cTrader Admin MCP server lets managers query broker data with AI

cTrader has announced the cTrader Admin MCP server in version 10.4 of its trading platform. The server lets brokers connect compatible AI apps, including ChatGPT Desktop and Claude, to their platform data. Managers can use plain-language requests to investigate trading events, review exposure and account performance, and inspect platform settings within their existing access permissions.

Working out why an order was rejected or how a disputed trade was executed takes time. A manager has to check the order history, the linked deals, the account permissions and the symbol settings, then put the picture together. The MCP server hands that work to an AI assistant, which collects the relevant records and prepares an analysis. The manager can then review the evidence, identify further checks and decide what action is needed.

Investigating complaints and balance movements

In a typical case, a client complains about a rejected order. The assistant retrieves the order history and linked deals, rebuilds the sequence of events, and checks it against account permissions, symbol settings and trading conditions. For a disputed execution price, it compares the recorded deal with the order timeline, pricing settings and historical market data. If the evidence does not point to an exact cause, the assistant states what remains uncertain and which checks are needed.

Balance movements can be examined too. The assistant retrieves the charges recorded for a position and checks them against group and symbol settings, swap rates and charging schedules. Anything the data does not confirm is marked for further verification. It can also review available balance and bonus histories alongside trading records to explain deposits, withdrawals, credit adjustments, fees and other recorded movements.

Risk exposure and account reviews

A manager can ask which symbols carry the largest exposure at the moment and which accounts contribute to it. The assistant breaks down bought, sold and net volumes by symbol, currency and book. It treats A-book and B-book separately and converts notional values into one currency for comparison. For open positions, it identifies the largest unrealised gains and losses and traces them to the accounts behind them.

Managers can also ask which accounts are closest to stop-out. The assistant compares equity, used margin, free margin and margin level with the settings of the relevant group. Realised results follow the same approach: a manager picks a period, compares accounts and looks at weekly trading activity. All answers rely on retrieved account data. The assistant does not monitor accounts automatically and makes no predictions.

Configuration checks and access controls

The assistant can also review the platform setup. It reads symbol specifications, sessions, limits and markups, compares them with the broker's requirements and lists the differences in a checklist for manual review. For prices, it goes through historical bars and ticks and flags gaps and other unusual behavior for further investigation.

A manager turns on the MCP server in cTrader Admin and connects a supported AI application, such as ChatGPT Desktop, Claude Desktop, Claude Code, Codex CLI or another MCP-compatible app. The server runs locally within cTrader Admin. Access to broker data requires an authenticated manager session and follows that manager's permissions, so the assistant cannot retrieve anything outside their authorized scope. All operations are read-only. The assistant gathers data from different parts of the platform and reports its findings in one conversation, but it cannot execute trades or change account settings or configuration. Findings still need to be verified before any operational decision.

Irina Olyaeva, Product Manager for cTrader Admin at Spotware, said: "Our goal is to make AI genuinely useful for the people running brokerages every day. A manager investigating a trading complaint should be able to ask a question and get the relevant evidence without spending time collecting records from different sections of the platform. With the cTrader Admin MCP server, we're making broker data easier to work with while keeping access and operational decisions firmly under the broker's control."

Spotware Systems, a leading fintech company, was founded in 2010 and is based in Limassol, Cyprus. It has a global team of more than 200 professionals and makes cTrader, cBridge, a standalone, fixed-price liquidity bridge for all platforms, and cAntifraud, an AI-powered fraud detection solution. Its expertise has been recognized with multiple international industry awards, including Best Trading Platform, Best Services for Partners and Best Mobile Trading App.