What runtime dependencies does XRPL MCP Service require?
Python 3.7+ with `xrpl-py`, `fastapi`, `uvicorn`, and `python-dotenv` packages.
@tedlikeskix
Basic information
An MCP server implementation for interacting with the XRP Ledger blockchain
No standard config provided
This server doesn't expose a parseable MCP config block in its README. See the repository for install instructions.
RepositoryTool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
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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