask = (id: string) => {
    tasks.value = tasks.value.filter(t => t.id !== id);
  };

  // Computed properties
  const activeTasks = computed(() => tasks.value.filter(t => !t.completed));
  const completedTasks = computed(() => tasks.value.filter(t => t.completed));

  // Initialize
  loadTasks();

  return {
    tasks,
    createTask,
    toggleTask,
    deleteTask,
    activeTasks,
    completedTasks
  };
}

src/components/TaskForm.vue:

<template>
  <form @submit.prevent="handleSubmit" class="task-form">
    <input
      v-model="title"
      type="text"
      placeholder="Task title"
      required
      class="task-input"
    />
    <textarea
      v-model="description"
      placeholder="Task description"
      class="task-textarea"
    />
    <button type="submit" class="submit-btn">Add Task</button>
  </form>
</template>

<script setup lang="ts">
import { ref } from 'vue';

const emit = defineEmits<{
  taskCreate: [title: string, description: string]
}>();

const title = ref('');
const description = ref('');

const handleSubmit = () => {
  if (title.value.trim()) {
    emit('taskCreate', title.value, description.value);
    title.value = '';
    description.value = '';
  }
};
</script>

<style scoped>
.task-form {
  display: flex;
  flex-direction: column;
  gap: 1rem;
  margin-bottom: 2rem;
}

.task-input, .task-textarea {
  padding: 0.5rem;
  border: 1px solid #ddd;
  border-radius: 4px;
}

.submit-btn {
  padding: 0.5rem 1rem;
  background: #42b983;
  color: white;
  border: none;
  border-radius: 4px;
  cursor: pointer;
}
</style>

Best Practices

1. Always Follow the Three-Stage Process

Don't skip stages. Each builds on the previous:

Requirements (what) → Design (how) → Code (implementation)

2. Iterate on Requirements First

Before generating design, ensure your requirements are:

• Complete
• Testable
• Unambiguous
• In proper EARS format

3. Review Generated Documents

After each stage, review and refine:

• Requirements: Are all features covered?
• Design: Does the architecture make sense?
• Code: Does it match the design?

4. Use Descriptive Initial Requirements

Good:

A real-time chat application with user authentication, message history, 
typing indicators, read receipts, file sharing up to 10MB, and emoji support. 
Must work offline with message queuing.

Too Vague:

Make a chat app

5. Maintain Spec Files

Keep specs/requirements.md and specs/design.md updated as your project evolves. These are living documents.

Common Patterns

Full Project Initialization

// Step 1: Generate requirements
// Use prompt: generate-requirements
// Input: "A REST API for blog management with posts, comments, user auth, and markdown support"

// Step 2: Generate design
// Use prompt: generate-design-from-requirements
// Reviews specs/requirements.md automatically

// Step 3: Generate code
// Use prompt: generate-code-from-design
// Reviews specs/design.md automatically

Modifying Existing Features

If you need to change a feature:

1. Update specs/requirements.md manually
2. Re-run generate-design-from-requirements
3. Re-run generate-code-from-design

Adding New Features

1. Add new requirements to specs/requirements.md in EARS format
2. Re-run generate-design-from-requirements
3. Review design changes
4. Re-run generate-code-from-design

File Structure

After running all three stages, your project will have:

project/
├── specs/
│   ├── requirements.md    # EARS format requirements
│   └── design.md           # Architecture and design decisions
├── src/                    # Generated source code
│   ├── components/
│   ├── composables/
│   └── ...
└── ...                     # Other generated files

EARS Format Reference

The EARS format structures requirements into five types:

Ubiquitous (always active)

The system SHALL [action]

Event-driven (triggered by events)

WHEN [trigger], the system SHALL [action]

Unwanted behavior (error handling)

IF [unwanted condition], the system SHALL [action]

State-driven (mode-based)

WHILE [in state], the system SHALL [action]

Optional (nice-to-have)

The system MAY [action]

Troubleshooting

Prompt Not Available

Problem: MCP server prompts don't appear in your IDE.

Solution:

1. Verify mcp.json configuration is correct
2. Restart your IDE
3. Check MCP server is running: look for "spec-driven" in MCP server list
4. Ensure Node.js 20+ is installed

Requirements File Not Found

Problem: generate-design-from-requirements fails with file not found.

Solution:

1. Ensure specs/requirements.md exists
2. Run generate-requirements first
3. Check file is in the correct location relative to project root

Design File Not Found

Problem: generate-code-from-design fails with file not found.

Solution:

1. Ensure specs/design.md exists
2. Run generate-design-from-requirements first
3. Verify file path is specs/design.md

Generated Code Doesn't Match Requirements

Problem: Implementation differs from what you specified.

Solution:

1. Review specs/requirements.md for clarity
2. Make requirements more specific using EARS format
3. Review specs/design.md to ensure it captured requirements correctly
4. Regenerate design and code after fixing requirements

Incomplete Code Generation

Problem: Not all components/files were generated.

Solution:

1. Check specs/design.md includes all necessary components
2. Add missing components to design document
3. Re-run generate-code-from-design

Advanced Usage

Multi-Module Projects

For larger projects, create separate requirement documents:

specs/
├── requirements-auth.md
├── requirements-api.md
├── requirements-ui.md
├── design-auth.md
├── design-api.md
└── design-ui.md

Then run the prompts for each module separately.

Integration with CI/CD

Keep spec files in version control to:

• Track requirement changes over time
• Review design decisions during code review
• Ensure implementation matches approved designs

Documentation Generation

The spec files serve as excellent documentation:

• requirements.md → User stories / Product requirements
• design.md → Technical documentation / Architecture decision records

Examples by Project Type

REST API Project

Requirements Input:

A RESTful API for task management with CRUD operations, user authentication 
via JWT, pagination, filtering, sorting, rate limiting, and OpenAPI documentation

Frontend Application

Requirements Input:

A React dashboard with data visualization charts, real-time updates via WebSocket,
dark mode support, responsive design, infinite scroll, and CSV export functionality

CLI Tool

Requirements Input:

A command-line tool for file conversion supporting JSON to YAML, XML to JSON,
CSV to JSON, with validation, progress indicators, and batch processing

Full-Stack Application

Requirements Input:

A full-stack e-commerce platform with product catalog, shopping cart, 
checkout process, payment integration, order tracking, admin panel, 
and email notifications