crypto-quant-signal-mcp
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- AlicenseNot gradedqualityDmaintenanceAI-powered crypto signal intelligence for 20 assets (BTC, ETH, SOL, etc). 6 scoring dimensions: whale activity, technical analysis, derivatives flow, narrative strength, sentiment, market structure. Market regime detection (TRENDING/RANGING), portfolio optimization, and accuracy tracking. 9 read-only MCP tools. Free via MCP, $0.001 USDC via x402 on Base for REST API.3MIT
- AlicenseAqualityDmaintenanceReal-time crypto intelligence for AI agents. Technical analysis, liquidation heatmaps, sentiment, and funding rates for 50+ Hyperliquid perpetuals via x402 micropayments.1536 PyPI1MIT
- AlicenseAqualityDmaintenanceFinancial intelligence for AI agents. 31 tools across 8 data sources — regime, derivatives, stablecoin flows, momentum, volatility, macro, DeFi, weather patterns, political cycles, seasonality. The context layer between your agent and a bad trade.3129 npm9MIT
- AlicenseNot gradedqualityCmaintenanceRead-only crypto perps microstructure for AI agents: normalized cross-exchange market state (funding + multi-year percentile, OI, volume, CVD, order-book imbalance, liquidations, basis), OHLCV, 15-min state history, and measured conditional outcomes (historical base rates, not predictions) — 6 assets across Binance, Bybit, OKX and Hyperliquid, every metric with self-declared coverage and freshnessMIT

Coinversaa Pulseofficial
AlicenseAqualityAmaintenanceProvides comprehensive crypto intelligence for the Hyperliquid exchange, allowing users to query trader profiles, behavioral cohorts, and live market data. It enables AI agents to analyze over 1.8 billion trades, track whale positions, and access real-time liquidation heatmaps.10694 npm10MIT- AlicenseNot gradedqualityBmaintenanceEnables AI agents and trading bots to query live crypto derivatives data across 13 venues, including open interest, funding rates and arbitrage, liquidation cascades, whale positioning with exchange-reported liquidation prices, and tokenized stocks, plus computed regime and risk briefs. It is a read-only remote endpoint requiring no install or API key, and also exposes raw datasets, CSV/Parquet history exports, and webhook alerts for bot workflows.MIT
TDQS
Scored across 10 tools
Most tools have sharply distinct roles: single-coin vs. scan variants (get_trade_call / scan_trade_calls, get_market_regime / scan_market_regimes) and synthesized vs. lexical knowledge (chat_knowledge / search_knowledge) are explicitly contrasted in their descriptions. The one clear overlap is get_trade_signal, which is openly an alias of get_trade_call — same behavior, two entries — mildly inflating the apparent surface.
The set is dominated by predictable verb_noun naming (get_*, scan_*, search_*, chat_*) with clear resource suffixes. Deviations are minor: pre_trade_check is noun-first and chat_knowledge/search_knowledge drop the verb_noun shape, but every name remains readable and self-descriptive.
Ten tools is squarely in the healthy range for a read-only signal/risk server, and each operation (single-asset, scan, risk check, track record, knowledge) maps to a real workflow. The only count bloat is the get_trade_signal alias, which duplicates get_trade_call rather than adding capability.
The surface covers the core lifecycle: per-asset and whole-market trade calls, regime reads and regime scans, cross-venue funding arbitrage, a pre-trade risk gate, verified performance history, and knowledge/documentation retrieval. Gaps are minor — no watchlist/alerting, no historical candle or backtest tool, and funding data is only exposed via arbitrage scans and composite verdicts rather than a dedicated pair-level lookup.