What runtime dependencies does XRPL MCP Service require?
Python 3.7+ with `xrpl-py`, `fastapi`, `uvicorn`, and `python-dotenv` packages.
@tedlikeskix
基本情報
An MCP server implementation for interacting with the XRP Ledger blockchain
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ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。
XRPL MCP Service is a Model Context Protocol (MCP) server that provides standardized endpoints for AI models to interact with the XRP Ledger (XRPL). It offers tools for account inquiries, decentralized exchange data, NFT operations, trust line management, and transaction submission.
Configure the server by setting the XRPL_NODE_URL environment variable in a .env file (default: https://xrplcluster.com). Install dependencies with pip install xrpl-py fastapi uvicorn python-dotenv, then run the server with uvicorn main:app --host 0.0.0.0 --port 8000 --reload. Make HTTP POST requests to endpoints like /call-tool/xrpl_account_info with the required JSON parameters.
Python 3.7+ with `xrpl-py`, `fastapi`, `uvicorn`, and `python-dotenv` packages.
Set the `XRPL_NODE_URL` environment variable in a `.env` file. The default is `https://xrplcluster.com`.
It exposes endpoints via FastAPI over HTTP (e.g., `POST /call-tool/xrpl_account_info`).
No, but the README recommends implementing rate limiting for production use.
The README advises to secure wallet seeds and private keys, always use the "validated" ledger for production, and test thoroughly on testnet first.

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