io.github.pablo-ramossanchezPublished by GitHub account pablo-ramossanchezv0.8.1Updated Nov 3, 2026
Audit a data file before publishing: one light per figure. Your data never reaches the server.
The publisher's own server: audit.domains - Domain Valuation
Arquestra Audit's hosted MCP server (arquestra.dev); no sign-in required; Streamable HTTP; 5 tools.
No AI overview yet: these facts come from the registry entry and the server itself.
Web executable via Streamable HTTP. Remote servers run from the web runtime once configured in a workspace.
Paste this prompt into Claude Code, Codex, Cursor or another agent — or into SourceWeft chat. The agent reads this server's install guide, shows you its publisher, endpoint and sign-in, and adds it to your client once you agree. Keys never go into a command.
Read https://sourceweft.com/mcp/io.github.pablo-ramossanchez%2Farquestra-audit/install.md and connect the MCP server it describes to my client. Before changing any config, show me its publisher, endpoint and sign-in method and wait for my OK. Never put an API key in a command or in a file I would commit; ask me where it should come from.Add this to your client's mcpServers config.
{
"mcpServers": {
"arquestra-audit": {
"type": "http",
"url": "https://arquestra.dev/api/mcp/audit"
}
}
}Check your own data before you publish a result from it. Arquestra Audit is a remote MCP server by Arquestra that walks your AI assistant through an audit of a data file: it agrees with you how to read each column, measures the file where it is (in the chat's audit panel or with a small script on your computer), and shows one light per figure, red, amber or green, with the reasons.
Your data never reaches the server and nothing is stored. The measuring runs in your browser or on your computer; only counts come back.
https://arquestra.dev/api/mcp/audit (Streamable HTTP, no sign-in)Claude (claude.ai, desktop, mobile): open Claude's connectors, search Arquestra Audit and press Connect. Not in the list yet? Add it directly.
Claude Code:
or install this repository as a plugin (Manage plugins → Install by GitHub URL → https://github.com/pablo-ramossanchez/arquestra-audit-mcp).
VS Code: install
Cursor: install
ChatGPT: settings → connectors (developer mode) → add https://arquestra.dev/api/mcp/audit.
Any other MCP client: add a remote server with the URL above.
Arquestra builds open, checkable data assets on public procurement and AI governance: the Consulting Market Radar (public consulting tenders in Europe and who wins them), the AI Procurement Observatory, research papers, and this audit.
Earlier versions of this repository held a plugin for a scientific-computing product; that product is now listed as Arquestra Chem on arquestra.dev.
Source: README.md at commit dcde607
Start an audit of the person's data
Proposes 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 each column, each result written as a claim), how claims are written, the catalog of checks and the points the person has to confirm. It receives no rows.
columnsrequiredfiguresdataset_nameMeasure the person's file inside the audit panel
Opens 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 values of categories with their counts, the range of numbers and dates, and the first rows. With a confirmed spec, the panel measures that same file in the browser with measure.py and shows one light per result. The file is not sent to this server.
speccolumnsGet the script that measures the data
Returns 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 its own fingerprint and no rows. Reads .csv or .json. If the spec has errors, returns the errors instead.
specrequiredcolumnsShow the lights of the person's audit
Turns 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 lights in the chat and returns them, with a link to the same view on arquestra.dev that carries only codes. Stores nothing.
specrequiredoutputrequiredWhat the audit is, with worked examples
Published 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 light). With a name and an id: one result with every reason and what to change. They are not the person's data.
idlangnamelevel90% of the applicable checks met
How complete this listing is, computed from the registry entry, the endpoint and public sources. Not a rating of the server and not a statement that it is safe or working today: reachability is a dated check, and no installs or reviews go into the score.
Declare a license in the repository or the registry entry.
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claude mcp add --transport http arquestra-audit https://arquestra.dev/api/mcp/audit