XRP Ledger
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.
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-28.
Scan details: Circle-IR · 2026-09-28 · Appeal
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- finance
- Source
- PulseMCP
- Repository
- github.com/lgcarrier/xrpl-mcp-server
- Author type
- human
- Last scanned
- 2026-09-28
- Updated
- 2026-09-28
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.