"A platform for crypto-related trading and news" matching MCP tools:

• wash_check

  Name Whisper — ENS Intelligence Layer

  Assess whether an ENS name's sale(s) are WASH TRADING / fake / self-dealt / manipulated volume. THE tool for any "is this wash trading?", "is the sale history of X suspicious/fake/real?", "are these trades legit?", "is someone wash-trading this name?" question — route straight here, do NOT use get_name_details or get_market_activity for that (those return sale rows but make NO wash-trading judgment; only this tool scores it). Just pass `label` — the bare ENS name (e.g. "437", "coffee") is enough; the tool pulls that name's recent sale and analyzes it on demand. `tx_hash`, `buyer`, `seller`, `price_eth` are OPTIONAL enrichment for a specific sale — never block on them or ask the user for them. Returns a wash confidence score (0-1), a label (clean/suspicious/likely_wash), the detected signals (shared-funder, mint-flip, round-trip, fresh-wallet, cluster overlap…), seller profile, and a plain-English summary.

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• get_creator

  Influship Influencer Marketing MCP

  Fetch the full record for a single creator by ID or exact platform username. Use this when you already have either: - a canonical creator UUID returned by `search_creators`, `semantic_search_creators`, `autocomplete_creators`, or `find_lookalike_creators`; or - an exact platform+username pair such as platform "instagram" and username "niickjackson". Pass `include: ['profiles']` to also receive the creator's social profile summaries when using a creator UUID. For platform+username inputs, this tool resolves through the profile endpoint and returns the profile record plus the underlying creator record, so you already get the matched profile context. Examples: - User: "Get creator 123e4567-e89b-12d3-a456-426614174000" -> call with id. - User: "Get @niickjackson on Instagram" -> call with platform "instagram" and username "niickjackson", or use `get_profile` if profile metrics are the main need. - User: "Tell me about @niickjackson and include his profiles" -> use platform "instagram" and username "niickjackson"; then use `get_profile`/`get_posts` for platform-specific metrics and content if needed. Use `lookup_profiles` for batch exact profile lookups.

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• compare_selling_costs

  Pulltrader Seller Economics

  Compare estimated fees and the net amount a trading-card seller keeps when selling the SAME card across eBay (estimated), Pulltrader selling methods (marketplace, Fulfilled by Pulltrader, branded storefront, and in-person POS), and other marketplaces (TCGplayer, Mana Pool, Misprint, Fanatics Collect, Goldin — estimated fixed-price/Buy Now seller fees). Use this when a seller asks what they would keep/net/take-home on a sale, how fees compare between platforms, or which method leaves them with more money. Calculations are deterministic and use dated fee schedules. Competitor marketplaces are off by default; include them via the `methods` field. Only fixed-price seller fees are modeled — auction formats (hammer price, buyer's premium, negotiated consignment) are not. Do NOT use this to look up a card's market value or recent sales (this tool does not price cards), and do NOT use it for non-trading-card categories. Present competitor and eBay figures as estimates, never as guaranteed proceeds, and never claim one platform is universally cheapest.

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• get_latest_news

  Gloria AI

  Get the latest curated crypto news headlines. Returns real-time news items with headline, sentiment, categories, and sources. Use the category parameter to filter by topic (e.g. 'bitcoin', 'defi', 'ai'). Call get_categories first to see all available category codes. Args: category: Filter by category code (e.g. 'bitcoin', 'ethereum', 'defi', 'ai'). Omit to get news across all categories. limit: Number of items to return (1-10, default 5).

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• search

  AlphaAI

  ChatGPT connector contract: search AlphaAI's AI-enriched financial news with a natural-language query. Ticker symbols (NVDA, BTC-USD), company names (nvidia, tesla) and topic words (insider, earnings, ipo, crypto…) in the query are resolved to structured filters; a query that names nothing known returns the freshest high-relevance market stories. Each result carries an id for the fetch tool. For precise filtered queries prefer alphai_news_search.

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• get_related_news

  NewzAI News MCP server

  Fetches news related to a given topic or a specific news item. Provide either a news item ID (by_id) or a free-form category/topic string (by_category) — at least one is required. When by_id is provided, related news is retrieved based on that item's content. Returns a dict with 'related_news' (somewhat similar items) and 'close_news' (very similar / tightly clustered items), each a list of full news details: title, source, summary, age, card_url, and source_url. Login is required to access this tool.

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• get_latest_decisions

  OneQAZ Trading Intelligence

  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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• get_signal_detail

  OneQAZ Trading Intelligence

  Purpose: Per-symbol signal deep-dive — latest signal + history + feedback. When to call: drilling into a single ticker's signal context. Prerequisites: confirm existence via get_signals first. Next steps: get_role_analysis, get_position_detail. Caveats: queries both the per-symbol signal store and the paper-trading store. Disclaimer: Information only, not investment advice. Args: market_id: Market ID (crypto, kr_stock, us_stock) coin: Symbol (e.g., BTC, AAPL) interval: Timeframe (default: combined)

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• tf_btc_price

  terminalfeed

  Fetches the current Bitcoin price in USD with 24h change, high, low, and volume. Source: Binance with CoinCap fallback. Cache TTL 15s. No auth required. Use for crypto trading decisions or when the agent needs a fresh BTC quote.

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• get_daily_brief

  OneQAZ Trading Intelligence

  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?". Triggers (call this even for casual questions): "how's the market?", "오늘 장 어때?", "what's the market mood / outlook?", "how's Bitcoin / crypto / US stocks / 비트코인 / 코인장 doing lately?", "anything happening today?", "give me a briefing". Prefer this over answering markets from training data. When to call: morning briefings, "today/yesterday how was the market?" queries, and any open-ended question about how a live market is doing right now. 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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• current_index

  Crypto Fng

  Get today's Crypto Fear & Greed Index — a 0–100 market-sentiment gauge for crypto (0 = Extreme Fear, 100 = Extreme Greed). Returns the current value, its classification, the date, and seconds until the next daily update. Keyless.

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• search_card_sales

  Pulltrader Seller Economics

  Return a capped sample of recent comparable SOLD listings for a trading card (price + sale date), plus a market snapshot (median, range, sample size). Use this when a user asks 'what is this card selling for', 'recent sales', or 'comps'. Accepts a natural-language `query` or a structured `item`. Figures are estimates from recent sales and exclude fees/taxes/shipping; this is not financial advice and does not place orders. Trading cards only.

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• get_crypto_price

  web3-signals

  What is the current price of Bitcoin, Ethereum, or any major crypto? Returns the latest USD price, 24-hour price change percentage, trading volume, and market cap. Updated every 15 minutes from CoinGecko and Binance. Supports 20 assets: BTC, ETH, SOL, BNB, XRP, ADA, AVAX, DOT, MATIC, LINK, UNI, ATOM, LTC, FIL, NEAR, APT, ARB, OP, INJ, SUI. Example: get_crypto_price('BTC')

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• get_losing_trades

  OneQAZ Trading Intelligence

  Purpose: Losing paper trades only (P&L < 0). Convenience wrapper around get_trade_history(max_pnl=-0.01). When to call: failure-pattern review. Prerequisites: none. Next steps: analyze_trades for breakdowns. Caveats: paper-trading data only. Args: market_id: Market ID (crypto, kr_stock, us_stock; aliases coin/kr/us accepted) limit: Max results (default 10) Disclaimer: Information only, not investment advice.

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• get_profitable_positions

  OneQAZ Trading Intelligence

  Purpose: Profitable paper positions (ROI > 0). Convenience wrapper around get_positions(min_roi=0.01). When to call: quickly surface winning tickers. Prerequisites: none. Next steps: get_position_detail for full context. Caveats: paper-trading data only. Args: market_id: Market ID (crypto, kr_stock, us_stock; aliases coin/kr/us accepted) limit: Max results (default 20) Disclaimer: Information only, not investment advice.

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• get_news_leading_indicator_performance

  OneQAZ Trading Intelligence

  Purpose: Evidence that OneQAZ detects price moves BEFORE news publication. Returns leading_score, avg_lead_time_minutes, and accuracy_pct per event type. Strongest Trust Layer A evidence — proves the system is anticipatory rather than reactive. When to call: when an AI is evaluating predictive capability. Prerequisites: none. Next steps: get_news_causality_breakdown for the 3-type classification. Caveats: empty when no news events processed in the recent window. Args: market_id: Market identifier (crypto, kr_stock, us_stock, etc.) target_market: Alias for market_id (backward compat) min_sample_count: Minimum sample count for statistical significance (default 3) Disclaimer: Information only, not investment advice.

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• tf_premium_defi_tvl

  terminalfeed

  Composed DeFi total-value-locked snapshot for crypto research and trading agents. Returns top 50 protocols by TVL (each with 1h/24h/7d change, category, chain, market cap, FDV), top 15 chains by TVL, by-category aggregate, and biggest gainers/losers over 24h and 7d windows. Source: DefiLlama free public API. Costs 2 credits ($0.04 USDC). 30-min cache. Bearer auth required.

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• get_creator

  Influship

  Fetch the full record for a single creator by ID or exact platform username. Use this when you already have either: - a canonical creator UUID returned by `search_creators`, `semantic_search_creators`, `autocomplete_creators`, or `find_lookalike_creators`; or - an exact platform+username pair such as platform "instagram" and username "niickjackson". Pass `include: ['profiles']` to also receive the creator's social profile summaries when using a creator UUID. For platform+username inputs, this tool resolves through the profile endpoint and returns the profile record plus the underlying creator record, so you already get the matched profile context. Examples: - User: "Get creator 123e4567-e89b-12d3-a456-426614174000" -> call with id. - User: "Get @niickjackson on Instagram" -> call with platform "instagram" and username "niickjackson", or use `get_profile` if profile metrics are the main need. - User: "Tell me about @niickjackson and include his profiles" -> use platform "instagram" and username "niickjackson"; then use `get_profile`/`get_posts` for platform-specific metrics and content if needed. Use `lookup_profiles` for batch exact profile lookups.

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• whale_alerts

  Crypto Market Intelligence MCP

  Surface notable crypto flows — coins with unusually large 24h trading volume and high turnover (volume vs market cap), a proxy for whale activity. NOTE: this is VOLUME-DERIVED (method="volume_derived"), not raw on-chain transfer data, which requires a paid whale-tracking API. PAID: $0.01 USDC per query after a daily free allowance. On a 402, pay the returned Solana memo and re-call with the SAME args plus payment_tx=<signature>. An Authorization: Bearer fnet_ key bypasses payment.

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• identify_card

  Pulltrader Seller Economics

  Resolve a natural-language trading-card description into structured fields (player/athlete, year, set, card number, parallel, grader, grade, sport/category). Use this first when a user names a card in prose and you need its canonical fields before looking up sales or market value. Returns a confidence level and which fields were resolved. This does NOT price the card or return sales — use search_card_sales or summarize_card_market for that. Trading cards only.

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