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
Via NPX (recommended):
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
- Clone the repository:
git clone https://github.com/Saml1211/prd-mcp-server.git
cd prd-mcp-server
- Install dependencies:
- Build the project:
- Run locally:
- For development with hot reload:
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 productproductDescription: Description of the producttargetAudience: Description of the target audiencecoreFeatures: Array of core feature descriptionsconstraints (optional): Array of constraints or limitationstemplateName (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 providerproviderOptions (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 management",
"Priority setting",
"Due date tracking",
"Team collaboration"
],
"constraints": [
"Must work offline",
"Must support mobile and desktop platforms"
],
"templateName": "comprehensive",
"providerId": "openai",
"additionalContext": "Focus on enterprise features and security",
"providerOptions": {
"temperature": 0.5,
"maxTokens": 4000
}
}
validate_prd
Validate a PRD document against best practices.
Parameters:
prdContent: The PRD content to validatevalidationRules (optional): Array of validation rule IDs to check
Example:
{
"prdContent": "# My Product
## Introduction
...",
"validationRules": ["has-introduction", "minimum-length"]
}
list_validation_rules
List all available validation rules.
list_ai_providers
List all available AI providers and their availability status.
Example response:
[
{
"id": "openai",
"name": "OpenAI",
"available": true
},
{
"id": "anthropic",
"name": "Anthropic Claude",
"available": false
},
{
"id": "gemini",
"name": "Google Gemini",
"available": false
},
{
"id": "local",
"name": "Local Model",
"available": false
},
{
"id": "template",
"name": "Template-based (No AI)",
"available": true
}
]
Template Management
The server provides additional tools for template management:
create_template: Create a new PRD templatelist_templates: List all available templatesget_template: Get a specific templateupdate_template: Update an existing templatedelete_template: Delete a templateexport_templates: Export templates to JSONimport_templates: Import templates from JSONrender_template: Render a template with placeholders
System Management
get_provider_config: Get current provider configurationupdate_provider_config: Update provider configurationhealth_check: Check system health and provider availabilityget_logs: Get recent system logsstats: Get usage statistics
Provider Configuration & Hot Reload
Configuring AI Providers
You can configure provider credentials and models in two ways:
- .env file: Place a
.env file in your project or working directory. Use .env.example as a template. All standard AI provider variables (e.g., OPENAI_API_KEY, OPENAI_MODEL, etc.) are supported.
- Live protocol tools: Update provider configuration at runtime using the
update_provider_config tool via your MCP client. These changes are persisted and take effect immediately—no server restart required.
The server will always merge persistent config (from protocol tools) with environment variables, giving precedence to protocol/tool updates.
Hot Reload & Automation
When you update provider settings using either method, changes take effect instantly for all new requests. This enables:
- Seamless automation and scripting via MCP tool interfaces
- Hassle-free credential rotation and model switching
- Dynamic environment support for CI/CD and cloud deployments
Integrations
Claude Desktop
Add to claude_desktop_config.json:
{
"mcpServers": {
"prd-creator": {
"command": "npx",
"args": ["-y", "prd-creator-mcp"]
}
}
}
Glama.ai
Available at: https://glama.ai/mcp/servers/@Saml1211/PRD-MCP-Server
Cursor
Add to your Cursor MCP client configuration:
{
"mcpServers": {
"prd-creator": {
"command": "npx",
"args": ["-y", "prd-creator-mcp"]
}
}
}
Roo Code
Add to .roo/mcp.json:
{
"mcpServers": {
"prd-creator-mcp": {
"command": "npx",
"args": ["-y", "prd-creator-mcp"]
}
}
}
Cline
Reference prd-creator-mcp in your MCP workflow definitions.
CLI Usage
Install Globally (optional)
You may also install the MCP server globally to expose the CLI:
npm install -g prd-creator-mcp
Then run:
Command Reference
prd-creator-mcp
Runs the MCP server (STDIO transport).
Use directly via npx or as a globally installed CLI for integration with MCP clients and tools.
Uninstall
To remove the global CLI:
npm uninstall -g prd-creator-mcp
CLI Options
View available command line options:
npx prd-creator-mcp --help
Docker
Building the Docker image
docker build -t prd-creator-mcp .
Running with Docker
docker run -i --rm prd-creator-mcp
With environment variables
docker run -i --rm -e OPENAI_API_KEY=your_key_here prd-creator-mcp
Contributing
Please read CONTRIBUTING.md and CODE_OF_CONDUCT.md before submitting issues or pull requests.
Changelog
All notable changes to this project are documented in CHANGELOG.md.
Appendix
Useful Links
