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

Provides real-time stock data, technical indicators, and market analysis via MCP protocol to enable AI-driven quantitative trading.

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.

Live market data for AI agents. 8 tools: real-time crypto prices, OHLCV candles, order books, market cap rankings, trending coins, technical analysis (RSI/SMA/z-score), asset comparison, and Fear & Greed index. Zero API keys, zero dependencies.

Enables AI agents to query live pricing, resale, company KYC, SEC filings, patents, trademarks, public tenders, auctions and related market intelligence through MCP, returning clean typed JSON from primary sources on a pay-per-result basis.

An MCP server providing A-share market data tools (daily OHLCV, real-time quotes, financials, northbound capital flow, sector lists) with zero dependencies, also serving as a template for building custom MCP servers.

Enables MCP clients to directly access A-share market data, including real-time quotes, K-lines, market statistics, sector performance, multi-condition stock screening, and latest financial indicators.

MCP server that lets an AI analyst place real bets on Binance prediction markets, using Kelly criterion sizing, and tracks its performance through a transparent record of betting slips and outcomes.

Enables fetching market and options data including OHLCV prices, option chains, Greeks, and corporate events through a pluggable FastAPI service. Supports creating aligned training datasets for financial analysis and uses yfinance by default with support for custom data providers.

Institutional-grade quantitative stock analysis and research signals for AI agents via the Model Context Protocol (MCP).

Including SSI, TCBS, DNSE

Provides live cryptocurrency market data from over 100 exchanges, enabling AI agents to fetch prices, order books, funding rates, and more for trading analysis and arbitrage opportunities.

Provides read-only real-time market data, including snapshots, quotes, candlesticks, order book, tickers, and security search, from the Futu OpenAPI to MCP clients like Codex.

Enables AI assistants to access options analysis data, market research tools, portfolio risk snapshots, and platform context via 32 tools.

Enables AI assistants and agents to query exchange hours, futures expiries and roll calendars, settlement and FX sessions, DST gaps, Treasury yield curves, ECB FX rates, and CFTC positioning through paid x402 calls, while offering free catalog and listing helpers.

Provides live US stock quotes and historical price data via MCP tools.

Enables users to describe a market view and get real option structures priced against live order books, sized to budget, with payoff diagrams and worst-case outcomes.

Enables AI agents to perform market analysis through typed access to deterministic market data, technical indicators, backtesting, and position sizing via the Model Context Protocol.

Real-time stock quotes, batch quotes, and K-line (candlestick) data for A-share (Shanghai/Shenzhen), Hong Kong, and US markets. Covers 5 tools: stock_quote, stock_quote_batch, kline, market_status, and market_summary.

Read-only MCP server for options research with server-side filtering to reduce token usage. Supports Tradier and Alpaca data providers.

Enables AI agents to query synthetic packaged-coffee pricing data for elasticity estimates, price-change simulations, guardrail checks, price-ladder validation, and competitor positioning while logging read-only tool calls. It also includes evaluation tooling for grading whether agents use those pricing tools correctly and ground their answers in tool outputs.

ai-api-pricing-data MCP server

Provides access to Crypto APIs Market Data, enabling listing supported assets, fetching exchange rates, and retrieving asset details.

Local-first Taiwan market evidence workbench for AI agents with persistent Watchlists, governed MCP, auditable evidence, and explicit execute-once retrieval. GitHub Repository URL

Enables querying options chains and estimating gamma exposure for ETFs and liquid underlyings, including proxy gamma calculations and historical gamma snapshots.

Pre-trade risk validation and position sizing for AI trading agents via G-formula and Iron Fist.

Provides AI agents with real-time financial market intelligence including regime detection, adaptive signals, macro context chains, and cross-market analysis for crypto, US, and Korean stocks.

A comprehensive quantitative finance MCP server providing live financial analysis, including price/risk metrics, HMM market regime detection, backtesting, options analytics, fundamentals, sentiment, Monte Carlo simulation, pairs trading, factor models, and portfolio optimization. It integrates with Claude via natural language commands and uses only free data sources.

Enables LLM clients to analyze markets, research and optimize options strategies, and execute defined-risk vertical spreads on Interactive Brokers (paper-first) using an Opening Range Breakout signal across trading sessions.

Provides real-time stock quotes and batch market data to AI agents, secured via x402 micropayments on Base Mainnet.

Enables MCP clients to search a catalog of video games and consoles and retrieve Swiss observed market prices alongside separately kept external PAL references, with provenance, sample size, freshness and confidence. Read-only, it identifies items first so users get accurate per-source estimates instead of averaged prices of mixed origin.