Arquestra Audit
by FastDrop
Audit a data file before publishing: one light per figure. Your data never reaches the server.
Audit a data file before publishing: one light per figure. Your data never reaches the server. Official MCP Registry: io.github.pablo-ramossanchez/arquestra-audit@0.8.1. Remote endpoint: https://arquestra.dev/api/mcp/audit
Problem it solves
Discoverable MCP server listed in the official MCP Registry.
How it's different
Remote MCP endpoint ingested from the official registry and probed by FastDrop.
Ingested from the official MCP Registry
FastDrop pulled this entry from the official MCP Registry as io.github.pablo-ramossanchez/arquestra-audit and probed the endpoint. The maker did not submit it, so the outbound link is not endorsed
and the description is not theirs.
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Read directly from the endpoint on 3 Nov 2026. Not supplied by the maker.
start_auditProposes how to read a data file for an audit, from its column names (optionally a type and one example value each) and the results the person wants to publish. Returns a proposed spec (the role of ea
measure_in_appOpens the audit panel in the chat. Without a spec, the panel receives the person's file, reads it in their browser and returns a profile of it: per column its kind, empty cells, distinct values, the v
prepare_scriptReturns measure.py with a confirmed spec written in: a fixed Python script (standard library, no network, fixed seeds) that counts what each check needs from a data file and prints those counts with i
show_auditTurns the output of measure.py into one light per result (red, amber or green, with its reasons), after checking that the output comes from the unchanged script and from the given spec. Shows the ligh
example_auditsPublished example audits, such as the AI Project Radar, and how the audit works. With no arguments: the overview and the list of examples. With a name: one example, result by result (level filters by
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