MetaTrader 5 Beta Adds Native AI Agents and MCP Support. Identity and Broker Tools Also Get an Overhaul

Thursday, 16/07/2026 | 19:23 GMT by Tanya Chepkova
  • MetaTrader 5 Build 6030 extends AI beyond MetaEditor, bringing AI agents into charts, market data, trading accounts and execution workflows.
  • Support for MCP reflects a wider industry trend, with major trading platforms increasingly embedding AI into their core architecture.
MetaQuotes

MetaQuotes releases a new beta version of MetaTrader 5, Build 6030, on Thursday, July 16, 2026, extending AI support beyond MQL5 development into charts, market data, trading accounts and execution workflows through a single interface.

MCP Replaces Provider-Specific AI Integration

Previous MetaEditor updates - Copilot support, ONNX models, GPT integration - focused on coding assistance. Build 6030 adopts the Model Context Protocol as a common interface, letting MetaTrader connect to external AI agents such as Codex and Claude Code without tying the platform to a single provider.

The bundled AI Assistant can analyse markets, explain trading activity, generate and debug Expert Advisors, flag programming errors and support strategy testing.

Other Platforms are Opening up to AI Agents the Same Way

MetaQuotes is not alone in routing AI access through an open protocol rather than a proprietary integration. Spotware Systems has opened cTrader to AI agents through a package it calls cTrader AI Agent Connect, built around two MCP servers and a workflow library.

A remote server runs through cTrader Web and covers account operations, order and position management and market data queries; traders generate a configuration token in platform settings and paste it into their AI client of choice.

TradingView has taken a different route to a similar end. Its AI Chart Copilot runs as a Chrome browser extension rather than an in-platform agent, sitting in the browser's side panel alongside a user's charts to help interpret market moves and manage a trading setup.

ThinkMarkets also launched a Model Context Protocol (MCP) server, allowing traders to connect any AI LLM of their choice. According to Nauman Anees, CEO of ThinkMarkets, AI cannot access traders’ funds or make deposits or withdrawals,” but it can execute orders.

The underlying shift is the same: trading platforms are exposing their charts, accounts and order management to external AI tools through standard protocols or browser-level integrations, rather than building AI features as closed, single-vendor products.

Identity and Broker Infrastructure Also Expand

Build 6030 introduces unified client accounts secured with passkeys, letting users manage multiple trading accounts under one profile — a change to how traders authenticate across the platform rather than to its AI layer.

On the broker side, MetaQuotes expanded Ultency, its liquidity and pricing engine, with synthetic instruments, floating execution markups and additional routing options.

The additions give brokers running on Ultency more control over how prices are constructed and routed for end clients, separate from the AI and MCP changes announced in the same build.

MetaQuotes releases a new beta version of MetaTrader 5, Build 6030, on Thursday, July 16, 2026, extending AI support beyond MQL5 development into charts, market data, trading accounts and execution workflows through a single interface.

MCP Replaces Provider-Specific AI Integration

Previous MetaEditor updates - Copilot support, ONNX models, GPT integration - focused on coding assistance. Build 6030 adopts the Model Context Protocol as a common interface, letting MetaTrader connect to external AI agents such as Codex and Claude Code without tying the platform to a single provider.

The bundled AI Assistant can analyse markets, explain trading activity, generate and debug Expert Advisors, flag programming errors and support strategy testing.

Other Platforms are Opening up to AI Agents the Same Way

MetaQuotes is not alone in routing AI access through an open protocol rather than a proprietary integration. Spotware Systems has opened cTrader to AI agents through a package it calls cTrader AI Agent Connect, built around two MCP servers and a workflow library.

A remote server runs through cTrader Web and covers account operations, order and position management and market data queries; traders generate a configuration token in platform settings and paste it into their AI client of choice.

TradingView has taken a different route to a similar end. Its AI Chart Copilot runs as a Chrome browser extension rather than an in-platform agent, sitting in the browser's side panel alongside a user's charts to help interpret market moves and manage a trading setup.

ThinkMarkets also launched a Model Context Protocol (MCP) server, allowing traders to connect any AI LLM of their choice. According to Nauman Anees, CEO of ThinkMarkets, AI cannot access traders’ funds or make deposits or withdrawals,” but it can execute orders.

The underlying shift is the same: trading platforms are exposing their charts, accounts and order management to external AI tools through standard protocols or browser-level integrations, rather than building AI features as closed, single-vendor products.

Identity and Broker Infrastructure Also Expand

Build 6030 introduces unified client accounts secured with passkeys, letting users manage multiple trading accounts under one profile — a change to how traders authenticate across the platform rather than to its AI layer.

On the broker side, MetaQuotes expanded Ultency, its liquidity and pricing engine, with synthetic instruments, floating execution markups and additional routing options.

The additions give brokers running on Ultency more control over how prices are constructed and routed for end clients, separate from the AI and MCP changes announced in the same build.

About the Author: Tanya Chepkova
Tanya Chepkova
  • 290 Articles
  • 2 Followers
About the Author: Tanya Chepkova
Tanya Chepkova is a News Editor at Finance Magnates with more than 16 years of experience in financial journalism, covering forex, crypto, and digital asset markets. Her work spans daily industry reporting and data-driven, long-form explainers focused on market structure, trading models, and regulatory shifts. Before joining Finance Magnates, she led the editorial team of a cryptocurrency-focused media outlet for six years. Her reporting combines analytical depth with clear storytelling, with particular attention to how structural changes in trading, stablecoin infrastructure, and emerging products such as prediction markets reshape the broader financial ecosystem. She covers global developments and provides additional insight into CIS markets. Areas of Coverage: Crypto and digital asset markets Prediction markets Stablecoins and cross-border payments Industry analysis and long-form explainers
  • 290 Articles
  • 2 Followers

More from the Author

Retail FX

!"#$%&'()*+,-./0123456789:;<=>?@ABCDEFGHIJKLMNOPQRSTUVWXYZ[\]^_`abcdefghijklmnopqrstuvwxyz{|} !"#$%&'()*+,-./0123456789:;<=>?@ABCDEFGHIJKLMNOPQRSTUVWXYZ[\]^_`abcdefghijklmnopqrstuvwxyz{|}