XRPL MCP Server

XRPL MCP Server Overview

The XRPL MCP Server solves a common pain point for developers building AI‑powered financial applications: how to give large language models instant, reliable access to live data and transaction capabilities on the XRP Ledger. By exposing a Model Context Protocol interface, it lets assistants such as Claude or GPT query account balances, trust lines, NFTs, order books, and transaction histories without the assistant needing to embed custom ledger logic. This separation of concerns enables rapid prototyping and safer deployment, as the server handles all network communication, authentication, and data formatting.

At its core, the server acts as a lightweight proxy between an LLM and an XRP node. It accepts MCP tool calls that specify simple, declarative parameters—such as an account address or a currency pair—and returns JSON‑encoded results. The server then translates these calls into the corresponding XRPL RPC requests, aggregates responses, and streams them back to the assistant. This approach gives developers a clean, standardized API surface while preserving the flexibility of the underlying ledger.

Key capabilities include:

• Account introspection: fetch balance, sequence number, and trust lines with optional filtering by counterparty or limit.
• Asset discovery: list NFTs owned by an address, enabling NFT marketplaces and portfolio trackers to be built on top of AI assistants.
• DEX integration: retrieve order book offers for any currency pair, allowing conversational trading bots to present real‑time market data.
• Transaction management: submit signed transaction blobs and query status, giving developers a fully functional trading workflow that can be orchestrated by natural language commands.
• Server health checks: expose node status and connection metrics, helping maintain uptime in production deployments.

Real‑world use cases span from AI‑guided crypto advisors that can pull a user’s account snapshot and suggest portfolio rebalancing, to interactive NFT marketplaces where a conversational agent lists an owner’s collectibles and initiates sales. In a trading bot scenario, the assistant can ask for current order book depth, place orders by submitting signed transactions, and confirm execution—all through natural language prompts. Because the MCP server encapsulates ledger interactions behind a standard protocol, developers can integrate it into any AI workflow that supports MCP, reducing boilerplate and accelerating time to market.