Luno MCP Server

Overview

The MCP Luno server is a modern, fully‑featured Model Context Protocol endpoint that exposes the entire public and private API surface of the Luno cryptocurrency exchange to AI assistants. By leveraging FastMCP 2.0 and Python 3.12, it provides a low‑latency, async interface that can be integrated directly into Claude Desktop or any other MCP‑compatible client. The server solves the problem of bridging AI workflows with real‑time market data and trading operations without requiring developers to write custom API wrappers or handle authentication logic themselves.

At its core, the server offers a rich set of tools grouped into three categories: public data retrieval (e.g., , ), historical analytics (e.g., , ), and full trading control (e.g., , , ). Each tool is exposed as a JSON‑RPC 2.0 method over STDIO, allowing the assistant to invoke complex operations with a single prompt. The historical tools support multiple timeframes and aggregate metrics, giving developers ready‑made statistical analysis for trend spotting or risk assessment. The private tools are protected by API credentials, ensuring secure access to account balances and order management.

Developers benefit from the server’s modular architecture: tools are organized in a dedicated package, making it straightforward to extend or replace functionality. The use of async HTTP requests via guarantees that the assistant can handle multiple concurrent queries without blocking, while robust error handling keeps the conversation flow smooth even when external services fail. The configuration system reads environment variables, enabling secure deployment in CI/CD pipelines or containerized environments.

Typical use cases include building a conversational trading bot that can fetch live prices, analyze historical ranges, and place orders based on user intent; creating a portfolio monitoring assistant that pulls balance and transaction history to generate weekly reports; or integrating Luno data into a larger financial analytics platform that requires real‑time market feeds. Because the MCP interface is language‑agnostic, any AI tool that supports MCP can tap into Luno’s capabilities instantly, eliminating the need for bespoke SDKs or API keys management in the client layer.

Unique advantages of MCP Luno are its tight coupling with FastMCP’s performance optimisations, the comprehensive coverage of both public and private endpoints, and its out‑of‑the‑box support for historical candlestick data across a wide range of timeframes. This combination empowers developers to deliver sophisticated, data‑driven AI experiences that interact with live cryptocurrency markets in a secure, scalable manner.