io.github.a10102010/north7-market-intelligence

Est-ce que io.github.a10102010/north7-market-intelligence est sûr ?

Au dernier audit MCP Hub, le serveur MCP « io.github.a10102010/north7-market-intelligence » est classé « Non encore testé ». Référencé dans l'annuaire. Seul le pentest comportemental fait foi, et il n'a pas encore été exécuté sur ce serveur. Le verdict est réévalué en continu ; consultez la fiche pour l'état à jour.

Méthode : MCP Hub analyse la description de chaque outil (couche 1) et, pour le verdict fort, exécute le serveur dans une micro-VM isolée avec leurres et réseau bloqué (couche 2). On publie des noms et des compteurs, jamais le contenu brut renvoyé par un outil.

Les 13 outils

• get_agent_context≈ 120 tokens

  Returns complete market context package for autonomous agents: risk level (0-100), active crises, market regime (BULL/BEAR/SIDEWAYS/CRISIS) with VIX, agent guidance (DEFENSIVE/CAUTIOUS/FAVORABLE), hot regions, market data summary, and recommended next API calls — all in one call. The recommended FIRST tool for any market-monitoring agent. JSON format. FREE - no API key needed.

  Paramètres, retour & exemple (0)

  Exemple d'appel

  {"name": "get_agent_context", "arguments": {}}

  Exemple de retour

  {"content": [{"type": "text", "text": "…"}]}

• get_commodity_signals≈ 117 tokens

  Returns risk scores 0-100 and supply chain disruption alerts for 15 commodities: oil, gold, wheat, coffee, sugar, cotton, corn, natural gas, silver, copper, cocoa, soybeans, platinum, palladium, and lumber. Includes directional assessment (bullish/bearish), seasonal patterns, and AI reasoning per commodity. Updated daily. JSON format. Costs 2 credits per call.

  Paramètres, retour & exemple (0)

  Exemple d'appel

  {"name": "get_commodity_signals", "arguments": {}}

  Exemple de retour

  {"content": [{"type": "text", "text": "…"}]}

• get_events≈ 200 tokens

  Get structured geopolitical and market events with impact scores. Each event includes: headline, impact_score (1-10), affected sectors, affected assets, region, and confidence. Use this to detect market-moving events and filter by minimum impact or region. Returns events sorted by impact score, highest first. FREE — no API key needed. Example: get_events with min_impact=7 returns only high-impact events.

  Paramètres, retour & exemple (2)

  Paramètres

  • region · string · optionnel
    Filter by region: 'Middle East', 'Europe', 'North America', 'South Asia', 'East Asia', 'Eastern Europe', 'Africa'
  • min_impact · number · optionnel
    Minimum impact score (1-10). Default 0 returns all events. Use 7+ for high-impact only.

  Exemple d'appel

  {"name": "get_events", "arguments": {"region": "texte", "min_impact": 1}}

  Exemple de retour

  {"content": [{"type": "text", "text": "…"}]}

• get_impact≈ 170 tokens

  Map geopolitical events and crises to specific asset impacts. Returns which assets are positively or negatively affected by current events, with directional assessment (positive/negative), confidence score, driver explanation, and timeframe (short_term/medium_term). Filter by specific asset to see all factors affecting it. Combines crisis analysis, news data, alpha screening, and commodity scoring. JSON format. FREE — no API key needed.

  Paramètres, retour & exemple (1)

  Paramètres

  • asset · string · optionnel
    Filter by asset ticker, e.g. 'AAPL', 'CL=F' (crude oil), 'GC=F' (gold), 'NVDA'. Omit for all impacts.

  Exemple d'appel

  {"name": "get_impact", "arguments": {"asset": "texte"}}

  Exemple de retour

  {"content": [{"type": "text", "text": "…"}]}

• get_intelligence_briefing≈ 167 tokens

  Returns AI-generated geopolitical intelligence briefing with risk assessments for 6 global domains: Middle East, East Asia, Europe, Americas, Africa, and Cyber. Each event includes impact score (1-10), affected sectors and assets, and actionable implications. Generated daily using Claude AI analyzing 40+ global news sources. Available in English (en) or German (de). Costs 10 credits per call.

  Paramètres, retour & exemple (1)

  Paramètres

  • lang · string · optionnel · en | de
    Language for the briefing. 'en' for English (default), 'de' for German (Deutsch).

  Exemple d'appel

  {"name": "get_intelligence_briefing", "arguments": {"lang": "en"}}

  Exemple de retour

  {"content": [{"type": "text", "text": "…"}]}

• get_market_regime≈ 115 tokens

  Detect the current market regime: BULL (S&P 500 above 200-day MA, VIX below 20), BEAR (below 200-day MA), SIDEWAYS (range-bound), or CRISIS (VIX above 30). Returns regime, confidence percentage, S&P 500 vs 200-day MA, VIX level, and regime duration. Use alongside get_risk_index before trading decisions. Updated every 30 minutes. FREE - no API key required.

  Paramètres, retour & exemple (0)

  Exemple d'appel

  {"name": "get_market_regime", "arguments": {}}

  Exemple de retour

  {"content": [{"type": "text", "text": "…"}]}

• get_model_portfolio≈ 151 tokens

  View the current NORTH7 model portfolio positions and performance metrics. Use this tool to see what positions the NORTH7 system is currently holding, including entry prices, current P&L, position sizes, and overall portfolio performance. Returns: list of active positions (symbol, direction, entry price, current price, P&L percentage), total portfolio return, and performance history. The model portfolio is a transparent, logged research portfolio — not investment advice. Costs 10 credits per call.

  Paramètres, retour & exemple (0)

  Exemple d'appel

  {"name": "get_model_portfolio", "arguments": {}}

  Exemple de retour

  {"content": [{"type": "text", "text": "…"}]}

• get_prices≈ 164 tokens

  Returns real-time price, daily change percentage, and volume for 80+ assets including US stocks, commodities (GC=F gold, CL=F oil), and indices. Prices sourced from Yahoo Finance, updated every 2 minutes during market hours. Request specific symbols (comma-separated) or omit for all 80+ assets. Costs 1 credit per call.

  Paramètres, retour & exemple (1)

  Paramètres

  • symbols · string · optionnel
    Comma-separated ticker symbols to filter results, e.g. 'AAPL,MSFT,TSLA,GC=F,EURUSD=X'. Use standard Yahoo Finance ticker format. Omit this parameter to receive prices for all 80+ tracked assets.

  Exemple d'appel

  {"name": "get_prices", "arguments": {"symbols": "texte"}}

  Exemple de retour

  {"content": [{"type": "text", "text": "…"}]}

• get_relationships≈ 220 tokens

  Query the NORTH7 knowledge graph of entities and relationships. Entities: countries, companies, assets, commodities, sectors, crises, regions. Shows how entities are connected — e.g. which assets Iran affects, what commodities a crisis impacts, which sectors are linked to a country. Use entity parameter to query a specific entity (e.g. 'IR' for Iran, 'CL=F' for oil, 'energy' for energy sector). Returns matched entities, connected nodes, and weighted edges with evidence. FREE — no API key needed.

  Paramètres, retour & exemple (2)

  Paramètres

  • type · string · optionnel
    Filter by entity type: country, company, asset, commodity, sector, crisis, region
  • entity · string · optionnel
    Entity ID to query: country code (IR, US, CN), ticker (AAPL, CL=F), sector (energy, defense), or name.

  Exemple d'appel

  {"name": "get_relationships", "arguments": {"type": "texte", "entity": "texte"}}

  Exemple de retour

  {"content": [{"type": "text", "text": "…"}]}

• get_risk_index≈ 106 tokens

  Returns global market risk index 0-100 with list of active geopolitical crises and current market regime (BULL/BEAR/SIDEWAYS/CRISIS). Score: 0-30=CALM, 30-50=MODERATE, 50-70=ELEVATED, 70-100=CRITICAL. Also returns per-region scores for Middle East, Europe, Asia, Americas. Updated every 30 minutes. FREE - no API key required.

  Paramètres, retour & exemple (0)

  Exemple d'appel

  {"name": "get_risk_index", "arguments": {}}

  Exemple de retour

  {"content": [{"type": "text", "text": "…"}]}

• get_sector_radar≈ 109 tokens

  Returns breadth score and rotation direction for all 11 US stock market sectors (Technology, Healthcare, Financials, Energy, Consumer, Industrials, Materials, Utilities, Real Estate, Communication Services). Identifies sector leaders and laggards with momentum scores and advance/decline ratios. Updated daily. Costs 2 credits per call.

  Paramètres, retour & exemple (0)

  Exemple d'appel

  {"name": "get_sector_radar", "arguments": {}}

  Exemple de retour

  {"content": [{"type": "text", "text": "…"}]}

• get_stock_analysis≈ 175 tokens

  Returns comprehensive AI analysis for any US stock ticker: fundamentals (PE ratio, revenue, margins, market cap, ROE), technicals (RSI, MACD, moving averages, support/resistance, trend), sentiment score, and bullish/neutral/bearish directional assessment with confidence percentage. Analysis generated by Claude AI. Ticker parameter required. JSON format. Costs 5 credits per call.

  Paramètres, retour & exemple (1)

  Paramètres

  • ticker · string · requis
    Stock ticker symbol in uppercase, e.g. 'AAPL' for Apple, 'MSFT' for Microsoft, 'TSLA' for Tesla, 'NVDA' for NVIDIA. Use standard US ticker format.

  Exemple d'appel

  {"name": "get_stock_analysis", "arguments": {"ticker": "texte"}}

  Exemple de retour

  {"content": [{"type": "text", "text": "…"}]}

• get_trading_signals≈ 242 tokens

  Returns today's AI-generated market data points for equities: ticker symbol, direction (bullish/bearish), confidence percentage (0-100), price level, stop level, and reasoning. Sources: news_5m (breaking news, 5-min updates), alpha_14d (daily equity analysis), radar_daily (technical radar), intraday_30m (momentum scanner), scr_daily (commodity risk data). Filter by source or omit to receive all data points combined. Updated daily. JSON format. Costs 1 credit per call.

  Paramètres, retour & exemple (1)

  Paramètres

  • source · string · optionnel · news_5m | alpha_14d | radar_daily | intraday_30m | scr_daily
    Filter market data by source type. Options: news_5m (breaking news, 5-min updates), alpha_14d (daily equity analysis), radar_daily (technical radar), intraday_30m (momentum scanner), scr_daily (commodity risk data). Omit to receive data points from all sources combined.

  Exemple d'appel

  {"name": "get_trading_signals", "arguments": {"source": "news_5m"}}

  Exemple de retour

  {"content": [{"type": "text", "text": "…"}]}

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Source

https://north7.ai/mcp