Luno MCP Server

Overview

The Luno MCP Server bridges the gap between AI assistants and the Luno cryptocurrency exchange, enabling developers to embed real‑time market data, account information, and trade execution directly into conversational or IDE workflows. By exposing Luno’s RESTful API through the Model Context Protocol, Claude, VS Code, Cursor, and other MCP‑compatible clients can retrieve balances, historical trades, and live price feeds without leaving the editor or chat interface. This tight integration turns a static code environment into an interactive trading platform, allowing developers to prototype, test, and debug crypto‑related logic in situ.

At its core, the server offers resource endpoints for account balances and transaction histories, giving assistants context about a user’s holdings. Complementing these are tool endpoints that perform state‑changing operations such as placing market or limit orders, canceling pending orders, and querying order status. Each tool is wrapped with clear authentication requirements—Luno API keys are passed securely as environment variables, ensuring that sensitive credentials never leave the local machine. The server’s design prioritizes security and minimal exposure, making it suitable for production use in private or corporate settings.

Key capabilities include:

• Real‑time price lookup: Fetch current ticker data for any supported pair, enabling dynamic dashboards or auto‑generated market reports.
• Order management: Create, modify, and cancel orders through a simple tool call, allowing AI assistants to automate trading strategies or respond to market events.
• Historical analytics: Retrieve transaction history and balance snapshots, which can be fed into data‑science pipelines or used for compliance reporting.
• VS Code integration: A dedicated VS Code command lets users install the server via Docker, automatically prompting for API credentials and wiring the MCP client into the editor’s extension host.

Typical use cases span from building a trading bot prototype that reacts to chat commands, to generating financial reports directly within a markdown document. A data‑scientist could ask the assistant to pull the last month’s trade history and plot a candlestick chart, while an operations engineer might use it to audit pending orders before a market close. Because the server communicates over standard MCP transports ( or ), it fits neatly into existing AI‑assistant pipelines without requiring custom adapters.

What sets the Luno MCP Server apart is its developer‑first approach: it ships with comprehensive diagnostics (SonarCloud badges, GoDoc links), a lightweight Docker image for quick onboarding, and an explicit beta warning that invites community feedback. The result is a robust, secure, and extensible bridge that turns cryptocurrency data into actionable context for AI‑powered development environments.