Oanda MCP Server

The Oanda MCP Server bridges the gap between AI assistants and live Forex trading by exposing a full‑featured REST API that conforms to the Model Context Protocol. It runs on Railway, making deployment a single click, and handles authentication with Oanda’s API via environment variables. This eliminates the need for developers to write custom wrappers or manage OAuth flows when integrating trading capabilities into AI workflows.

At its core, the server provides a tidy set of endpoints that cover every stage of a typical trading lifecycle. From retrieving account balances and open positions to placing market or limit orders, the API mirrors the functionality a trader would expect in the Oanda platform. Historical and real‑time price data are also available, enabling AI agents to analyze market trends or backtest strategies directly within the same context. Order cancellation and position closing are supported, giving agents full control over trade execution without leaving the MCP environment.

Key features include:

• Account and position management – quick access to balances, margin usage, and current holdings.
• Order placement – both market and limit orders with a single POST request, simplifying execution logic for the assistant.
• Price feeds – instantaneous quotes and historical candles accessible via GET endpoints, ideal for data‑driven decision making.
• Order lifecycle control – cancel or close orders through straightforward endpoints, allowing the assistant to respond to changing market conditions.

Real‑world use cases span automated trading bots that react to news sentiment, portfolio rebalancing assistants that adjust exposure based on risk parameters, and educational tools that let students experiment with live data without risking real capital. By exposing these capabilities through MCP, the server enables AI assistants to embed trading logic directly into conversational flows, turning a chat interface into a powerful decision support system.

Integration is seamless: an AI assistant can request account information, analyze price trends, and issue a market order—all within the same context. The server’s lightweight design and clear endpoint structure make it an attractive choice for developers who want to add robust, real‑time trading functionality to their AI applications without wrestling with low‑level API details.