"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 Claude to interact with R package development workflows, including CRAN metadata lookup, dependency checking, testing, documentation validation, and release automation.

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.

Real-time financial market data MCP server. Stocks, crypto, technicals, sentiment, FDA calendar. No API keys required.

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

Including SSI, TCBS, DNSE

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.

Give any LLM agent a real Android or iPhone. 62 MCP tools: tap, swipe, type, screenshot, screen-tree reading, app launch, camera, TTS, crash reports, batched execution. Android via ADB, iPhone via WebDriverAgent, on-device inference, Docker+KVM emulators. Works with Claude Code, Cursor, LangChain, LlamaIndex, and any MCP client. MIT.

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

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.

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.

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 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.

Enables searching Bluesky, Substack, and Hacker News content via structured APIs with optional x402 micropayments or API key authentication.

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

Provides a read-only interface to audit and continue coding agent sessions by extracting plans, intents, and edit authorship from history across multiple agents (Claude, Codex, OpenCode, Antigravity, Pi) via MCP, CLI, and Python SDK.

Enables AI assistants to interact with humans through GUI dialogs for text input, choices, confirmations, and information display.

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 assistants like Claude to interact with humans through intuitive GUI dialogs, supporting text input, choices, confirmations, and information displays.

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 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 Large Language Models to access and manipulate Autodesk Revit models through a pyRevit-based bridge and the Model Context Protocol.

econ-r-mcp is a local MCP server plus companion skill for reproducible applied econometrics and statistics workflows powered by headless R execution.

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