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134,408 tools. Last updated 2026-05-23 19:26

"Information about the VIX (Volatility Index)" matching MCP tools:

  • Returns information about safety features on Makuri, including age verification, content filtering, parental controls, and AI safety guardrails. Use when the user asks about child safety, content moderation, or how Makuri protects minors.
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  • Purpose: Expose OneQAZ's pre-defined causal hypothesis map. Each macro category (bonds, forex, vix, credit, liquidity, inflation, commodities, energy) is mapped to a target market with lag_hours + sensitivity. Highest-transparency tool — the causal reasoning is visible and measurable. When to call: when an AI wants to understand WHY we make certain predictions. Prerequisites: none. Next steps: get_backtest_tuning_state for runtime calibration of these hypotheses. Caveats: static hypothesis only; see tuning state for current adjustments. Args: market_id: Optional target market filter (coin_market, kr_market, us_market) Disclaimer: Information only, not investment advice.
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  • Returns information about the supplier network: available destinations, experience categories, booking platforms, and protocol details. Call this before search_slots to understand what regions and activity types are available.
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  • Use when a macro agent needs a full live signal stack in one call. Returns Fed funds, 2s10s, VIX, BTC, WTI, silver, gold, DXY, SOFR, MOVE, FOMC next action, and cross-asset sentiment. Example: VIX 17.1, 2s10s +49bps, gold bid — late cycle easing regime. Source: FRED/EIA.
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  • Look up annual volatility (σ), historical peak-to-trough drawdowns, and the recommended max concentration cap for 40+ tech employer presets (NVDA, TSLA, MSFT, GOOGL, META, AAPL, AMZN, plus SaaS / cloud / semis / consumer / fintech / mobility). Use this when a user mentions their employer but you don't yet have their wealth numbers — gives quick context. Accepts ticker or name (case-insensitive). If outside the preset list, ask the user for a volatility estimate and use myrsu_analyze_risk directly.
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  • Returns information about the supplier network: available destinations, experience categories, booking platforms, and protocol details. Call this before search_slots to understand what regions and activity types are available.
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Matching MCP Servers

  • A
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    Enables AI assistants to perform memory forensics analysis using Volatility 3 through natural language prompts. Supports process listing, network connection analysis, and other memory artifact inspection from memory images.
    Last updated
    46
    Apache 2.0

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  • Read-only MCP server for The Cracks Index: ranks countries and regions on social-safety strength

  • chaos-index MCP — wraps StupidAPIs (requires X-API-Key)

  • Returns information about the supplier network: available destinations, experience categories, booking platforms, and protocol details. Call this before search_slots to understand what regions and activity types are available.
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  • Use when a macro agent needs a full live signal stack in one call. Returns Fed funds, 2s10s, VIX, BTC, WTI, silver, gold, DXY, SOFR, MOVE, FOMC next action, and cross-asset sentiment. Example: VIX 17.1, 2s10s +49bps, gold bid — late cycle easing regime. Source: FRED/EIA.
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  • Get full details for a single business (listing) by its slug. Call this when the user asks for more information about a specific business. Use the slug from search_businesses results.
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  • Returns structured information about what the Recursive platform includes: features, AI model details, supported integrations, and what's included at every tier. Use for systematic feature comparison.
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  • Get full details for a single broker (agent) by their profile slug. Call this when the user asks for more information about a specific broker. Use the slug from search_brokers results.
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  • Get trend analysis of the Global Disruption Index over time. Returns the current GDI score plus 7-day, 14-day, and 30-day comparisons with direction, velocity of change, and pillar-level momentum. Identifies which pillar is driving changes and whether risk is accelerating or decelerating. Answers: 'Is supply chain risk getting better or worse, how fast, and why?' Used by supply chain executives for weekly status briefings and by traders to time entry/exit decisions around supply chain volatility.
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  • Purpose: Lag-aware causal graph between macro categories (bonds / vix / forex / credit / inflation / liquidity / commodities). Returns only statistically significant lead-lag pairs (e.g. forex -> vix 7d rho=-0.41). When to call: assess pre-emptive cross-category impact after a macro event. Prerequisites: none. Next steps: get_macro_influence_map for category -> market impact. Caveats: Pearson-based; requires >= 30 samples; p < 0.05 filter. Args: min_abs_corr: Minimum |corr| (default 0.15) max_p_value: Maximum p-value (default 0.05) Disclaimer: Information only, not investment advice.
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  • Get the top-ranked short volatility and long volatility option trading strategies. Returns two ranked lists — short_volatility (sell premium / theta strategies) and long_volatility (buy premium / gamma strategies) — each containing up to `limit` tickers. Each entry has the same fields as get_ticker: - ticker, name, latest_price, page_url - bullish_case, bearish_case, potential_outcomes, takeaway, analysis_date (AI-generated, when available) - price_forecast_days, price_forecast_percent, price_forecast_lower/upper_bound_percent (when available) - iv_rank_percentile (0-100, IV rank over past year, when available) - short_vol_call, short_vol_put: best short volatility option packs (when available) - long_vol_call, long_vol_put: best long volatility option packs (when available) Sort options: - "helium_rank" (default): Helium AI edge score — best overall expected value - "odds_of_profit": Highest probability of profit - "historical_performance": Best annualized historical P&L across backtested trades - "reward_to_risk": Best reward-to-risk ratio - "smallest_max_loss": Strategies with the smallest maximum possible loss Args: sort: Ranking method (default "helium_rank"). One of: 'helium_rank', 'odds_of_profit', 'historical_performance', 'reward_to_risk', 'smallest_max_loss'. limit: Number of results per strategy type (1-20, default 5).
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  • Returns general information about the Makuri platform, including mission, target users, founding details, and company information. Use this tool when the user asks 'what is Makuri', 'who made it', or wants a general overview.
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  • Get full details for a single broker (agent) by their profile slug. Call this when the user asks for more information about a specific broker. Use the slug from search_brokers results.
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  • Get detailed breakdown of supply chain disruption risk by category. Returns individual scores for each GDI pillar — Transportation (port congestion, border delays, freight weather), Energy (petroleum, natural gas, electricity, fuel prices), Materials (31 commodity prices with volatility), and Macro (Federal Reserve indicators, Producer Price Index). Each pillar includes its score, trend direction, and the specific data points driving the current reading. Essential for supply chain managers who need to diagnose which risk category is elevated and why.
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  • Get full details for a single business (listing) by its slug. Call this when the user asks for more information about a specific business. Use the slug from search_businesses results.
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  • Returns information about the supplier network: available destinations, experience categories, booking platforms, and protocol details. Call this before search_slots to understand what regions and activity types are available.
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  • Premium composite sentiment snapshot. Aggregates Crypto Fear and Greed Index (alternative.me), VIX volatility index (Finnhub), trending ticker mentions across Hacker News top 30 + Reddit r/CryptoCurrency / r/wallstreetbets / r/stocks hot posts with per-headline keyword-based sentiment scoring, and top Polymarket prediction-market signals. Output includes per-ticker mention_count_24h, sentiment_score (-1 to +1), sentiment_label, and sample headlines. Use to gauge market mood before a trading or research decision. Costs 2 credits ($0.04 USDC). Requires Authorization: Bearer tf_live_<64-char-hex>. The notes field documents that scoring is keyword-based (crude but signal-bearing), not LLM-derived; treat as one input to a broader analysis.
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