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8 servers with tools matching “query”Best-graded first
X402 Listcom.x402-list/x402-list-mcpAPublisher
  • x402_search_services

    Your first call when you do not know which x402 service exists for a job: it narrows a directory of 500+ listed services to candidates. Filter by free-text query, category, network, live status, and whether the last observed 402 envelope is signable by a standard x402 client; sort by newest, uptime, cheapest, or endpoints. Returns up to 100 compact summaries a page: price in decimal USD, uptime, status, verification. Then x402_get_service for the full record.

AINumbers Fintech Intelligence Suiteco.ainumbers/toolsAPublisher
  • find_chain

    BM25 search over all 368 AINumbers ChainGraph chains. Returns ranked chains with their full recipe: ordered node sequence, deep-links, composer URL, and entry tool mcp_name. Agent flow: find_chain(query) → read recipe → call the listed node MCP tools in order, passing parent_hashes between steps. Task-shaped queries work well: "reserve composition recompute", "FR 2052a classification", "CCP margin replication", "SR 26-2 model validation benchmark", "litigation damages recompute", "evidence pack assembly".

Stockcn.pianam.mcp/stock-mcpAPublisher
  • query_stock_quote

    查询个股实时行情,支持股票代码(如 sh600519、600519)或名称(如 贵州茅台)。返回现价、涨跌额、涨跌幅、今开、昨收、最高、最低、成交量等数据。

  • query_index

    查询A股三大指数实时行情,包括上证指数、深证成指、创业板指的点位、涨跌幅和市场整体趋势。

OneQAZ Trading Intelligenceio.github.wnsod/oneqaz-trading-mcpAVerified
  • get_trade_history

    Purpose: Query paper-trading history with dynamic filters (action / P&L / time / symbol). Triggers (casual questions too): "what trades happened lately?", "최근 거래 내역 보여줘", "how did the BTC trades go?", "승률 어때?", "show me the trade log", "how many trades won this week?". 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.

  • get_signals

    Purpose: Query research signals with dynamic filters (symbol / interval / action / score / confidence). Triggers (casual questions too): "should I buy / sell X?", "살까 말까?", "good entry?", "what's the signal for BTC / AAPL / 삼성전자?", "is X bullish or bearish?", "any buy signals right now?". Returns a research signal + score (NOT an order or advice — always surface the disclaimer). Pair with get_latest_decisions to show what the system did. When to call: drilling into a specific signal slice; symbol-by-symbol scanning; any "should I trade X?" question about a live symbol. Prerequisites: market://{market_id}/signals/summary recommended for global view. Next steps: get_signal_detail, get_role_analysis. Caveats: When `symbol`/`coin` is omitted, the whole market is scanned in one consolidated query (2 newest rows per symbol, newest-first scan cap per interval). Args: market_id: Market ID (crypto, kr_stock, us_stock; aliases coin/kr/us accepted) symbol: Asset identifier to query (preferred; optional — targets a specific symbol DB) coin: Legacy alias of symbol (kept for backward compatibility) interval: Timeframe filter (15m, 30m, 240m, 1d, combined) action_filter: Action filter (buy, sell, hold) min_score: Minimum signal score threshold min_confidence: Minimum confidence threshold limit: Max results (default 500) hours_back: Only signals within last N hours (default 24) Disclaimer: Information only, not investment advice. Signals are research output, not orders.

  • search

    Purpose: ChatGPT-connector-standard discovery search over OneQAZ's live surface — tools, resources, and the latest strong combined signals across crypto / kr_stock / us_stock. Returns result ids consumable by the `fetch` tool. Triggers: ChatGPT connectors and Deep Research call this automatically for any user query routed to OneQAZ ("bitcoin signal", "prediction accuracy", "korean stocks today", ...). Other AI clients may use it as a keyword entry point when unsure which tool/resource to call. When to call: first step of connector-style discovery. MCP-native clients can instead browse tools/list + resources/list directly. Prerequisites: none. Next steps: pass any result id to `fetch` for the full document. Caveats: corpus is rebuilt at most every 10 minutes (tool/resource catalog + top-20 strong signals per market). Empty results list means no match. Output: {results: [{id, title, url}], disclaimer, is_investment_advice, data_classification} — flat envelope, OpenAI fixed shape. Args: query: free-text search string (English/Korean, symbols like BTC/AAPL) Disclaimer: Information only, not investment advice.

Apiguru Amazon Dataapp.apiguru/amazon-dataAPublisher
  • seller_products

    Products listed by a seller: a storefront search. Takes the same filters as search -- query, page, sort_by, category_id, min_price / max_price, product_condition, brand, today_deals, deal_type -- and answers with filters_applied, filters_ignored and available_filters like search does. Price: $0.01 per call. Unlike seller_profile_batch, seller_id format is not pattern-validated here. metadata.total_pages says how far page goes (48 rows a page). Invalid sort_by, price, product_condition or deal_type is a free 400 that lists the allowed values.

GCP Billingio.github.mcp-dir/gcp_billing-mcpAVerified
  • gcp_billing_list_accounts

    List GCP Billing BigQuery export credential records linked to this install.

  • gcp_billing_cost

    Query normalized GCP Billing BigQuery export costs by day, service, project, and SKU. Returns compact totals only.

  • gcp_billing_top_services

    Query top GCP services by cost from the user's BigQuery billing export. Returns normalized service totals.

Bullrunorg.bull-run/bullrunAPublisher
  • query_etfs

    Compatibility tool for older clients: search the Bullrun ETF universe and optionally bundle profile, recent prices, and latest holdings for an exact ticker. New clients should use search_etfs, get_etf_snapshot, and get_etf_holdings for smaller responses, structured output, quantitative filters, and explicit coverage metadata. Read-only.

Stock Market Data MCPio.github.FoundryNet/market-data-mcpAVerified
  • price_history

    Get OHLCV price history for a ticker — open/high/low/close/volume bars over a window, for charting, backtesting, and technical analysis. 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.

  • options_chain

    Get the option chain for a ticker — calls and puts with strike, last price, bid/ask, volume, open interest, and implied volatility, plus the available expiries. (Greeks are not provided by the source; IV/OI/volume are.) PAID: $0.02 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.

  • screener

    Screen the tracked large-cap universe by market cap, trailing P/E, dividend yield, and sector — returns matching stocks ranked by market cap. A raw market-data filter; for a ranked, fundamentals-driven screen pair this with financial-signals-mcp's composite_value_score. 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.