Zawya - Press Release: "Capital.com" enables traders to link their accounts to AI assistants and conduct direct, real-time transactions.

Dubai – Capital.com , the global online trading platform, has activated the Model Context Protocol ( MCP ) add-on, which allows clients to access the platform from within their chosen AI assistant environment. This free, open-source tool connects a trader's Capital.com account directly to an AI assistant on their device. Compatible with tools including Codex, Cloud Desktop, and Corsair, this integration adds live market data, available trades, portfolio exposure, historical prices, and client positions in aggregate to the client's existing research environment, eliminating the need to switch between platforms between analysis and execution.

This allows customers to execute transactions directly from within the AI assistant, with each order going through a mandatory two-step review and confirmation process before execution. Having this context in one place supports more informed decision-making, especially when time constraints limit the scope for review before acting.

The server operates as a local tool on the client's device. Capital.com does not control the AI environments compatible with this tool, so clients should review the data and privacy terms of any AI assistant they choose to use. The server does not make or suggest trading decisions; all trading decisions remain solely with the client. The tool does not alter or eliminate the risks associated with trading CFDs. Clients can test all server functions in a demo environment before linking it to an active account.

Commenting on the new server architecture, Sasha Gubuchkin, Chief Product Officer at Capital.com , said: “Our clients use AI tools to conduct market research, and this led us to wonder what happens to the quality of the decision between the moment an opinion is formed and the moment it is acted upon? If the answer is that they move across platforms, lose context, and execute in conditions different from those they analyzed, then this is a structural problem for them. This integration was designed to help close that gap, not to make trading faster, but to make the path from research to decision more consistent.”

Tarek Chebib, CEO of Capital.com in the Middle East and North Africa, said: “The UAE has been keen to create the appropriate infrastructure for the responsible adoption of artificial intelligence, and this integration embodies that direction. Clients in the Middle East and North Africa region who use this tool do so through a platform subject to the regulations of the Capital Market Authority, and with the same governance and customer protection procedures that apply to all aspects of our services. The tool does not change the nature of the market, but rather the amount of information that the client can base their decision on before acting. This distinction is only valid if the tool is governed by a sound regulatory framework, and that applies to our tool.”

What the Capital.com model context protocol server supports

  • Live market data across forex, cryptocurrencies, commodities and indices
  • Real-time portfolio review including available trades, orders in progress, and exposure
  • Historical price data and customer attitudes
  • Two-step preview and confirmation are integrated when processing orders.
  • Compatibility with leading AI-based research and software environments
  • This tool is available free of charge to existing Capital.com customers without any additional subscription.

The Model Context Protocol ( MCP ) Server tool is now available at no additional cost to eligible clients of CapitalCom MENA Securities Trading LLC, which is authorized and regulated by the Securities and Commodities Authority. Setup documentation for all supported AI environments is available at the following link: https://help.capitalccmena.com/hc/en-us/articles/34503224230674-How-to-set-up-the-Capital-com-AI-MCP-Server

It should be noted that Capital.com is not legally responsible for the protocol context of the aforementioned model, nor for the behavior of the massive language models.

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