Category MCPs

Category MCPs

Overview

Category Model Context Protocols (MCPs) specialize in analyzing specific token categories and ecosystems, applying specialized metrics relevant to each sector's unique characteristics and value drivers.

Available Category Protocols

AI Tokens MCP

Tracks and analyzes AI-focused tokens with specialized attention to adoption metrics:

const aiTokensMCP = new AITokensMCP({
  assets: ['FET', 'OCEAN', 'GRT', 'RNDR', 'INJ'],
  metrics: ['utilization', 'node-growth', 'developer-activity'],
  timeframe: '30d'
});

const aiAnalysis = await aiTokensMCP.process();
// Returns: AI-specific metrics and insights

Key capabilities:

• AI adoption tracking

• Token utility metrics

• Network growth analysis

• AI sector rotation patterns

DeFi Protocol MCP

Focuses on decentralized finance protocols with emphasis on financial metrics:

const defiMCP = new DeFiProtocolMCP({
  protocols: ['uniswap', 'aave', 'curve', 'compound'],
  includeTokens: true,
  metrics: ['tvl', 'volume', 'fees', 'yields'],
  chainScope: ['ethereum', 'arbitrum', 'optimism']
});

const defiMetrics = await defiMCP.process();
// Returns: DeFi-specific performance metrics

Key capabilities:

• Total Value Locked (TVL) tracking

• Yield comparison and trends

• Protocol revenue analysis

• Cross-chain DeFi activity monitoring

Layer-1 MCP

Monitors major blockchains and their native tokens with focus on network metrics:

const layer1MCP = new Layer1MCP({
  networks: ['ethereum', 'solana', 'avalanche', 'near'],
  metrics: ['tps', 'active-addresses', 'new-contracts', 'fee-revenue'],
  includeBridgeActivity: true
});

const networkMetrics = await layer1MCP.process();
// Returns: Layer-1 specific performance metrics

Key capabilities:

• Network performance tracking

• Validator economics analysis

• Cross-chain activity monitoring

• Network security assessment

MEV Protocol MCP

Specializes in Maximal Extractable Value analysis for relevant protocols:

const mevMCP = new MEVProtocolMCP({
  networks: ['ethereum', 'arbitrum', 'optimism'],
  categories: ['frontrunning', 'backrunning', 'sandwich'],
  timeframe: '7d',
  minimalValue: 0.5  // ETH
});

const mevActivity = await mevMCP.process();
// Returns: MEV activity metrics and patterns

Key capabilities:

• MEV strategy classification

• Value extraction quantification

• MEV protection effectiveness

• Flashbots integration analysis

Gaming & Metaverse MCP

Analyzes gaming and metaverse tokens with specialized metrics:

const gamingMCP = new GamingMetaverseMCP({
  projects: ['axie', 'sandbox', 'decentraland', 'illuvium'],
  metrics: ['users', 'transactions', 'nft-volume', 'retention'],
  includeSocialMetrics: true
});

const gamingMetrics = await gamingMCP.process();
// Returns: Gaming ecosystem metrics

Key capabilities:

• User acquisition and retention tracking

• NFT market analysis

• In-game economy monitoring

• Platform engagement metrics

Additional Category MCPs

• Governance Token MCP: Specializes in DAO and governance token analytics

• Privacy Coin MCP: Focuses on privacy-focused cryptocurrencies

• Infrastructure MCP: Analyzes blockchain infrastructure providers

• Exchange Token MCP: Specializes in exchange-native token analysis

• RWA (Real World Asset) MCP: Tracks tokenized real-world assets

Integration Example

// Multi-category analysis
const crossCategoryMCP = new CrossCategoryMCP({
  categories: [
    new AITokensMCP({ /* config */ }),
    new DeFiProtocolMCP({ /* config */ }),
    new GamingMetaverseMCP({ /* config */ })
  ],
  correlationAnalysis: true,
  rotationDetection: true
});

const categoryInsights = await crossCategoryMCP.process();
// Returns: Cross-category analysis with rotation and correlation metrics

This compositional approach enables comprehensive ecosystem analysis through the combination of specialized category protocols.