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Trading platform developer Spotware Systems has launched cTrader AI Agent Connect, a Model Context Protocol integration that allows AI agents to connect directly to the cTrader platform and execute trades, manage positions, run technical analysis and control charts through natural language prompts.
The launch marks a meaningful step beyond the AI-assisted analytics tools that have proliferated across trading platforms over the past two years. Where most implementations stop at signals, commentary or chatbot-style market summaries, cTrader AI Agent Connect gives AI agents the ability to act inside a live trading environment, not merely observe it.
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The integration is built on the Model Context Protocol (MCP), an open standard developed by Anthropic that has become the dominant specification for connecting AI agents to external tools, platforms and services. MCP effectively gives an AI agent hands: rather than simply generating text responses, an agent using MCP can read data from, and write actions to, any platform that supports it.
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Applied at the execution layer of a trading platform, it means an AI agent can receive a natural language instruction and carry out the full sequence of actions required to fulfil it, including placing orders, adjusting positions and pulling account data, without a human clicking through each step.
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The solution supports Claude Code, ChatGPT Codex, Cursor, Gemini CLI and others
Until now, the dominant pattern has been AI sitting alongside trading: generating signals, summarising news, explaining indicators. cTrader AI Agent Connect moves AI inside the workflow itself. A trader using Claude Code, ChatGPT Codex, Cursor, Gemini CLI or any compatible AI agent can now describe what they need in plain language and have the agent execute it directly on the platform, placing orders, managing risk, pulling account data and running analysis as part of a single automated sequence.
For the prop trading sector in particular, where technical sophistication among traders has risen sharply and platform differentiation increasingly turns on tooling, this is a notable development. cTrader serves more than 300 brokers and prop firms and over 11 million traders globally.
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What cTrader AI Agent Connect includes
The solution comprises two MCP servers and a prebuilt Skills library.
The Remote MCP server provides AI agents with access to core trading and account operations through cTrader Web. Setup requires copying a configuration token from the platform's Web settings and pasting it into the AI agent, after which account operations, order and position management and market data analysis become available remotely.
The Local MCP server runs within cTrader Windows and covers a wider set of platform functions, including account and trading operations, market analysis and workspace control. Because it runs locally, it offers broader scope for task automation within the trading environment itself.
The Skills library provides ready-made workflow instructions for common trading operations, removing the need for traders to build agent instructions from scratch or figure out how to adapt AI Agent Connect to their operations. A dedicated Help Centre section covers the full Skills library with guidance on each Skill's application.
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Ilia Iarovitcyn, CEO, Spotware Systems
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Ilia Iarovitcyn, Chief Executive of Spotware Systems, framed the launch as a response to a structural change in how traders interact with markets.
"Trading is entering a new phase, where AI-powered agents are moving beyond simple question-answering and becoming active participants in how traders analyse markets and execute trades. That is why we launched cTrader AI Agent Connect. It gives traders a reliable way to integrate AI agents securely into their trading workflows, improve decision-making quality and automate much of the manual work."
Ilia Iarovitcyn
Chief Executive Officer, Spotware Systems
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The announcement positions Spotware directly in the accelerating competition between FX and CFD platform providers on AI capability. With MetaTrader's dominant installed base increasingly challenged by platforms that move faster on technology, adding native MCP support at the execution layer is a credible differentiator. It also signals a broader intent: that cTrader is building for a trader base that will increasingly use AI agents as a core part of their daily workflow rather than as an optional add-on.Â
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LiquidityFinder's View
The launch of cTrader AI Agent Connect raises a question that the FX and CFD industry could now be debating for some time. Expert Advisors (EAs) on MetaTrader have dominated automated retail trading for two decades, but their central limitation has always been the coding barrier. Building an EA requires MQL5 proficiency, which puts genuine strategy automation out of reach for most traders and has sustained an entire marketplace of third-party developers and signal sellers as a result.
AI agents operating via MCP remove that barrier almost entirely. A trader who cannot write a line of code can now describe a trading workflow in plain language and have an AI agent execute it directly on the platform.
This is a different model. Whether it displaces MetaTrader's installed base in any meaningful timeframe is another question: broker switching costs are high, the MT5 ecosystem is deeply entrenched, and Metaquotes has survived competitive pressure before. But among the technically sophisticated prop trading cohort where cTrader has already been gaining ground, the direction of travel looks clear.
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