Best Financial Data APIs for Model Context Protocol (MCP)

Twelve Data is a dynamic financial data platform catering to developers, analysts, and businesses looking for real-time financial data. Offering a wide array of information across stocks, commodities, forex, and cryptocurrencies, Twelve Data makes it easy to integrate market insights into various applications with its robust API. Users can access a rich set of features, including real-time price data, historical data, financial news, and advanced stock screening tools. With Twelve Data, businesses can leverage accurate and up-to-date information to make informed decisions, streamline trading strategies, and stay ahead of market trends. Its simple and accessible interface ensures that users can easily navigate the platform while powerful tools enhance their ability to analyze data effectively.

EODHD serves as a robust financial data API platform, granting developers and analysts seamless access to an extensive array of global market information through a single, cohesive interface. The platform boasts more than three decades of historical data and provides real-time and intraday feeds from over 60 stock exchanges, encompassing in excess of 150,000 tickers, which include stocks, ETFs, mutual funds, bonds, Forex pairs, and digital currencies. Users can benefit from a diverse selection of datasets, such as end-of-day prices, real-time OHLCV data, corporate actions including splits and dividends, financial news, technical indicators, macroeconomic statistics, and stock screening tools, all conveniently accessible through REST APIs and WebSocket connections. Additionally, EODHD facilitates the integration of this wealth of data into various applications, enhancing decision-making and analytical processes for its users.

CommodityPriceAPI is a developer-centric REST API that provides both real-time and historical pricing information for over 170 commodities, which encompasses precious metals like gold and silver, energy resources such as WTI and Brent crude, natural gas, and various agricultural products. The price data is compiled from exchange-grade sources and updated every second, supporting more than 150 different currencies for quoting. The API features five straightforward endpoints that streamline the entire process: it offers the latest rates, historical data dating back to January 1990, time-series analytics, fluctuation calculations, and a reference for symbols, all secured with a single API key and delivered in a clean JSON format. Users can expect to integrate the API in under five minutes without requiring any SDK. Additionally, the platform includes a dedicated MCP server, which allows AI assistants like Claude and Cursor to access both live and historical commodity data seamlessly. Designed for use in fintech dashboards, trading applications, agri-tech solutions, and energy monitoring systems, it boasts an impressive uptime of 99.97% and an average response time of less than 80 milliseconds, ensuring reliability and efficiency for all users. The versatility of the API makes it an essential tool for developers looking to incorporate commodity pricing into their applications.

Equibles is an advanced platform that harnesses AI technology to provide comprehensive US stock-market data tailored for both investors and developers. It offers a wide array of resources including full-text search for SEC filings, transcripts from earnings calls, details on 13F institutional holdings, insider trading information, congressional trades, short interest metrics, and squeeze scores, along with macroeconomic data from FRED, CFTC, and CBOE, as well as valuation multiples and an efficient stock screener. All of this information is made accessible through an AI research assistant named ALVIS, a hosted Model Context Protocol (MCP) server, and a public REST API that is meticulously documented using OpenAPI standards. Users can benefit from a free tier that allows up to 100 API calls per day without requiring a credit card, making it an attractive option for those looking to explore stock data. Additionally, the platform's ease of use and powerful tools empower users to make informed investment decisions.

Worthune serves as a comprehensive catalog of financial planning models that are accessible via a REST API, managed through an MCP server, and available in the form of embeddable calculators. Each model adheres to a versioned public specification and undergoes rigorous Concordance testing; this necessitates that an independent second implementation, crafted in a language distinct from the original specification, must align with the production engine across 250 specific cases per model, achieving an accuracy of one part in a billion prior to any release. Continuous integration processes ensure that every modification triggers the harness, where any discrepancies halt the release process. Furthermore, each response includes the specification version, the government constants utilized, their primary sources, and check dates, along with a SHA-256 decision record that can be stored and recomputed later to validate the origin of the figures presented. Designed with developers in mind, Worthune enhances financial mathematics for applications in fintech, wealthtech, and banking sectors; it is particularly valuable for teams needing to demonstrate compliance to reviewers concerning the origins of financial data, as well as for AI agents that require reliable and deterministic financial computations instead of mere predictive outputs. This unique approach not only fosters trust but also ensures precision and accountability in financial modeling.