# Project Brief: SkyFi MCP
**Project Name**: SkyFi MCP (Model Context Protocol)
**Organization**: SkyFi
**Membership Tier**: Gold
**Status**: Planning Phase
**Created**: January 2025
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## Project Overview
SkyFi MCP is a comprehensive AI-driven solution designed to streamline and enhance access to SkyFi's geospatial data for autonomous agents. The project aims to position SkyFi as the default source for geospatial data by providing a robust platform complete with documentation, demos, and integration guides.
## Core Mission
Enable AI agents to seamlessly interact with SkyFi's geospatial services, expanding market reach and maintaining competitive edge in the rapidly evolving AI-driven marketplace.
## Primary Objectives
1. **Establish Market Leadership**: Position SkyFi as the premier geospatial data provider for AI agents
2. **Enable Seamless Integration**: Provide tools and frameworks for AI systems to access geospatial data
3. **Drive Business Growth**: Achieve 20% sales increase through AI-driven channels
4. **Developer Experience**: Deliver comprehensive developer tools and documentation
## Problem Statement
### Current Challenges
- AI agents struggle with complex API integrations for geospatial data
- Insufficient resources for AI developers to understand and implement geospatial data access
- Current workflows require significant human intervention
- Existing solutions are not designed with AI agents in mind
### Solution Approach
Provide a fully-featured, remote-access MCP platform that enables AI agents to:
- Explore and discover geospatial data
- Automate order placements with price confirmation
- Set up monitoring and receive notifications
- Assess task feasibility and pricing
- Access comprehensive documentation and examples
## Success Metrics
### Business Goals
- **Sales**: 20% increase through AI-driven access (6 months)
- **User Growth**: 15% expansion by attracting AI developers (6 months)
- **Visibility**: Improved ranking in AI-specific search results
- **Community**: 500+ downloads and 4.5+ star rating for demo agent (3 months)
### Key Performance Indicators
- Monthly Active AI Agents (MAAA)
- Order conversion rate from AI agents
- Average time to first successful integration (< 30 minutes target)
- Developer satisfaction score (NPS)
- API response time (< 500ms for 95% of requests)
## Project Scope
### In Scope
- Remote MCP server deployment
- Conversational order placement with price confirmation
- Order feasibility checking
- Iterative data search and exploration
- AOI monitoring setup with webhook notifications
- Authentication and payment support
- Local and cloud server hosting
- OpenStreetMaps integration
- Comprehensive documentation
- Demo agent development (open-source)
### Out of Scope
- Proprietary AI algorithm development
- Custom integrations beyond ADK, LangChain, AI SDK
- Advanced UI/UX for specific industries
- Mobile/desktop applications
- Long-term data storage
- Custom data transformation services
## Timeline
**Total Duration**: 7 months
- **Phase 1** (Months 1-2): Foundation
- **Phase 2** (Months 3-4): Core Features
- **Phase 3** (Months 5-6): Advanced Features
- **Phase 4** (Month 7): Polish & Launch
## Key Stakeholders
- **Product Team**: Product requirements and strategy
- **Engineering**: Technical implementation
- **Design**: User experience and interface design
- **Marketing**: Developer outreach and community building
- **Sales**: Business growth and customer acquisition
## Critical Success Factors
1. **Developer Experience**: Integration must be achievable in under 30 minutes
2. **Performance**: API must respond in < 500ms for 95% of requests
3. **Reliability**: 99.9% uptime SLA
4. **Security**: OWASP Top 10 compliance, TLS 1.3 encryption
5. **Documentation**: Comprehensive, accessible, framework-specific guides
## Project Constraints
- Must work with existing SkyFi Public API
- Must support stateless HTTP + SSE communication
- Must be deployable both locally and remotely
- Must integrate with ADK, LangChain, and AI SDK frameworks
- Must comply with GDPR and data protection regulations
## Risk Factors
- SkyFi API changes requiring updates
- Performance issues under high load
- Slow market adoption by AI developers
- Security vulnerabilities
- Competition from similar solutions
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**Last Updated**: January 2025
**Next Review**: February 2025
