About
The XRPL MCP Service exposes a suite of RPC tools that let AI models query and interact with the XRP Ledger, including account info, market data, NFTs, trust lines, payments, and AMM details.
Capabilities
Overview
The XRPL MCP Service is a dedicated Model Context Protocol server that exposes the full breadth of XRP Ledger functionality to AI assistants. By translating ledger queries and transaction operations into standardized MCP tools, it removes the friction of direct API calls for developers building conversational agents that need real‑time blockchain data or transaction capabilities. The server acts as a bridge between an AI model’s natural language intent and the XRPL’s JSON‑RPC interface, allowing a single tool invocation to fetch balances, submit payments, or inspect market conditions without the model needing to understand protocol details.
At its core, the service offers a rich set of account‑centric tools: , , and provide account metadata, token holdings, and transaction history in a human‑readable format. Trust line management (, ) and payment path finding () enable the assistant to help users set up cross‑currency relationships and discover optimal payment routes. The ability to submit signed transactions () gives developers a secure channel for executing transfers or offers directly from the assistant’s context.
Beyond individual accounts, the server exposes decentralized exchange insights. Tools such as , , and allow an AI to report on liquidity pools, current bid‑ask spreads, and automated market maker metrics. This is especially valuable for financial bots that need to monitor price movements or trigger trades based on market conditions. NFT operations (, ) give access to non‑fungible asset listings and ownership data, opening the door for creative applications like digital art marketplaces or collectible management assistants.
Real‑world use cases abound. A fintech chatbot can guide users through setting up trust lines for fiat‑backed tokens, while a portfolio tracker can pull live balances and transaction histories to update dashboards. A trading assistant could monitor AMM pools, detect price slippage, and even submit offers when thresholds are met—all through simple tool calls. Because the MCP server standardizes inputs and outputs, integrating these capabilities into existing AI workflows requires minimal boilerplate; developers can focus on conversational logic rather than ledger plumbing.
Unique advantages of the XRPL MCP Service include its async implementation for low‑latency responses, comprehensive error handling that translates ledger errors into friendly messages, and a clear separation of concerns between tool registration () and core XRPL logic (). Future enhancements—such as liquidity pool creation, advanced trading commands, and NFT minting—promise to extend the assistant’s capabilities further. By providing a single, well‑documented entry point to the XRP Ledger, this MCP server empowers developers to build intelligent, blockchain‑aware applications with confidence and speed.
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