xrpl-mcp

by tedlikeskix

265 downloads
Not rated
GitHub

About

An XRP Ledger Model Context Protocol (MCP) server enables secure, controlled interactions between Large Language Models (LLMs) and the XRP Ledger, facilitating tasks such as transaction submissions and ledger queries.

Details

Author
tedlikeskix
Downloads
265
Categories
Other

- Query XRP account info (balances, sequence, ledger index).
- Integrates with MCP-compatible AI tools.
- Built on the XRP Ledger protocol.
- Python-based, easy to set up and extend.

Setting up with Highlight

This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:

  1. Download and install Highlight from highlightai.com/download
  2. Navigate to the plugins tab and select "Add Custom Plugin"
  3. Configure the plugin with the settings below
    Plugin Name xrpl-mcp
    Command (node, npx, python, etc.)

    Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.

  4. Enable "Start Automatically" if you want the plugin to start when Highlight launches

From the repository

Clone the repository, install dependencies using pip install -r requirements.txt or a PEP 621 tool, then run the MCP server with python -m mcp_server_xrpl.

Claude Desktop / Cursor

Paste into your MCP client config file to install this server.

{
    "mcpServers": {
        "xrpl-mcp": {
            "xrpl-mcp": {
                "command": "python",
                "args": [
                    "-m",
                    "mcp_server_xrpl.server"
                ]
            }
        }
    }
}

McpServers

{
    "xrpl-mcp": {
        "command": "python",
        "args": [
            "-m",
            "mcp_server_xrpl.server"
        ]
    }
}

xrpl-mcp

A Python-based MCP server for interacting with the XRP Ledger.

Features

- Query XRP account info (e.g., balances, sequence, ledger index). - Integrates with MCP-compatible AI tools.

Quick Start

1. Clone the repository. 2. Install dependencies using pip install -r requirements.txt or a PEP 621 tool. 3. Run the MCP server: ```bash python -m mcp_server_xrpl.server
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