# XRP Ledger

> Use this tool when you need to access real-time XRP Ledger data or interact with its ecosystem, solving problems such as retrieving account information, transaction history, or order book data. It provides a standardized interface for querying and submitting signed transactions, accepting inputs like account IDs and transaction details, and outputting relevant data in real-time. Ideal for AI assistants requiring direct access to XRP Ledger functionality and data.

Canonical page: https://skillsregistry.net/skills/lgcarrier-xrpl  
JSON: https://api.skillsregistry.net/v1/skills/lgcarrier-xrpl

## Description

XRPL MCP Server provides AI models with direct access to XRP Ledger data and functionality through a standardized interface. It enables querying account information, trust lines, NFTs, transaction history, order book data, and submitting signed transactions to the network. Built with Python using the xrpl-py library and FastMCP framework, it connects to public XRPL nodes by default but can be configured for private node connections. This implementation is valuable for AI assistants that need to retrieve real-time blockchain data or interact with the XRP Ledger ecosystem.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** finance
- **Updated:** 2026-09-28

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/lgcarrier-xrpl)
- **Repository:** <https://github.com/lgcarrier/xrpl-mcp-server>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "lgcarrier-xrpl"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/lgcarrier-xrpl` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/lgcarrier-xrpl/pull`

---
SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt