SkyFi MCP Server

# SkyFi MCP - Product Requirements Document **Version:** 1.0 **Date:** January 2025 **Organization:** SkyFi **Membership Tier:** Gold **Status:** Draft --- ## 1. Executive Summary SkyFi MCP (Model Context Protocol) is a comprehensive AI-driven solution designed to streamline and enhance access to SkyFi's geospatial data for autonomous agents. As AI systems increasingly influence purchasing decisions, SkyFi MCP aims to position SkyFi as the default source for geospatial data by providing a robust platform complete with documentation, demos, and integration guides. This initiative will empower AI agents to seamlessly interact with SkyFi's services, thus expanding market reach and maintaining competitive edge in the rapidly evolving AI-driven marketplace. ### Key Objectives - Establish SkyFi as the premier geospatial data provider for AI agents - Enable seamless integration between AI systems and SkyFi's geospatial services - Drive measurable business growth through AI-driven sales channels - Provide comprehensive developer tools and documentation --- ## 2. Problem Statement ### Current State With the proliferation of autonomous AI systems across various industries, the need for seamless access to high-quality geospatial data has become critical. Current solutions lack the comprehensive integration required for AI agents to efficiently interact with geospatial platforms. ### Pain Points - **Integration Complexity**: AI agents struggle with complex API integrations for geospatial data - **Limited Documentation**: Insufficient resources for AI developers to understand and implement geospatial data access - **Manual Processes**: Current workflows require significant human intervention for data exploration and order placement - **Lack of AI-Optimized Interfaces**: Existing solutions are not designed with AI agents in mind ### Solution SkyFi MCP addresses this gap by offering a fully-featured, remote-access platform that allows AI agents to perform complex tasks such as: - Data exploration and discovery - Automated order placements with price confirmation - Monitoring setup and configuration - Task feasibility assessment - Pricing exploration --- ## 3. Goals & Success Metrics ### Primary Goals #### 3.1 Sales Increase - **Target**: Boost sales by 20% through enhanced AI-driven access to services - **Measurement**: Track sales volume from AI-driven orders vs. traditional channels - **Timeline**: 6 months post-launch #### 3.2 User Growth - **Target**: Expand user base by 15% by attracting AI developers and agents - **Measurement**: - New developer registrations - Active AI agent integrations - API usage growth - **Timeline**: 6 months post-launch #### 3.3 AI Search Results - **Target**: Improve visibility and ranking in AI-specific search results - **Measurement**: - Search engine rankings for "geospatial data AI" and related terms - Mentions in AI developer communities - Integration in popular AI frameworks - **Timeline**: Ongoing #### 3.4 Open Source Engagement - **Target**: Achieve at least 500 downloads and 4.5-star average rating for the open-source demo agent - **Measurement**: - GitHub/GitLab stars and forks - Package download statistics - Community ratings and reviews - **Timeline**: 3 months post-launch ### Key Performance Indicators (KPIs) - Monthly Active AI Agents (MAAA) - Order conversion rate from AI agents - Average time to first successful integration - Developer satisfaction score (NPS) - API response time and uptime --- ## 4. Target Users & Personas ### 4.1 AI Developers **Profile**: Software engineers building AI applications that require geospatial data **Needs**: - Seamless integration tools and comprehensive documentation - Code examples and SDKs for preferred frameworks - Reliable API access with clear error handling - Testing and development environments **Pain Points**: - Complex API documentation - Lack of framework-specific examples - Difficult authentication flows **Success Criteria**: Can integrate SkyFi MCP in under 30 minutes ### 4.2 Enterprise Customers **Profile**: Large organizations requiring reliable, scalable solutions for AI-driven geospatial data access **Needs**: - Enterprise-grade reliability and support - Scalable infrastructure - Custom monitoring and alerting - SLA guarantees - Multi-user credential management **Pain Points**: - Limited scalability in current solutions - Lack of enterprise features - Insufficient support channels **Success Criteria**: Can deploy at scale with confidence ### 4.3 Research Institutions **Profile**: Academic and research organizations seeking advanced tools for data exploration and analysis **Needs**: - Advanced data exploration capabilities - Research-friendly pricing - Comprehensive data catalogs - Export and analysis tools - Documentation for research use cases **Pain Points**: - Limited data discovery tools - Complex pricing structures - Insufficient metadata **Success Criteria**: Can discover and access relevant data efficiently ### 4.4 End Users **Profile**: Individuals and small teams using AI systems that interact with geospatial data **Needs**: - Intuitive interfaces to interact with complex AI systems - Clear pricing information - Order confirmation and tracking - Simple authentication **Pain Points**: - Complex user interfaces - Unclear pricing - Lack of order visibility **Success Criteria**: Can complete orders without technical assistance --- ## 5. User Stories ### Epic 1: AI Agent Integration **As an AI Developer**, I want to integrate SkyFi MCP with my AI agent so that I can automate geospatial data access and decision-making. **Acceptance Criteria**: - MCP server can be deployed remotely or locally - Clear integration documentation for major AI frameworks - Authentication flow is straightforward - Example code is provided for common use cases ### Epic 2: Monitoring & Notifications **As an Enterprise Customer**, I want to set up monitoring and notifications for areas of interest so that I receive timely data updates. **Acceptance Criteria**: - Can define Areas of Interest (AOI) programmatically - Webhook configuration for notifications - Monitoring status can be checked via API - Notifications include relevant data updates ### Epic 3: Data Exploration **As a Researcher**, I want to explore available geospatial data so that I can conduct comprehensive analyses. **Acceptance Criteria**: - Can search data catalogs iteratively - Previous searches can be referenced - Data metadata is comprehensive - Can preview data before ordering ### Epic 4: Order Management **As an End User**, I want to review pricing options and confirm orders so that I can manage my budget effectively. **Acceptance Criteria**: - Pricing information is clear and accurate - Order feasibility is checked before placement - Order confirmation includes all relevant details - Order history is accessible ### Epic 5: Task Feasibility **As an AI Agent**, I want to check task feasibility and pricing before committing so that I can make informed decisions. **Acceptance Criteria**: - Can query feasibility without placing orders - Pricing estimates are provided - Error messages are clear and actionable - Multiple scenarios can be evaluated --- ## 6. Functional Requirements ### 6.1 P0: Must-Have Requirements #### 6.1.1 MCP Server Deployment - **REQ-001**: Deploy a remote MCP server based on SkyFi's public API methods - Support for stateless HTTP + SSE (Server-Sent Events) communication - RESTful API design following MCP specifications - Support for both remote and local server hosting #### 6.1.2 Order Management - **REQ-002**: Enable conversational order placement with price confirmation - Natural language order processing - Price calculation and confirmation before order submission - Order status tracking and updates #### 6.1.3 Feasibility Checking - **REQ-003**: Check order feasibility and report to users before placement - Pre-order validation - Clear feasibility reports - Alternative suggestions when orders are not feasible #### 6.1.4 Data Search & Exploration - **REQ-004**: Support iterative data search and previous orders exploration - Multi-step search refinement - Search history and context preservation - Previous order retrieval and analysis #### 6.1.5 Task & Pricing Exploration - **REQ-005**: Facilitate task feasibility and pricing exploration - Non-committal pricing queries - Task feasibility assessment - Cost estimation tools #### 6.1.6 Monitoring & Notifications - **REQ-006**: Enable AOI monitoring setup and notifications via webhooks - Area of Interest (AOI) definition and management - Webhook configuration for real-time notifications - Monitoring status tracking #### 6.1.7 Authentication & Payment - **REQ-007**: Ensure authentication and payment support - Secure API key management - OAuth 2.0 support (if applicable) - Payment method integration - Billing and invoice access #### 6.1.8 Local Server Support - **REQ-008**: Allow local server hosting and stateless HTTP + SSE communication - Docker containerization for easy deployment - Configuration management - Local credential storage #### 6.1.9 Integration Support - **REQ-009**: Integrate OpenStreetMaps and provide comprehensive documentation - OpenStreetMaps integration for geospatial context - Comprehensive API documentation - Code examples and tutorials - Framework-specific guides (ADK, LangChain, AI SDK) ### 6.2 P1: Should-Have Requirements #### 6.2.1 Cloud Deployment - **REQ-010**: Support cloud deployment with multi-user access credentials - Multi-tenant architecture - User role management - Credential isolation and security #### 6.2.2 Demo Agent - **REQ-011**: Develop a polished demo agent for deep research - Fully functional example implementation - Best practices demonstration - Open-source availability - Comprehensive README and documentation ### 6.3 P2: Nice-to-Have Requirements #### 6.3.1 Advanced AI Interactions - **REQ-012**: Enhance UX with advanced AI-driven interaction capabilities - Natural language query understanding - Context-aware suggestions - Predictive ordering - Intelligent error recovery --- ## 7. Non-Functional Requirements ### 7.1 Performance - **NFR-001**: Must handle concurrent requests efficiently - Support minimum 100 concurrent connections - API response time < 500ms for 95% of requests - Graceful degradation under load ### 7.2 Security - **NFR-002**: Ensure secure authentication and data transactions - TLS 1.3 encryption for all communications - API key rotation support - Rate limiting and DDoS protection - Security audit logging - OWASP Top 10 compliance ### 7.3 Scalability - **NFR-003**: Support scaling to accommodate growing user base - Horizontal scaling capability - Auto-scaling based on load - Database connection pooling - Caching strategy for frequently accessed data ### 7.4 Compliance - **NFR-004**: Adhere to data protection and privacy regulations - GDPR compliance - Data retention policies - User data export capabilities - Privacy policy adherence ### 7.5 Reliability - **NFR-005**: Ensure high availability and reliability - 99.9% uptime SLA - Automated failover mechanisms - Health check endpoints - Monitoring and alerting ### 7.6 Usability - **NFR-006**: Maintain developer-friendly interfaces - Clear error messages - Comprehensive logging - API versioning strategy - Backward compatibility --- ## 8. User Experience & Design Considerations ### 8.1 Key Workflows #### Workflow 1: Initial Integration 1. Developer discovers SkyFi MCP 2. Reviews documentation and examples 3. Obtains API credentials 4. Deploys MCP server (local or remote) 5. Tests with sample queries 6. Integrates with AI agent #### Workflow 2: Data Discovery & Ordering 1. AI agent initiates data search 2. Iteratively refines search criteria 3. Reviews available data options 4. Checks pricing and feasibility 5. Confirms order details 6. Places order 7. Monitors order status #### Workflow 3: Monitoring Setup 1. Defines Area of Interest (AOI) 2. Configures monitoring parameters 3. Sets up webhook endpoints 4. Activates monitoring 5. Receives notifications for updates ### 8.2 Interface Principles - **Clarity**: All interfaces should be self-explanatory - **Consistency**: Follow established patterns and conventions - **Feedback**: Provide clear status updates and confirmations - **Error Handling**: Graceful error messages with actionable guidance - **Documentation**: Contextual help and examples readily available ### 8.3 Accessibility - **WCAG 2.1 AA Compliance**: Ensure accessibility for users with disabilities - **API Accessibility**: Well-structured, machine-readable API responses - **Documentation**: Accessible documentation formats (Markdown, HTML) - **Keyboard Navigation**: Support for keyboard-only interactions where applicable --- ## 9. Technical Requirements ### 9.1 System Architecture - **Architecture Pattern**: Microservices architecture for modularity - **Communication**: RESTful APIs with Server-Sent Events (SSE) for real-time updates - **State Management**: Stateless design with external state storage - **Deployment**: Support for containerized deployments (Docker) ### 9.2 Technology Stack #### Core Frameworks - **ADK**: Integration with AI Development Kit - **LangChain**: Support for LangChain framework - **AI SDK**: Integration with AI SDK frameworks #### Mapping & Geospatial - **OpenStreetMaps**: Integration for geospatial context and visualization #### APIs - **SkyFi Public API**: Primary data source and service provider - **Major Provider APIs**: Integration with key geospatial data providers ### 9.3 Data Requirements #### Credential Storage - **Local Storage**: Secure local credential management - **Cloud Storage**: Multi-user credential storage with encryption - **Credential Rotation**: Support for API key rotation #### Data Formats - **Input**: JSON, GeoJSON for geospatial data - **Output**: JSON, standardized response formats - **Metadata**: Comprehensive metadata for all data products ### 9.4 Integration Points #### External Services - SkyFi Public API - OpenStreetMaps API - Webhook endpoints (user-provided) - Payment processing systems #### Internal Components - Authentication service - Order management system - Monitoring service - Notification service - Pricing engine --- ## 10. Dependencies & Assumptions ### 10.1 Dependencies #### Technical Dependencies - **SkyFi Public API**: Availability and stability of SkyFi's public API - **API Documentation**: Comprehensive and up-to-date API documentation - **OpenStreetMaps**: Access to OpenStreetMaps services and data - **Provider APIs**: Access to major geospatial data provider APIs #### Infrastructure Dependencies - Cloud hosting infrastructure (for remote deployment option) - CDN for documentation and static assets - Monitoring and logging infrastructure ### 10.2 Assumptions #### Technical Assumptions - AI developers are familiar with preferred frameworks (ADK, LangChain, AI SDK) - Developers have basic understanding of REST APIs and HTTP protocols - MCP protocol specifications are stable and well-documented #### Business Assumptions - SkyFi API will maintain backward compatibility during development - Market demand for AI-driven geospatial data access will continue to grow - Open-source community will contribute to demo agent improvements #### User Assumptions - Users have basic technical knowledge for integration - Users have access to development environments - Users understand geospatial data concepts --- ## 11. Out of Scope ### 11.1 Development Exclusions - **Proprietary AI Algorithms**: Development of custom AI algorithms beyond integration - **Custom Integrations**: Integrations beyond specified frameworks (ADK, LangChain, AI SDK) - **Advanced UI/UX**: Industry-specific UI/UX enhancements beyond core functionality - **Mobile Applications**: Native mobile app development - **Desktop Applications**: Standalone desktop application development ### 11.2 Feature Exclusions - **Data Processing**: Advanced data processing and analysis tools - **Visualization Tools**: Custom visualization and mapping interfaces - **Workflow Automation**: Complex workflow automation beyond basic monitoring - **Multi-language Support**: Internationalization beyond English (initial release) ### 11.3 Service Exclusions - **Data Storage**: Long-term data storage solutions - **Data Transformation**: Custom data transformation services - **Consulting Services**: Custom implementation consulting - **Training Services**: Formal training programs (documentation only) --- ## 12. Implementation Phases ### Phase 1: Foundation (Months 1-2) - Core MCP server implementation - Basic API integration with SkyFi - Authentication and credential management - Initial documentation ### Phase 2: Core Features (Months 3-4) - Order placement with price confirmation - Feasibility checking - Data search and exploration - OpenStreetMaps integration ### Phase 3: Advanced Features (Months 5-6) - Monitoring and webhook notifications - Cloud deployment support - Demo agent development - Comprehensive documentation ### Phase 4: Polish & Launch (Month 7) - Performance optimization - Security hardening - Final testing and QA - Public launch and marketing --- ## 13. Risk Assessment ### 13.1 Technical Risks - **API Changes**: SkyFi API changes may require updates - *Mitigation*: Version API, maintain backward compatibility - **Performance Issues**: High load may impact performance - *Mitigation*: Load testing, auto-scaling, caching - **Integration Complexity**: Framework integrations may be complex - *Mitigation*: Early prototyping, community feedback ### 13.2 Business Risks - **Market Adoption**: Slow adoption by AI developers - *Mitigation*: Strong marketing, developer outreach, open-source demo - **Competition**: Competitors may launch similar solutions - *Mitigation*: Focus on quality, comprehensive documentation, community building ### 13.3 Operational Risks - **Support Load**: High support demand - *Mitigation*: Comprehensive documentation, community forums, automated responses - **Security Vulnerabilities**: Potential security issues - *Mitigation*: Security audits, penetration testing, regular updates --- ## 14. Success Criteria ### Launch Success - MCP server deployed and accessible - Documentation complete and reviewed - Demo agent published and functional - At least 10 beta testers successfully integrated ### 3-Month Success - 100+ developer registrations - 50+ active integrations - Demo agent: 200+ downloads, 4.0+ star rating - Zero critical security issues ### 6-Month Success - 20% sales increase from AI-driven orders - 15% user base growth - Demo agent: 500+ downloads, 4.5+ star rating - Featured in AI developer communities --- ## 15. Appendices ### 15.1 Glossary - **MCP**: Model Context Protocol - **AOI**: Area of Interest - **SSE**: Server-Sent Events - **ADK**: AI Development Kit - **API**: Application Programming Interface ### 15.2 References - SkyFi Public API Documentation - MCP Protocol Specification - OpenStreetMaps Documentation - ADK, LangChain, AI SDK Documentation ### 15.3 Document History | Version | Date | Author | Changes | |---------|------|--------|---------| | 1.0 | January 2025 | Product Team | Initial PRD creation | --- **Document Owner**: Product Team **Stakeholders**: Engineering, Design, Marketing, Sales **Review Cycle**: Monthly **Next Review Date**: February 2025