AI Wave Reaches Prop Firms as FundedNext Launches MCP Server

Tuesday, 14/07/2026 | 12:55 GMT by Tareq Sikder
  • Unlike some broker implementations, the integration is read-only, preventing AI from executing trades.
  • Recently, brokers such as Dukascopy, ThinkMarkets and Leverate have launched MCP integrations
Screenshot from the FundedNext website
Screenshot from the FundedNext website

Prop trading firm FundedNext has launched a Model Context Protocol server that allows traders to connect their FundedNext accounts with AI assistants, including Claude, ChatGPT, Gemini, and other MCP-compatible tools.

While several retail brokers have recently launched MCP integrations, FundedNext appears to be the first prop trading firm to introduce the technology. In recent weeks, brokers including Dukascopy and ThinkMarkets have introduced MCP servers that allow AI assistants such as ChatGPT and Claude to interact with trading accounts, while Leverate launched an MCP server for brokers' operational systems.

Unlike some of those implementations, FundedNext's integration provides read-only access to account information and cannot execute trades or modify account settings.

FundedNext Enables Read-Only AI Account Access

According to the company, the integration can be completed in under two minutes. Once connected, traders can ask the AI assistant about their FundedNext accounts using live account data.

The integration provides read-only access to account information. Traders can use AI assistants to check account details, payouts, trading performance, and applicable trading rules. The company said the AI cannot execute trades, modify accounts, or change user settings. The service is available free of charge for all traders.

OAuth Authentication Secures AI Integration

The integration uses the Streamable HTTP transport protocol and requires users to authenticate through FundedNext using OAuth 2.0. The company said users sign in through their FundedNext accounts and that passwords are not shared with the AI assistant.

Model Context Protocol is an open standard that enables AI assistants to connect securely with external applications and data sources. FundedNext said its implementation gives compatible AI tools access to live account information while preventing them from making changes to user accounts.

FundedNext Relaunched US Services on Match-Trader

The MCP launch comes as FundedNext continues to expand its business across new products and markets. The company returned to the US CFD prop trading market last year after suspending services following MetaQuotes' restrictions on prop firms using MetaTrader.

The relaunch came about six months after the company introduced its FundedNext Futures brand in the US. Unlike its previous offering, the renewed CFD prop service uses the Match-Trader platform. FundedNext has also expanded beyond prop trading by launching a CFD brokerage and pursuing regulatory licences in several jurisdictions.

Prop trading firm FundedNext has launched a Model Context Protocol server that allows traders to connect their FundedNext accounts with AI assistants, including Claude, ChatGPT, Gemini, and other MCP-compatible tools.

While several retail brokers have recently launched MCP integrations, FundedNext appears to be the first prop trading firm to introduce the technology. In recent weeks, brokers including Dukascopy and ThinkMarkets have introduced MCP servers that allow AI assistants such as ChatGPT and Claude to interact with trading accounts, while Leverate launched an MCP server for brokers' operational systems.

Unlike some of those implementations, FundedNext's integration provides read-only access to account information and cannot execute trades or modify account settings.

FundedNext Enables Read-Only AI Account Access

According to the company, the integration can be completed in under two minutes. Once connected, traders can ask the AI assistant about their FundedNext accounts using live account data.

The integration provides read-only access to account information. Traders can use AI assistants to check account details, payouts, trading performance, and applicable trading rules. The company said the AI cannot execute trades, modify accounts, or change user settings. The service is available free of charge for all traders.

OAuth Authentication Secures AI Integration

The integration uses the Streamable HTTP transport protocol and requires users to authenticate through FundedNext using OAuth 2.0. The company said users sign in through their FundedNext accounts and that passwords are not shared with the AI assistant.

Model Context Protocol is an open standard that enables AI assistants to connect securely with external applications and data sources. FundedNext said its implementation gives compatible AI tools access to live account information while preventing them from making changes to user accounts.

FundedNext Relaunched US Services on Match-Trader

The MCP launch comes as FundedNext continues to expand its business across new products and markets. The company returned to the US CFD prop trading market last year after suspending services following MetaQuotes' restrictions on prop firms using MetaTrader.

The relaunch came about six months after the company introduced its FundedNext Futures brand in the US. Unlike its previous offering, the renewed CFD prop service uses the Match-Trader platform. FundedNext has also expanded beyond prop trading by launching a CFD brokerage and pursuing regulatory licences in several jurisdictions.

About the Author: Tareq Sikder
Tareq Sikder
  • 2374 Articles
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About the Author: Tareq Sikder
Tareq is a financial writer with 15 years of experience covering global markets. His work spans technical analysis, forex broker reviews, and market sentiment, with a focus on topics relevant to retail traders. He joined Finance Magnates in 2023. At Finance Magnates, he serves as News Editor, covering retail forex and CFD brokers, cryptocurrency exchanges, fintech firms, and regulatory developments shaping the trading industry. He holds an Honours degree in Information Technology from Anfell College, London. Education: Honours degree Information Technology, Anfell College, London
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