PRD Creator MCP Server

# Product Requirements Document: PRD Creator MCP Server ## 1. Introduction ### 1.1 Purpose This document outlines the requirements for developing a specialized Model Context Protocol (MCP) server dedicated to creating Product Requirements Documents. The PRD Creator MCP Server will enable AI systems connected to MCP clients to generate detailed, well-structured product requirement documents through a standardized protocol interface. ### 1.2 Product Vision The PRD Creator MCP Server aims to revolutionize how product requirements are documented, bridging the gap between initial product concepts and fully-specified implementation plans. By harnessing the capabilities of Model Context Protocol and Large Language Models (LLMs), this server will streamline the creation of comprehensive PRDs while ensuring consistency, completeness, and alignment with best practices in product development. ### 1.3 Problem Statement Currently, PRD creation often suffers from several key challenges: - Inconsistency in format and content across different authors and teams - Incompleteness with critical sections often missing - Misalignment between stakeholders on requirements and priorities - Time-consuming manual processes for creating comprehensive documentation - Difficulty maintaining up-to-date requirements as products evolve ### 1.4 Solution Overview The PRD Creator MCP Server addresses these challenges by providing: - Standardized templates and components for consistent PRD creation - Validation tools to ensure completeness of documentation - AI-powered requirement extraction and refinement - Integration with existing development workflows and tools - Specialized tools for PRD-specific tasks like user story generation and competitive analysis ## 2. Target Users ### 2.1 Primary User Personas #### 2.1.1 Product Managers - **Background**: Professionals responsible for defining product requirements and specifications - **Goals**: Quickly create comprehensive PRDs with consistent quality - **Pain Points**: Time spent formatting documents, ensuring completeness, and aligning stakeholders - **Usage Frequency**: Weekly to monthly #### 2.1.2 Technical Leads - **Background**: Engineering leaders translating product requirements into technical specifications - **Goals**: Access clear, structured requirements to create implementation plans - **Pain Points**: Ambiguous or incomplete requirements, missing technical details - **Usage Frequency**: Weekly #### 2.1.3 Development Teams - **Background**: Engineers and designers building products based on requirements - **Goals**: Understand clear requirements to implement features correctly - **Pain Points**: Changing requirements, unclear specifications, missing context - **Usage Frequency**: Daily to weekly as reference #### 2.1.4 Business Stakeholders - **Background**: Executives, marketing teams, and other decision-makers - **Goals**: Review and approve product requirements efficiently - **Pain Points**: Lengthy documents, difficulty tracking changes - **Usage Frequency**: Monthly or per release cycle ### 2.2 Target Organizations - Companies with complex product development processes - Organizations with cross-functional product teams - Companies seeking to standardize their requirements documentation - Teams adopting AI tools in their product development workflow ## 3. Core Features and Requirements ### 3.1 PRD Creation Tools #### 3.1.1 PRD Generator - **Description**: Creates complete PRDs based on product descriptions, user stories, and requirements - **User Stories**: - As a product manager, I want to generate a complete PRD from a high-level product description to save time - As a technical lead, I want to quickly create PRDs with all necessary technical sections - **Requirements**: - Accept inputs for product description, target audience, core features, and constraints - Generate structured PRD document with all necessary sections - Support multiple PRD templates for different product types - Allow customization of generated content - **Acceptance Criteria**: - Generator produces complete PRDs with all standard sections - Output formats include Markdown, HTML, and PDF - Generated PRDs pass validation checks for completeness - Users can modify and regenerate specific sections #### 3.1.2 Requirements Extractor - **Description**: Analyzes product descriptions, user feedback, and stakeholder interviews to extract key requirements - **User Stories**: - As a product manager, I want to extract structured requirements from stakeholder interviews to ensure I capture all needs - As an analyst, I want to process customer feedback into categorized product requirements - **Requirements**: - Accept input text from various sources (interviews, surveys, feedback) - Extract and categorize requirements by type - Identify priorities and dependencies between requirements - De-duplicate and merge similar requirements - **Acceptance Criteria**: - Accurately identifies at least 90% of explicit requirements in text - Properly categorizes requirements as functional, non-functional, etc. - Provides confidence scores for extracted requirements - Allows manual editing and refinement of results #### 3.1.3 PRD Validator - **Description**: Validates PRD completeness against industry standards and customizable rule sets - **User Stories**: - As a product manager, I want to validate my PRD against best practices to ensure I haven't missed anything important - As a team lead, I want to ensure all PRDs meet our organization's standards - **Requirements**: - Check PRDs against configurable validation rules - Identify missing sections, incomplete information, and inconsistencies - Provide actionable recommendations for improvements - Support organization-specific validation templates - **Acceptance Criteria**: - Detects common PRD issues like missing sections and incomplete requirements - Provides clear, actionable feedback for improvement - Supports validation rule customization for different product types - Rates PRD quality on standardized metrics #### 3.1.4 User Story Generator - **Description**: Creates user stories from high-level requirements - **User Stories**: - As a product manager, I want to generate comprehensive user stories from feature descriptions - As a scrum master, I want to create consistent user stories for my team's backlog - **Requirements**: - Generate well-formatted user stories with acceptance criteria - Support various user story formats - Link stories to product requirements - Support batch generation of multiple stories - **Acceptance Criteria**: - Generated stories follow industry standard format - Stories include detailed acceptance criteria - Output can be exported to common project management tools - Stories are clearly linked to parent requirements #### 3.1.5 Competitive Analysis Tool - **Description**: Generates competitive analysis sections for PRDs - **User Stories**: - As a product manager, I want to create a structured competitive analysis to understand our market position - As a product owner, I want to compare my product's features against competitors - **Requirements**: - Accept inputs for product category and competitor names - Generate structured competitive analysis with feature comparison - Support customizable comparison matrices - Include visual representation of competitive positioning - **Acceptance Criteria**: - Creates comprehensive feature comparison tables - Generates SWOT analysis for each competitor - Supports customizable comparison criteria - Produces visualizations of market positioning ### 3.2 Resource Management #### 3.2.1 PRD Templates - **Description**: Collection of industry-standard PRD templates for different product types - **User Stories**: - As a product manager, I want to select from proven PRD templates to ensure I'm following best practices - As a new team member, I want to use standardized templates to quickly create PRDs that match team standards - **Requirements**: - Provide templates for various product types (mobile apps, web services, hardware, etc.) - Support template customization and versioning - Include documentation on template usage - Allow for organization-specific template libraries - **Acceptance Criteria**: - Template library includes at least 10 industry-standard PRD formats - Templates are available through URI schema: `prd://templates/{template-name}` - Users can customize and save template variations - Templates include section explanations and best practices #### 3.2.2 Component Library - **Description**: Reusable PRD components for consistent documentation - **User Stories**: - As a product manager, I want to use standardized components for common PRD sections - As a team lead, I want to ensure consistent formatting across all team PRDs - **Requirements**: - Provide components for common PRD elements (user stories, requirements specs, diagrams) - Support component customization - Include usage guidelines for each component - Allow for component versioning - **Acceptance Criteria**: - Component library includes at least 20 commonly used PRD elements - Components are accessible through URI schema: `prd://components/{component-type}` - Users can modify and save custom components - Components maintain consistent formatting and structure #### 3.2.3 Best Practices Guide - **Description**: Resource containing PRD best practices and guidelines - **User Stories**: - As a new product manager, I want to access PRD best practices to improve my documentation - As a product lead, I want to share standardized guidelines with my team - **Requirements**: - Provide comprehensive documentation on PRD creation best practices - Include examples of high-quality PRDs - Cover industry-standard approaches to requirements documentation - Support customizable organizational guidelines - **Acceptance Criteria**: - Guide covers all major aspects of PRD creation - Content is accessible through URI schema: `prd://guides/best-practices` - Guide includes real-world examples and case studies - Content is regularly updated with current industry standards #### 3.2.4 Examples Repository - **Description**: Collection of example PRDs from various domains - **User Stories**: - As a product manager, I want to reference example PRDs in my industry to guide my work - As a team lead, I want to share exemplary PRDs with my team as learning resources - **Requirements**: - Provide diverse examples across product types and industries - Include annotations explaining PRD strengths and unique features - Support filtering and searching example repository - Allow for community contributions of new examples - **Acceptance Criteria**: - Repository contains at least 30 diverse PRD examples - Examples are accessible through URI schema: `prd://examples/{domain}/{example-name}` - Each example includes quality ratings and annotations - Users can search examples by industry, product type, and features ### 3.3 Prompt Management #### 3.3.1 Requirement Elicitation Prompts - **Description**: Prompts for extracting comprehensive requirements from stakeholders - **User Stories**: - As a product manager, I want effective prompts to use with stakeholders to gather complete requirements - As an interviewer, I want structured question templates to ensure I cover all necessary aspects - **Requirements**: - Provide prompts for different stakeholder types - Include follow-up question templates - Support customization of prompts for specific product types - Include best practices for requirement gathering - **Acceptance Criteria**: - Prompt library includes at least 20 requirement elicitation templates - Prompts effectively cover functional, non-functional, and business requirements - System provides guidance on prompt selection and usage - Users can customize and save modified prompts #### 3.3.2 Feature Specification Prompts - **Description**: Prompts for detailed feature specification - **User Stories**: - As a product owner, I want structured prompts to completely specify new features - As a technical lead, I want standardized approaches to feature documentation - **Requirements**: - Provide templates for comprehensive feature specifications - Include technical and non-technical specification approaches - Support various detail levels based on feature complexity - Include validation criteria for complete specifications - **Acceptance Criteria**: - Prompt library includes specification templates for common feature types - Templates effectively guide users to provide all necessary details - System validates specifications for completeness - Users can customize specification formats #### 3.3.3 Acceptance Criteria Prompts - **Description**: Prompts for generating thorough acceptance criteria - **User Stories**: - As a product manager, I want to generate comprehensive acceptance criteria for features - As a QA leader, I want standardized formats for test requirements - **Requirements**: - Provide templates for acceptance criteria creation - Support various formats (Given-When-Then, checklist, etc.) - Include prompts for edge cases and error handling - Support criteria generation for different feature types - **Acceptance Criteria**: - Prompt library includes templates for all common acceptance criteria formats - Generated criteria cover happy paths, edge cases, and error conditions - System provides suggestions for overlooked criteria categories - Criteria can be exported to testing and project management tools #### 3.3.4 Implementation Planning Prompts - **Description**: Prompts for creating implementation plans from requirements - **User Stories**: - As a technical lead, I want to generate implementation roadmaps from requirements - As a product manager, I want to create realistic deployment timelines - **Requirements**: - Provide templates for implementation planning - Include milestone and dependency tracking frameworks - Support resource allocation planning - Include risk assessment frameworks - **Acceptance Criteria**: - Prompt library includes templates for implementation planning - Generated plans include milestones, dependencies, and resource needs - System supports integration with project management tools - Plans can be adjusted for team size and velocity ## 4. Technical Architecture ### 4.1 System Components #### 4.1.1 Core Protocol Layer - **Description**: Implements the MCP protocol for communication with clients - **Technical Requirements**: - Implement message framing according to MCP specifications - Handle request/response linking for asynchronous operations - Support notification handling for real-time updates - Ensure protocol version compatibility - **Implementation Details**: - Based on MCP SDK (@modelcontextprotocol/sdk) - JSON-RPC 2.0 message formatting - Error handling with standardized MCP error codes - Support for protocol extensions #### 4.1.2 Transport Layer - **Description**: Handles communication between clients and server - **Technical Requirements**: - Support STDIO transport for local connections - Support SSE transport for remote connections - Implement efficient message serialization/deserialization - Handle connection management and reconnection - **Implementation Details**: - STDIO implementation for CLI-based tools - SSE implementation for web-based interfaces - Transport-agnostic message handling - Connection state management #### 4.1.3 Capabilities Layer - **Description**: Exposes specialized tools, resources, and prompts for PRD creation - **Technical Requirements**: - Implement tool registration and discovery - Manage resource access and templates - Handle prompt libraries and customization - Support capability extension and plugins - **Implementation Details**: - Tool registry with validation - Resource URI schema implementation - Prompt library management - Plugin system for extending capabilities #### 4.1.4 Storage Layer - **Description**: Manages PRD templates, component libraries, and generated documents - **Technical Requirements**: - Implement efficient storage and retrieval of templates - Handle component versioning and dependencies - Support document revision history - Implement caching for frequently used resources - **Implementation Details**: - Database integration for persistent storage - Version control for templates and components - Efficient document storage and indexing - Caching mechanisms for improved performance #### 4.1.5 Integration Layer - **Description**: Connects with external systems such as project management tools and version control - **Technical Requirements**: - Implement standardized API integration patterns - Support authentication with external systems - Handle data synchronization with external tools - Implement webhooks for event-driven integration - **Implementation Details**: - OAuth-based authentication with external services - Webhook support for real-time integration - Standardized API client implementations - Data transformation for system compatibility ### 4.2 Technical Requirements #### 4.2.1 Development Requirements - Node.js runtime environment (v16+) - TypeScript for type-safe implementation - MCP SDK (@modelcontextprotocol/sdk) for protocol implementation - Zod for schema validation and type safety - JSON-RPC 2.0 for message exchange - Database integration (PostgreSQL or MongoDB recommended) - Unit and integration testing frameworks #### 4.2.2 Integration Requirements - API client libraries for third-party services - OAuth 2.0 implementation for secure authentication - Webhook handlers for event-based integration - Data transformation utilities for cross-system compatibility - Rate limiting and caching for external API calls #### 4.2.3 Deployment Requirements - Docker support for containerized deployment - Configuration management for different environments - Logging and monitoring infrastructure - Automated testing and CI/CD pipeline support - Horizontal scaling capabilities for high availability ### 4.3 Integration Capabilities #### 4.3.1 MCP Client Integration - **Claude Desktop Integration**: Configuration for seamless integration with Claude Desktop client - **Cursor AI IDE Integration**: Configuration for integration with Cursor - **Other MCP Client Support**: Compatibility with any MCP-compatible client application #### 4.3.2 External System Integration - **Version Control Systems**: Integration with Git-based systems for PRD version tracking - **Project Management Tools**: Connection with JIRA, Asana, or similar tools for synchronizing requirements - **Wiki and Documentation Systems**: Integration with documentation platforms like Confluence or Notion - **Design Tools**: Integration capabilities with design tools like Figma for embedding design references ## 5. User Experience ### 5.1 User Interaction Flow #### 5.1.1 PRD Creation Flow 1. User selects PRD template or starts from scratch 2. System guides user through required sections 3. User provides content or uses AI generation tools 4. System validates content completeness and quality 5. User refines PRD based on validation feedback 6. System generates final document in requested format 7. User shares or exports PRD to desired destination #### 5.1.2 Requirements Generation Flow 1. User inputs product description or stakeholder feedback 2. System extracts and categorizes requirements 3. User reviews and refines extracted requirements 4. System suggests additional requirements based on gaps 5. User finalizes requirement list 6. System incorporates requirements into PRD structure #### 5.1.3 User Story Creation Flow 1. User selects requirements to convert to user stories 2. System generates initial user stories with acceptance criteria 3. User refines and prioritizes stories 4. System validates story completeness and quality 5. User finalizes user story set 6. System exports stories to PRD or project management tool ### 5.2 User Interface Requirements #### 5.2.1 Command Structure - Clear, intuitive commands for PRD creation and manipulation - Consistent command naming conventions - Comprehensive help documentation for all commands - Command auto-completion and suggestions #### 5.2.2 Interactive Refinement - Dialog-based refinement of PRD content - Context-aware suggestions for improvements - Real-time validation feedback - Incremental document building #### 5.2.3 Output Formats - Support for Markdown as primary format - HTML export with styling options - PDF generation with customizable templates - Project management tool export formats #### 5.2.4 Template Selection - Categorized template browsing - Template preview capability - Customization options for selected templates - Template combination for hybrid documents ## 6. Data Security and Privacy ### 6.1 Security Requirements #### 6.1.1 Data Protection - All PRD content treated as confidential business information - End-to-end encryption for data in transit - Secure storage of sensitive information - Regular security audits and updates #### 6.1.2 Access Control - Role-based access control for multi-user environments - Authentication for all server operations - Authorization checks for resource access - Audit logging of access events #### 6.1.3 Data Retention - Configurable data retention policies - Secure data deletion processes - Backup and recovery mechanisms - Compliance with relevant data protection regulations #### 6.1.4 Logging and Monitoring - Comprehensive logging of system operations - Monitoring for security events - Anomaly detection for suspicious activities - Regular log reviews and alerts ### 6.2 Compliance Requirements - GDPR compliance for European users - SOC 2 compliance for enterprise customers - Industry-specific regulations as applicable - Regular compliance audits and certifications ## 7. Deployment Options ### 7.1 Local Deployment - Run as a local process accessed via STDIO transport - Simple installation and configuration - Minimal resource requirements - Offline operation capability ### 7.2 Server Deployment - Deploy as a network service accessible via SSE transport - Multi-user access support - Centralized resource management - Enhanced collaboration features ### 7.3 Containerized Deployment - Docker container packaging - Kubernetes deployment support - Simplified scaling and management - Environment consistency across deployments ### 7.4 Cloud Deployment - Support for major cloud platforms (AWS, Azure, GCP) - Managed service options - Auto-scaling capabilities - High availability configuration ## 8. Implementation Approach ### 8.1 Development Methodology - Agile development process - Sprint-based delivery of features - Continuous integration and deployment - Automated testing at all levels ### 8.2 Technical Design Principles - Modular architecture for extensibility - Type safety throughout the codebase - Comprehensive error handling - Performance optimization for large documents ### 8.3 Code Quality Standards - Linting and code style enforcement - Comprehensive test coverage - Code review requirements - Documentation standards ### 8.4 Implementation Example Below is a simplified implementation example for the core server structure: ```typescript import { McpServer } from '@modelcontextprotocol/sdk/server/mcp.js'; import { StdioServerTransport } from '@modelcontextprotocol/sdk/server/stdio.js'; import { z } from 'zod'; import { generatePRD, validatePRD, extractRequirements } from './prd-utils.js'; // Create MCP server instance const server = new McpServer({ name: 'PRD Creator', version: '1.0.0', }); // Define PRD Generator tool server.tool( 'generate_prd', { productDescription: z.string(), targetAudience: z.string(), coreFeatures: z.array(z.string()), constraints: z.array(z.string()).optional(), templateName: z.string().optional(), }, async ({ productDescription, targetAudience, coreFeatures, constraints, templateName }) => { try { const prd = await generatePRD(productDescription, targetAudience, coreFeatures, constraints, templateName); return { content: [{ type: 'text', text: prd }], }; } catch (error) { return { content: [{ type: 'text', text: `Error generating PRD: ${error.message}` }], isError: true, }; } } ); // Define PRD Validator tool server.tool( 'validate_prd', { prdContent: z.string(), validationRules: z.array(z.string()).optional(), }, async ({ prdContent, validationRules }) => { try { const validationResults = await validatePRD(prdContent, validationRules); return { content: [{ type: 'text', text: JSON.stringify(validationResults, null, 2) }], }; } catch (error) { return { content: [{ type: 'text', text: `Error validating PRD: ${error.message}` }], isError: true, }; } } ); // Define Requirements Extractor tool server.tool( 'extract_requirements', { sourceText: z.string(), categoryFilter: z.string().optional(), }, async ({ sourceText, categoryFilter }) => { try { const requirements = await extractRequirements(sourceText, categoryFilter); return { content: [{ type: 'text', text: JSON.stringify(requirements, null, 2) }], }; } catch (error) { return { content: [{ type: 'text', text: `Error extracting requirements: ${error.message}` }], isError: true, }; } } ); // Define PRD Templates resource server.resource( 'prd-templates', new ResourceTemplate('prd://templates/{templateName}'), async (uri) => { const templateName = uri.pathname.split('/').pop(); try { const template = await getTemplate(templateName); return { contents: [{ uri: uri.href, text: template }], }; } catch (error) { return { contents: [], isError: true, error: `Template not found: ${templateName}`, }; } } ); // Start the server with stdio transport const transport = new StdioServerTransport(); await server.connect(transport); ``` ## 9. Success Metrics ### 9.1 Key Performance Indicators - **User Adoption**: Number of active users and organizations - **PRD Quality**: Improvement in PRD completeness and quality - **Time Savings**: Reduction in time required to create PRDs - **Standardization**: Consistency of PRDs across teams and projects - **Integration Success**: Number of successful integrations with other systems ### 9.2 Measurement Methods - Usage analytics and telemetry - Quality scoring based on validation metrics - Time tracking comparison with traditional methods - User surveys and feedback collection - Integration usage statistics ## 10. Future Enhancements ### 10.1 Potential Extensions - Advanced AI-powered requirement prediction - Real-time collaborative editing features - Natural language querying of requirements - Advanced visualization tools for requirement relationships - Integration with requirement tracing systems ### 10.2 Scalability Considerations - Support for enterprise-scale document repositories - Performance optimization for large organizations - Multi-region deployment support - High-availability configurations ## Conclusion The PRD Creator MCP Server represents a significant advancement in product documentation practices, leveraging the Model Context Protocol to provide specialized PRD creation capabilities to AI-powered applications. By implementing this server according to the specifications outlined in this document, organizations can standardize and streamline their PRD creation process, resulting in higher quality product specifications and more efficient product development workflows.