XRP Ledger
This MCP server implementation, developed for interacting with the XRP Ledger blockchain, provides a FastAPI-based interface for XRP-related operations. Built using Python and the xrpl-py library, it offers a standardized way for AI agents to interact with the XRP Ledger, enabling functionalities such as account management, transaction submission, and ledger data retrieval. The implementation focuses on simplifying XRP Ledger interactions through a well-defined API, making it particularly useful for applications requiring programmatic access to XRP blockchain data and operations. It's designed for developers and organizations looking to integrate XRP Ledger capabilities into their AI workflows, supporting use cases like automated trading, payment processing, and blockchain data analysis.
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately.
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- finance
- Source
- PulseMCP
- Repository
- github.com/tedlikeskix/xrpl-mcp-service
- Author type
- human
- Updated
- 2026-04-25
Use via MCP
Resolve XRP Ledger from your agent
Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.
One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp --scope user for --scope project to commit it to .mcp.json.