PRD Creator MCP Server

A specialized Model Context Protocol (MCP) server dedicated to creating Product Requirements Documents. This MCP server enables AI systems connected to MCP clients to generate detailed, well-structured product requirement documents through a standardized protocol interface.

• Quick Start
• Features
• Installation
• API Reference
• Provider Configuration
• Integrations
• CLI Usage
• Docker
• Contributing
• Changelog
• Appendix

Quick Start

Via NPX (recommended):

npx -y prd-creator-mcp

Via Docker:

docker pull saml1211/prd-creator-mcp
docker run -i --rm saml1211/prd-creator-mcp

Configure Providers:

• Copy .env.example to .env and set your API keys and preferred models.
• Optionally, update provider credentials at runtime using the update_provider_config MCP tool.

Get Help:

npx prd-creator-mcp --help

Features

• PRD Generator: Create complete PRDs based on product descriptions, user stories, and requirements
• AI-Driven Generation: Generate high-quality PRDs using multiple AI providers
• Multi-Provider Support: Choose from OpenAI, Google Gemini, Anthropic Claude, or local models
• Provider Configuration: Customize provider options for each PRD generation
• Fallback Mechanism: Gracefully falls back to template-based generation when AI is unavailable
• PRD Validator: Validate PRD completeness against industry standards and customizable rule sets
• Template Resources: Access a library of PRD templates for different product types
• MCP Protocol Support: Implements the Model Context Protocol for seamless integration with MCP clients

Installation

Prerequisites

• Node.js v16 or higher
• npm or yarn

Install from source

1. Clone the repository:

git clone https://github.com/Saml1211/prd-mcp-server.git
cd prd-mcp-server

2. Install dependencies:

npm install

3. Build the project:

npm run build

4. Run locally:

npm start

5. For development with hot reload:

npm run dev

API Reference

The PRD Creator MCP Server provides the following tools:

generate_prd

Generate a complete PRD document using AI or template-based generation.

Parameters:

• productName: The name of the product
• productDescription: Description of the product
• targetAudience: Description of the target audience
• coreFeatures: Array of core feature descriptions
• constraints (optional): Array of constraints or limitations
• templateName (optional): Template name to use (defaults to "standard")
• providerId (optional): Specific AI provider to use (openai, anthropic, gemini, local, template)
• additionalContext (optional): Additional context or instructions for the AI provider
• providerOptions (optional): Provider-specific options like temperature, maxTokens, etc.

Example:

{
  "productName": "TaskMaster Pro",
  "productDescription": "A task management application that helps users organize and prioritize their work efficiently.",
  "targetAudience": "Busy professionals and teams who need to manage multiple projects and deadlines.",
  "coreFeatures": [
    "Task creation and mana

... [View full README on GitHub](https://github.com/Saml1211/PRD-MCP-Server#readme)