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744,783 tools. Updated 2026-11-05 00:10

"Finding the best servers for quant trading, options pricing in Python, R, Rust and market data" matching MCP tools:

  • Quote LTL shipments by providing dimensions and commodity for a firm rate, or omit for indicative pricing. Presents Warp's quote first, then market options for user comparison.
    MIT
  • Check which portfolio trading rules trigger on today's real market data. Uses actual historical prices, returns triggered flags, actions, and recommended weights for daily monitoring.
    MIT
  • Get the specific markets and trading pairs where a coin trades, with per-market price and 24h volume. Use for 'where can I buy X', 'X price on Binance', 'best market for X'. For just the list of exchange names use getCoinExchanges.
    MIT
  • Retrieves full details for a prediction-market event contract, including outcomes, YES/NO pricing, trading timeline, and CFTC terms to support event analysis.
    Apache 2.0

Matching MCP Servers

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    license
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    Provides real-time market data tools (quotes, news, earnings calendar, watchlist scanner, and composite analysis) for AI agents via Finnhub, with optional Alpaca broker integration and graceful degradation.
    6
    MIT

Matching MCP Connectors

  • LinkdAPI - the best linkedin professional data API: Powerful, lightweight B2B Data API for.

  • Institutional-grade market data MCP server providing consolidated global equities, ETFs, FX, and crypto quotes, valuation multiples, technical indicators (RSI14, MACD, SMA, ATR14), earnings surprise context, and options implied volatility screening.

  • Retrieve current price, best bid/ask, and 24-hour trading statistics for a spread symbol. Get last traded price, high/low range, and volume in a single snapshot.
    MIT
  • Retrieve the latest ticker data including last trade price, best bid, best ask, and 24h rolling volume for any Luno trading pair. Use for a quick price snapshot without authentication.
    Go
    MIT
  • Search for data enrichments by query or category to find the right enrichment for tasks like email finding or company research. Returns ranked results with descriptions, parameters, and pricing.
    MIT
  • Retrieve current market prices, best bid/ask quotes, and 24-hour trading statistics for any Bybit symbol across spot, derivatives, and options.
    MIT
  • Compute market metrics including volume averages, volatility, SMAs, and trend direction for in-depth technical analysis of trading patterns beyond basic quotes.
    MIT
  • Find answers to Alpaca product questions about setup, account rules, funding, trading, market data, and FAQs. Use for conceptual guidance from official documentation.
    MIT
  • Check whether stored broker credentials are sealed under the master key and identify any trading or market-data connections holding keys in plain text, without exposing credentials.
    Apache 2.0
  • Retrieve live prices, OHLCV candles, funding rates, or order book data from cryptocurrency exchanges. Supports historical data and order book queries for trading analysis.
    Apache 2.0
  • Compare image models by pricing, latency, and best-use case to select the right one for your generation or editing task.
    MIT
  • Look up DeepLinkNow documentation by keyword to get matching sections and URLs for SDK setup, integration, pricing, plan limits, and error codes.
    MIT
  • Find downloadable AI models from Hugging Face GGUF repos or an offline catalog, with hardware-fit annotations, per-quant sizes, and pullable references for local runtimes.
    Creative Commons Attribution Non Commercial No Derivatives 4.0 International
  • Retrieve current market data for a tokenized stock, including mid price, day high/low, volume, and trading halt status.
    MIT
  • Configure Market Maker Protection for options trading by specifying window, frozen period, quantity, and delta limits. Set frozenPeriod to '0' to freeze until manual reset.
    MIT