"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.

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

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.

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

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.

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.

Provides real-time options analytics, pricing with Greeks, Monte Carlo simulations, volatility analysis, strategy backtesting, and risk metrics using actual market data from Yahoo Finance and Polygon.io.

Provides Python and FastAPI coding best practices with searchable guidelines, code review capabilities, and actionable improvement suggestions with examples across general coding, performance, and code quality categories.

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.

An MCP server providing real-time market data, technical analysis, prediction market odds, and strategy backtesting for crypto, equities, and prediction markets.

Provides a stable, side-effect-free MCP tool contract that enables AI workflows to be prototyped, demoed, tested, or dry-run without connecting to databases, APIs, files, or other real data sources. It enables swapping in a real data server later without changing the AI-facing interface.

Enables querying Medicare payment amounts for physician services, lab tests, and DMEPOS items, plus daily unit limits and NCCI code-pair billing edits, with vintage- and locality-aware answers.

Enables an Alexa+ host to place and manage customer-care calls by building a case, navigating phone menus, waiting on hold, explaining the issue, guarding sensitive disclosures, handing off identity checks, recording ticket numbers and promises, and scheduling follow-ups.

Analyzes application crash dumps and extracts debug symbols, transforming Windows minidump files into readable stack traces and providing AI-powered crash analysis to help identify root causes and fix critical issues.

An open-source Model Context Protocol (MCP) server for the Open Telekom Cloud (OTC) Price Calculator API. Expose OTC pricing data to Claude and other LLM clients with full observability.

Enables AI agents to search and retrieve UK company data, including company details by Companies House number, group ownership structures, website associations, and Real-Time Industrial Classification definitions.

Enables real-time options order flow analysis with pattern detection, institutional bias tracking, and monitoring of specific strike ranges and expirations. Provides comprehensive options trading data through integration with a high-performance Go-based data broker.

Enables querying item prices, offers, and market analysis for the LATAM Ragnarok Online server (FREYA) via an MCP interface.

An MCP server that exposes AWS EC2 pricing data with an option to search by CPU, RAM, networking

Extracts and structures pricing pages from any SaaS site, including plans, tiers, and features.

Enables users to retrieve live pricing data for AI models across vendors, including input and output prices per 1k tokens, via a simple API.

An MCP server that gives Claude the ability to analyze trading setups across IDX, Forex, and Crypto markets without executing trades.

Enables ChatGPT users to fetch Yahoo Finance stock quotes, history, company details, options, screeners, fund data, market overviews, and event calendars through natural-language requests via a remote MCP endpoint, without writing Python or using an OpenAI API key.

Provides foundational trading utilities by fetching market data through Akshare and computing technical indicators like RSI and MACD using TA-Lib. It enables users to retrieve candlestick data and technical analysis series via a standardized MCP interface.

Enables LLM agents to fetch live Yandex Market data via plain HTTP, with honest labeling of prices (pay-card vs plain vs discounted), sponsored tiles, seller and model-group ratings, reviews, questions, and seller legal details. It avoids common scraped-data traps such as misleading discounts, captcha pages, and cross-border or conditional offers.

AI-native quantitative trading signal engine for crypto and TradFi perpetuals. Multi-factor composite BUY/SELL/HOLD signals, cross-venue funding rate arbitrage scanning, and market regime detection powered by Hyperliquid data.

Prediction-market intelligence and crypto paper trading for AI agents. Explore data across 12 venues with 38 MCP tools, including 11 keyless tools on the hosted endpoint. Compare markets, track whales and discover crypto movers. Add a CoinRithm API key for simulated spot, futures and prediction-market trading, portfolio tracking and execution exports.

A comprehensive MCP server for the Indian stock market, providing 68 tools for stocks, derivatives, mutual funds, commodities, and more without any API keys.

Enables authenticated users to manage paper-trading accounts, place and cancel orders with simulated fills, view positions and P&L, search instruments, fetch bars, and run quant-strategy lifecycles over stdio or streamable HTTP.