mcp server
xrpldashboard
Read-only XRP Ledger MCP tools with proof-annotation envelopes and signed daily snapshots.
Description as published by the maintainer. Source
- version 1.29.0
- active
- analytics
active — Most recent push to the repository was 2026-08-06. Dashed tags are derived by ZBS Index from the published description, not stated by the maintainer.
Signals
These are separate measurements of different things. They are deliberately not combined into one score, because a popularity number that mixes website traffic with saves and stars cannot be checked or acted on.
| Signal | Value | What it measures | Window | Observed | Source |
|---|---|---|---|---|---|
| GitHub stars | 0 | Number of GitHub accounts that bookmarked this repository since it was created. It is a bookmark count, not installs, not active users and not quality. | cumulative, all time | GitHub | |
| Last commit | 2026-08-06 | Date of the most recent push to any branch. This is the strongest cheap indicator of whether the project is still maintained. | point in time | GitHub | |
| Open issues | 0 | Open issues plus open pull requests, as GitHub counts them together. A high number can mean an active project or an abandoned one. | as of fetch | GitHub | |
| Latest published version | 1.29.0 | Latest version string the maintainer published to the registry. | as of fetch | Model Context Protocol | |
| Registry record last updated | 2026-08-05 | When the registry record was last updated by its maintainer. | point in time | Model Context Protocol | |
| License | MIT | Licence GitHub detected in the repository. Detection can be wrong; the LICENSE file is authoritative. | as of fetch | GitHub | |
| First listed in the MCP Registry | 2026-08-05 | Date this server was first published to the official MCP Registry. Not a usage or quality measure. | point in time | Model Context Protocol | |
| repository status | active | The repository exists on GitHub and is not archived. This says nothing about how recently it was worked on. | as of fetch | GitHub |
Where to get it
Related, by what their authors tagged them
-
World Monitor
— last commit 2026-08-06, shares dashboard
Live global intelligence: real-time markets, conflicts, country risk, chokepoints, energy. 39 tools.
-
Kanera
— last commit 2026-08-06, shares postgresql
Manage Kanera cards, checklists, comments, notes, attachments, activity, and work reports.
-
com.dbtrail/dbtrail
— last commit 2026-08-06, shares postgresql
MySQL change tracking with instant row-level recovery and forensic attribution for compliance.
-
Flashcards Open Source App
— last commit 2026-08-06, shares postgresql
Read and write open-source flashcards through split read/write MCP tools.
-
nlqdb — analytical memory for AI agents
— last commit 2026-08-06, shares postgresql
Analytical memory for AI agents: a real Postgres queried in plain English over MCP. One command.
-
PasteHTML
— last commit 2026-08-05, shares postgresql
Publish, update, and organize HTML and Markdown pastes on PasteHTML as the authorized user.
-
io.datanika/datanika-mcp
— last commit 2026-07-23, shares postgresql
Read-only-by-default MCP for Datanika: browse data, run dbt transforms, manage ELT pipelines.
-
io.github.agenerationforwordz-tech/strata
— last commit 2026-07-25, shares postgresql
Self-hosted AI memory server. Persistent memory on your hardware, not the cloud.
-
io.github.agentic-eng/a2db
— last commit 2026-04-13, shares postgresql
Safe, read-only database access for AI agents. 5 databases, batch queries, SQLGlot.
-
SchemaBrain
— last commit 2026-08-03, shares postgresql
The trust and intelligence layer between AI agents and your database.
These share tags the maintainers applied themselves, such as dashboard, postgresql. Common tags like "mcp" or "ai" are ignored for this: agreeing with six hundred other projects is not a similarity.
This is not a recommendation and not a test result. It is a map of what the authors said their work is about.
How the author describes it
Topics the maintainer set on GitHub: blockchain-analytics, dashboard, data-transparency, flask, postgresql, public-goods, python, signed-snapshots, xrp-ledger, xrpl.
Bring your own setup
We take apart real AI setups every week and show what broke, what cost too much, and what the trace actually said. If you run agents on real work, that is where the useful conversation is.
Join ZBS AI Practice Lab