Create MCP for Numbers Mainnet #86
Description
Executive Summary
Request for the development of a Model Context Protocol (MCP) server that enables AI applications to seamlessly interact with Numbers Mainnet, the first blockchain dedicated to ensuring digital media provenance and authenticity. This integration would unlock powerful AI-driven workflows for digital content verification, asset management, and provenance tracking.
Background
Numbers Mainnet Overview
Numbers Mainnet is a Layer 1 blockchain built with Avalanche Subnet technology that serves as the archive and library of committed media history for Web3 assets. It provides cost-effective and environmentally friendly options to commit the full history of Web3 assets and functions as the default blockchain for ecosystem applications built with Numbers Protocol.
Key features include:
- Numbers ID (Nid): Unique identifiers for digital media that represent the Web3 address of digital media files on the decentralized web, binding key information such as on-creation metadata, creator information, asset changelogs and licenses to ensure integrity
- Digital Media Provenance: Immutable birth records of digital content that track changes made, allowing for collaboration and management similar to a version control system like Git
- EVM Compatibility: Built on proven blockchain technology with smart contract support
- Asset Monetization: Support for NFT minting, royalty distribution, and licensing
Proposed Feature: Numbers Mainnet MCP Server
Core Functionality
1. Asset Discovery and Verification Tools
- Asset Lookup by Nid: Query asset information using Numbers ID
- Provenance Chain Verification: Trace the complete history of digital assets
- Creator Verification: Validate creator authenticity and ownership
- License Status Check: Determine licensing terms and usage rights
- Authenticity Verification: Confirm if digital media is authentic or AI-generated
2. Asset Management Tools
- Asset Registration: Register new digital media assets on Numbers Mainnet
- Metadata Updates: Modify asset metadata and changelog entries
- License Management: Set and update licensing terms
- Ownership Transfer: Facilitate secure ownership transfers
- Asset Search: Advanced search capabilities across registered assets
3. Analytics and Reporting Tools
- Asset Analytics: Generate reports on asset usage, views, and engagement
- Revenue Tracking: Monitor royalty distributions and monetization metrics
- Trend Analysis: Identify patterns in digital media registration and usage
- Creator Insights: Provide analytics for content creators
4. Integration Tools
- Batch Operations: Process multiple assets simultaneously
- API Integration: Connect with existing content management systems
- Webhook Support: Real-time notifications for asset events
- Export Capabilities: Generate reports in various formats
Benefits and Impact
For AI Applications
- Enhanced Context: Access to rich provenance data for better content understanding
- Trust and Verification: Ability to verify content authenticity and ownership
- Automated Workflows: Streamlined processes for content management and distribution
- Compliance: Built-in support for licensing and usage tracking
For the Ecosystem
- Interoperability: Standardized way to interact with Numbers Mainnet
- Developer Adoption: Lower barrier to entry for building on Numbers Protocol