FundedNext Launches MCP to Integrate AI Assistants with Trading Data

FundedNext has officially announced the launch of its Model Context Protocol (MCP), a tool designed to allow traders to interact directly with their account data using artificial intelligence. This integration aims to transform how users analyze their operational metrics by allowing them to "talk" to their own data.

Integration with Leading AI Assistants

Users can now connect their FundedNext accounts with the most advanced language models on the market, including Claude (Anthropic), ChatGPT (OpenAI), and Gemini (Google). Through this connection, it is possible to query statistics, account statements, and trading details in seconds using natural language.

Available Data and Metrics

Under the concept of a single connection for all account content, the system provides access to:

• Trading & Analytics: Detailed analysis of trades and performance.
• Account Management: KYC verification status, plans, and billing.
• Finances: Rewards, wallets, coupons, and active offers.

Advanced Analysis via Prompts

The tool allows for specific queries to optimize trading strategy. Traders can use text commands to get answers regarding:

• Identification of recurring patterns in losing trades.
• Real-time tracking of the remaining daily drawdown.
• Projections on meeting objectives to pass evaluation phases.
• Profitability analysis segmented by days of the week.

Security and Setup

The FundedNext MCP system has been designed under a Read-Only architecture. This ensures that AI assistants can access and analyze information accurately and safely, without having permissions to make modifications to the account or trades. The setup guide is now available on the firm's official website.