Deriv API MCP Server

Overview

The Deriv API Server is a lightweight Model Context Protocol (MCP) gateway that exposes the trading and account functions of Deriv’s RESTful API to AI assistants such as Claude. By wrapping Deriv’s endpoints in MCP tools, developers can let conversational agents query real‑time market data or check account balances without writing custom integrations. This solves the common problem of bridging stateless AI dialogue with stateful financial services, allowing assistants to act as a first‑class interface for traders and analysts.

At its core, the server implements two useful tools: and . The former pulls a live list of all tradable symbols, enabling agents to answer questions about available markets or to dynamically populate trade options in a chat. The latter retrieves the current balance of the authenticated Deriv account, allowing assistants to provide up‑to‑date portfolio information or to trigger risk checks before a new trade. Both tools are exposed as MCP capabilities, so any client that understands the protocol—Claude Desktop, OpenAI function calling, or custom tooling—can invoke them with a simple JSON payload.

The server’s value proposition lies in its zero‑code integration path. Once the Deriv API key is set in an environment variable, developers can launch the MCP server locally or inside Docker. The server then registers itself with Claude Desktop through a configuration snippet, and the assistant automatically discovers the two tools. From there, an AI user can type natural language commands like “Show me all active symbols” or “What is my current balance?” and receive structured, authenticated responses. This eliminates the need for developers to build separate SDK wrappers or to expose private endpoints.

Real‑world use cases include automated trading assistants that pull market data on demand, compliance bots that check account balances before executing orders, and educational tools that let students explore live symbol lists without leaving the chat. Because the server forwards requests directly to Deriv, latency is minimal and data integrity is preserved. Moreover, by adhering to MCP’s standardized schema, the Deriv API Server can be combined with other MCP services—such as a market data feed or risk management tool—to create complex, multi‑step workflows entirely driven by conversational AI.

In summary, the Deriv API Server turns a proprietary trading platform into an accessible, AI‑friendly service. It bridges the gap between conversational agents and financial APIs, provides ready‑made tools for common trading queries, and integrates seamlessly into existing MCP ecosystems—making it a practical choice for developers who want to embed real‑time market insights into their AI assistants.