https://github.com/masa-finance/endgame-mcp-hackathon
https://github.com/masa-finance/endgame-mcp-hackathon
Last synced: 3 days ago
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- Host: GitHub
- URL: https://github.com/masa-finance/endgame-mcp-hackathon
- Owner: masa-finance
- License: mit
- Created: 2025-03-18T03:26:47.000Z (2 months ago)
- Default Branch: main
- Last Pushed: 2025-03-18T03:37:04.000Z (2 months ago)
- Last Synced: 2025-03-18T04:31:40.301Z (2 months ago)
- Size: 3.91 KB
- Stars: 0
- Watchers: 0
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# MCP (Model Context Protocol) Challenge - Masa Subnet 42
## Overview
Build an innovative Model Context Protocol (MCP) implementation for Masa's Subnet 42. Think of MCP as a USB-C port for AI applications - it standardizes how AI models connect to and utilize different data sources and contextual information.
## Prize Pool: $5,000 USDC
- 🥇 1st place: $2,500
- 🥈 2nd place: $1,250
- 🥉 3rd place: $750
- 4th place: $300
- 5th place: $200
## Challenge Requirements
### Technical Implementation (40%)
- Design and implement a Model Context Protocol
- Create interfaces for data source integration
- Develop context management systems
- Bonus: Integration with Bittensor ecosystem
### Innovation (25%)
- Novel approaches to context handling
- Creative data integration methods
- Unique applications of contextual awareness
### Performance (20%)
- Efficient resource utilization
- Low latency responses
- Scalable architecture
### Documentation (15%)
- Clear implementation guide
- Protocol specification
- Integration examples
## Repository Structure
```
.
├── src/ # Your implementation
├── docs/ # Your documentation
│ ├── IMPLEMENTATION.md
│ └── SPECIFICATION.md
├── tests/ # Your tests
└── README.md
```
## Submission Process
1. Fork this repository
2. Build your MCP implementation
3. Document your approach
4. Submit via pull request
## What is MCP?
MCP ensures models evolve beyond static training data by:
- Providing standardized access to contextual data
- Enabling real-time data integration
- Supporting dynamic context management
- Facilitating transparent decision processes
## What is Subnet 42?
Masa Subnet 42 is a decentralized data layer for AI agents and applications, featuring:
- Real-time data pipelines
- Decentralized storage solutions
- Enterprise time series capabilities
- Vector store functionality
## Evaluation Criteria
Submissions will be judged on:
- Protocol design elegance
- Implementation quality
- Performance metrics
- Documentation clarity
- Integration ease
## Getting Started
1. Clone this repository
2. Review the challenge requirements
3. Design your solution
4. Implement and test
5. Submit your work
## License
This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.