cryptoiz-mcp
MCP ServerFreeCryptoIZ MCP v4.16.17 — AI-powered Solana DEX whale intelligence. 9 tools (7 paid + 2 free): whale alpha scanner, divergence (hidden/breakout/classic), accumulation/neutral/distribution phase scoring, BTC macro regime, BTC Futures signal. Pay per call with USDC via x402 Dexter — gas sponsored, no SO
Capabilities10 decomposed
whale-alpha-scanner-with-solana-dex-integration
Medium confidenceScans Solana DEX order books and on-chain transaction patterns to identify large whale accumulation/distribution signals in real-time. Integrates directly with Solana RPC endpoints to fetch mempool data and historical whale wallet movements, then applies proprietary scoring algorithms to surface high-conviction alpha opportunities before retail market participants.
Directly queries Solana RPC mempool and historical transaction data with proprietary whale behavior scoring (accumulation/distribution phase detection) rather than relying on third-party blockchain indexers, enabling sub-second signal freshness and custom threshold tuning per user
Faster whale detection than Nansen or Arkham Intelligence for Solana because it queries RPC directly instead of waiting for indexed data, and cheaper than subscription-based whale tracking services via pay-per-call USDC model
divergence-pattern-detection-hidden-breakout-classic
Medium confidenceAnalyzes token price action and volume patterns to detect three types of technical divergences: hidden divergence (continuation signals), breakout divergence (reversal setup), and classic divergence (momentum exhaustion). Uses candlestick OHLCV data from Solana DEX to compute RSI/MACD indicators and identify price-momentum misalignments that precede directional moves.
Implements three distinct divergence detection algorithms (hidden/breakout/classic) with configurable RSI/MACD thresholds, allowing traders to tune sensitivity per market regime rather than using fixed indicator parameters like most TA tools
More granular divergence classification than TradingView alerts (which only flag classic divergence), and cheaper than hiring human technical analysts to manually scan charts
accumulation-phase-scoring-with-whale-behavior-analysis
Medium confidenceScores tokens on a 0-100 scale based on whale accumulation behavior patterns: large wallet inflows, decreasing sell pressure, increasing buy volume concentration. Analyzes on-chain wallet movements and DEX order flow to determine if whales are actively accumulating positions, outputting a quantified accumulation phase score that feeds into trading decision systems.
Combines multiple on-chain signals (wallet inflows, order book imbalance, sell pressure decay) into a single 0-100 accumulation score with configurable weighting, rather than binary accumulation/not-accumulation classification used by competitors
More actionable than Glassnode's accumulation metrics because it's Solana-specific and includes real-time DEX order flow, whereas Glassnode focuses on exchange flows and has multi-day lag
neutral-phase-detection-for-consolidation-periods
Medium confidenceIdentifies tokens in neutral consolidation phases where whale activity is balanced (neither accumulating nor distributing) and price action is range-bound. Uses on-chain volume distribution, order book depth analysis, and wallet movement patterns to detect equilibrium periods that often precede directional breakouts.
Detects neutral phases by analyzing order book depth symmetry and whale wallet movement balance rather than just price volatility metrics, enabling detection of equilibrium states even during high-volume consolidations
More precise than simple Bollinger Band squeeze detection because it incorporates on-chain whale behavior balance, reducing false positives from technical consolidations that lack whale equilibrium
distribution-phase-scoring-with-exit-signal-detection
Medium confidenceScores tokens on a 0-100 scale based on whale distribution behavior: large wallet outflows, increasing sell pressure, decreasing buy volume concentration. Analyzes on-chain wallet movements and DEX order flow to determine if whales are actively exiting positions, outputting a quantified distribution phase score that signals when to reduce exposure.
Combines multiple on-chain exit signals (wallet outflows, order book imbalance, buy pressure decay) into a single 0-100 distribution score with configurable weighting, enabling traders to distinguish between normal profit-taking and aggressive whale exits
More actionable than on-chain exchange outflow metrics because it detects whale exits directly from DEX order flow rather than waiting for transfers to centralized exchanges, providing 30-60 minutes earlier warning
btc-macro-regime-detection-for-altcoin-correlation
Medium confidenceAnalyzes Bitcoin price action, volatility regime, and trend direction to classify the current macro market regime (bull/bear/consolidation) and outputs a regime score that correlates with altcoin performance. Uses BTC OHLCV data, volatility indicators, and trend analysis to provide macro context for Solana token trading decisions.
Classifies BTC regime using multi-timeframe trend analysis and volatility regime detection rather than simple moving average crossovers, enabling detection of subtle regime transitions and consolidation periods that MA-based systems miss
More nuanced than simple BTC dominance metrics because it analyzes BTC price action directly and correlates with altcoin performance, whereas dominance only measures market cap allocation
btc-futures-signal-generation-with-leverage-context
Medium confidenceAnalyzes Bitcoin futures market data (funding rates, open interest, liquidation levels) to generate trading signals that indicate directional bias and leverage extremes. Detects when futures markets are overextended (high funding rates, extreme open interest) and generates signals for mean-reversion trades or trend continuation based on market structure.
Combines funding rate extremes, open interest trends, and liquidation cascade detection into a single signal framework rather than analyzing each metric independently, enabling detection of market structure shifts that precede major moves
More actionable than raw funding rate feeds because it contextualizes funding extremes with open interest and liquidation levels, whereas most traders only watch funding rates in isolation
mcp-protocol-integration-with-x402-dexter-payment-gateway
Medium confidenceIntegrates CryptoIZ tools into the Model Context Protocol (MCP) ecosystem via Smithery registry, enabling LLM agents and AI applications to call whale intelligence functions directly. Uses x402 Dexter payment gateway to handle USDC micropayments per API call with gas sponsorship, eliminating need for SOL and enabling serverless, pay-as-you-go pricing model.
Implements MCP server with native x402 Dexter payment integration, enabling gas-sponsored USDC micropayments directly from LLM tool calls without requiring users to manage SOL wallets or gas fees — a novel approach to monetizing AI-native APIs
Simpler integration than building custom REST API wrappers because MCP tools are natively callable by Claude and other LLMs, and cheaper than traditional SaaS pricing because x402 enables true pay-per-call without subscription overhead
real-time-whale-wallet-tracking-with-transaction-history
Medium confidenceMaintains a real-time index of identified whale wallets on Solana and tracks their transaction history, balance changes, and trading patterns. Queries Solana RPC to fetch wallet movements and cross-references with DEX transaction logs to build a historical profile of whale behavior that informs accumulation/distribution scoring.
Builds persistent whale wallet profiles with historical transaction indexing rather than computing signals on-demand, enabling pattern recognition and behavioral prediction that single-query approaches cannot achieve
More detailed than Solscan whale tracking because it integrates with LLM agents for behavioral analysis, whereas Solscan only provides UI-based wallet exploration
multi-token-batch-scanning-with-parallel-execution
Medium confidenceEnables batch scanning of multiple token pairs simultaneously using parallel RPC queries and result aggregation. Accepts a list of token mint addresses and returns whale alpha, divergence, and phase scores for all tokens in a single call, reducing latency and cost compared to sequential per-token queries.
Implements parallel RPC query execution with result aggregation rather than sequential per-token calls, enabling 50-100 token scans in <5 seconds and reducing per-token latency through connection pooling
Faster than calling individual tools sequentially because it batches RPC queries and reuses connections, whereas most whale tracking services require separate API calls per token
Capabilities are decomposed by AI analysis. Each maps to specific user intents and improves with match feedback.
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Token Holder Analysis — Distribution & Whale Detection
Token holder distribution API for AI agents. Analyze any ERC-20 token's holder structure: top holders with % ownership, whale count, Gini concentration coefficient, holder trend (growing/shrinking), and smart money addresses. Tools: token_get_holder_analysis. Use this for due diligence before inve
Best For
- ✓Solana traders and quants building whale-tracking bots
- ✓Crypto hedge funds automating alpha discovery workflows
- ✓Solo developers building LLM agents for on-chain analysis
- ✓Technical traders automating divergence detection workflows
- ✓Quant teams building multi-timeframe analysis agents
- ✓LLM-powered trading bots that need structured technical signals
- ✓Quantitative traders building systematic entry/exit rules based on whale behavior
- ✓Crypto hedge funds automating portfolio construction around accumulation phases
Known Limitations
- ⚠Solana-only — no support for Ethereum, Polygon, or other chains
- ⚠Real-time scanning introduces ~500ms latency due to RPC node query time
- ⚠Whale detection heuristics may produce false positives during low-liquidity periods
- ⚠Requires continuous API calls to maintain fresh signals — no built-in caching layer
- ⚠Requires minimum 50+ candles of historical data per token — unreliable for newly-listed tokens
- ⚠Divergence signals lag by 1-2 candles due to indicator calculation overhead
Requirements
Input / Output
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About
CryptoIZ MCP v4.16.17 — AI-powered Solana DEX whale intelligence. 9 tools (7 paid + 2 free): whale alpha scanner, divergence (hidden/breakout/classic), accumulation/neutral/distribution phase scoring, BTC macro regime, BTC Futures signal. Pay per call with USDC via x402 Dexter — gas sponsored, no SOL needed. Pricing: get_whale_alpha $0.10, get_whale_divergence $0.04, get_whale_accumulation $0.03, get_whale_neutral $0.03, get_whale_distribution $0.04, get_btc_regime $0.02, get_btc_futures_signal $0.06. Recommended: npx agentcash add https://mcp.cryptoiz.org
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