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186,651 tools. Last updated 2026-06-10 01:05

"features trading" 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: Track-B (signal-driven) paper-trading decision log. When to call: review recent automated decisions and their outcomes. Prerequisites: market://{market_id}/status recommended for context. Next steps: get_trade_history, get_signals. Caveats: paper-trading decisions only — no real-money order routing. Args: market_id: Market ID (crypto, kr_stock, us_stock; aliases coin/kr/us accepted) limit: Max results (default 10) decision_filter: Filter by decision (buy, sell, hold) hours_back: Only decisions within last N hours Disclaimer: Information only, not investment advice.
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  • CFTC Rule 5.17(z) conflict-of-interest pre-trade check. Analyzes a Kalshi market's metadata to detect whether trading it would expose decision-makers (election candidates, government officials, athletes, regulators) to insider-trading liability. Pattern-matches against the Kalshi April 2026 disciplinary cases (Moran/Klein/Enriquez) and the CFTC Van Dyke complaint. Returns ALLOW/MONITOR/WARN/BLOCK recommendation + 0-100 score + reference cases. Cannot identify actual trader identity (Kalshi public API anonymizes users) — pair with internal surveillance for full enforcement.
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  • Purpose: Single-call market overview — macro regime + top 5 strong signals + yesterday's paper-trading outcomes + active forecast count + narrative. Use this as the first call when answering "how is the market today?". When to call: morning briefings, "today/yesterday how was the market?" queries. Prerequisites: none. Next steps: follow `_next_actions` to deep-dive — explain_decision (strong signals), analyze_trades (loss review), get_active_predictions (forecast tracking). Caveats: 24-hour window. Paper-trading data only (NOT real money). Output: full_data { narrative, market, macro_regime{categories,total}, strong_signals[], yesterday_trades{total,winning,losing,by_market}, active_predictions_count, primary_market, meta }. Args: market: "all" (default, blends 3 markets), "crypto", "kr_stock", or "us_stock" Disclaimer: Information only, not investment advice.
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  • Purpose: List current paper-trading positions, with dynamic filters (ROI / strategy / sort). When to call: position dashboards, drawdown checks, exposure audits. Prerequisites: market://{market_id}/status recommended for context. Next steps: get_position_detail, get_strategy_distribution. Caveats: paper-trading data only. Positions are not real money holdings. Disclaimer: Information only, not investment advice. Args: market_id: Market ID (crypto, kr_stock, us_stock) min_roi: Min ROI % filter (e.g., -5.0) max_roi: Max ROI % filter (e.g., 10.0) strategy: Strategy filter (e.g., trend, scalping) sort_by: Sort field (profit_loss_pct, entry_timestamp, holding_duration, ai_score) sort_order: Sort direction (desc, asc) limit: Max results (default 1000)
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  • Search Pokémon TCG (and other trading card games) cards by name in the TCGdex card database. Returns brief matches (id, localId, name, image thumbnail). Use get_card with an id for full card details.
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    Enables AI assistants to interact with Bitget cryptocurrency exchange for spot and futures trading. Supports real-time market data, order management, account balances, leverage control, and position tracking with demo trading capabilities.
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Matching MCP Connectors

  • Perpetual futures trading for AI agents. 275+ markets (crypto, stocks, commodities, forex) via Hyperliquid. Copy trading, leaderboard, 50x leverage. No KYC. 20% referral commissions.

  • Verified cross-platform implementations of Owl Group Trading indicators as queryable code.

  • Returns a summary of all Carbone capabilities: supported formats, features, tool usage examples, and links to full documentation. Call this first if you are unsure what Carbone can do.
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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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  • Search the AI agent directory — find registered agents by name, capability, protocol support, or reputation. Powered by the live ERC-8004 registry via 8004scan (110,000+ agents indexed across 50+ chains). Returns agent identity, owner wallet/ENS, reputation scores, supported protocols (MCP/A2A/OASF), verification status, and links to 8004scan profiles. Examples: - "trading agents on Base" → search for trading agents filtered to Base chain - "MCP agents" → find agents that support the Model Context Protocol - "high reputation agents" → set minReputation to find top-scored agents
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  • List every indicator in the Owl Group Trading code library: slug, name, one-line summary, available platforms, the linked glossary concept, the verification tolerance, and the page URL. Returns the authoritative catalog so the answer comes from real data rather than a guess. Takes no arguments.
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  • Fetches the current Crypto Fear and Greed Index value (0-100) with classification label (Extreme Fear, Fear, Neutral, Greed, Extreme Greed). Source: Alternative.me. Cache TTL 5min. Use as a sentiment signal for crypto trading decisions.
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  • Purpose: Query paper-trading history with dynamic filters (action / P&L / time / symbol). When to call: past trade review, single-symbol post-mortem, win-rate audits. Prerequisites: none. Next steps: analyze_trades, market://{market_id}/signals/feedback. Caveats: paper-trading data only (not real money). limit capped at 1000. Args: market_id: Market ID (crypto, kr_stock, us_stock; aliases coin/kr/us accepted) limit: Max results (default 1000) action_filter: Filter by action (all, buy, sell) min_pnl: Min P&L % filter (e.g., -5.0) max_pnl: Max P&L % filter (e.g., 10.0) hours_back: Only trades within last N hours symbol: Filter by ticker symbol (e.g., "BTC", "AAPL"); case-insensitive Disclaimer: Information only, not investment advice.
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  • List all available plans with pricing, features, limits, and feature flags. Public information — useful for discovering what plans exist before purchasing or upgrading.
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  • Search SecureLend's lender database for personal banking accounts matching the user's desired features. Returns available accounts with fee structures, features, and eligibility indicators. Results may change over time and may include offers from SecureLend’s database and authorized third-party integrations when enabled. The user selects an account and is directed to apply on the bank's own platform.
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  • Get a random Yu-Gi-Oh! trading card game (TCG) card with full details including type, description, ATK/DEF, attribute, archetype, sets, and card prices.
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  • List crypto news category tags available for filtering the news feed (BTC, ETH, Trading, Regulation, Mining, etc.). Use as a directory before calling news() with a category filter.
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  • Call this when the user wants the current top trading opportunities with explicit trade directions and historical backing. Good triggers: "What are the best bets right now?", "Show me the edge board", "Which model is winning the paper-trading competition?", "What's the strongest edge today?", "Are these edges statistically significant?". Returns open markets ranked by model-vs-market disagreement, each with Buy YES/NO direction, implied odds, whether the edge is historically significant, and a multi-model comparison.
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  • Get your account details: current plan, QR code usage, and which features are available. Use this before create_qr_code to check remaining capacity, or to confirm which features are active on your plan. Requires authentication.
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  • Suggest Apple-native features for an app based on its description. The domain is only a weak hint; the app description wins. Returns a ranked list of features with recommended surfaces (intent, widget, view,... Use: use before generation to choose Apple surfaces; not a substitute for registry search or validation. Effects: local mode is read-only; Pro mode may call Axint endpoint when credentials are configured.
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  • Hyperliquid perp + spot universe metadata: asset names, leverage caps, size decimals, spot tokens. Read-only proxy of /info type=meta + spotMeta. Phase 1 (read-only) — trading endpoints arrive in Phase 2.
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