Agent-Native Calendar
Agent-Native Google Calendar - manage events, sync, and public booking
Beschreibung vom Entwickler (englisches Original)
Read tables, figures and dates out of a PDF, Word file, CSV or paste, with a verdict on the reading.
Diese drei werden nie zu einer Punktzahl zusammengefasst: Meinungen, Messungen und Beliebtheit sind verschiedene Dinge.
Für diesen Server haben wir noch keine Zusammenfassung in einfacher Sprache geschrieben. Unten stehen die Fakten, die wir aus der Registry gelesen haben.
Wähle die KI-App, die du nutzt, und kopiere die Einstellungen.
TRUECOPY_MCP_ROOTDu brauchst
Welche App nutzt du?
Wähle oben deine App. Wir merken sie uns, damit der Button beim nächsten Mal „In … installieren“ anzeigt.
Öffne Claude Desktop → Settings → Developer → Edit Config und füge dies in claude_desktop_config.json ein
{
"mcpServers": {
"truecopy": {
"command": "npx",
"args": [
"-y",
"truecopy",
"mcp"
],
"env": {
"TRUECOPY_MCP_ROOT": "your-value"
}
}
}
}Führe das in deinem Terminal aus
claude mcp add truecopy --env TRUECOPY_MCP_ROOT=your-value -- npx -y truecopy mcpTrag die leeren Werte ein, bevor du ihn startest.
In .cursor/mcp.json in deinem Projekt oder in ~/.cursor/mcp.json einfügen
{
"mcpServers": {
"truecopy": {
"command": "npx",
"args": [
"-y",
"truecopy",
"mcp"
],
"env": {
"TRUECOPY_MCP_ROOT": "your-value"
}
}
}
}Dein Browser fragt, ob er die App öffnen darf, dann zeigt die App die Einstellungen und bittet dich um Bestätigung. Schlüsselwerte bleiben leer, damit du sie selbst einträgst.
In .vscode/mcp.json in deinem Projekt einfügen
{
"servers": {
"truecopy": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"truecopy",
"mcp"
],
"env": {
"TRUECOPY_MCP_ROOT": "your-value"
}
}
}
}Dein Browser fragt, ob er die App öffnen darf, dann zeigt die App die Einstellungen und bittet dich um Bestätigung. Schlüsselwerte bleiben leer, damit du sie selbst einträgst.
Dieser Server läuft auf deinem Computer, und ChatGPT kann sich nur mit Servern im Internet verbinden. Wähle eine andere App.
Deine Auswahl bleibt in einem Cookie auf diesem Gerät; kein Konto nötig.
TRUECOPY_MCP_ROOT envDiese Einstellungen werden aus dem Registry-Eintrag des Entwicklers erzeugt. Wenn in der README etwas anderes steht, folge der README.
Läuft auf deinem Computer; die Tool-Liste erscheint nach der Installation in deiner KI-App.
Wir prüfen Informationen, die jeder sehen kann; den Code haben wir nicht gelesen. Checks, die nicht zutreffen, werden nicht mitgezählt. · Geprüft am 6. Nov. 2026
Der Registry-Name wurde mit dem GitHub-Konto truecopydev bestätigt, dem das Repo gehört
Dieses Repo haben wir noch nicht von GitHub gelesen
Dieses Repo haben wir noch nicht von GitHub gelesen
Dieser Server läuft auf deinem Computer; es gibt keinen Endpunkt im Internet
Läuft auf deinem Computer und nutzt stattdessen lokale Einstellungen
Läuft auf deinem Computer; Tool-Listen können wir nur von Endpunkten im Internet lesen
Verglichen mit allen aktiven Servern dieser Kategorie in der Registry. Sterne zählen nur, wenn dem Herausgeber das Repo gehört.
Er hat 1 von 1 zutreffenden Basischecks bestanden. Den Code haben wir nicht gelesen. Bevor du einen Schlüssel oder Token hinzufügst, sieh nach, welche Zugriffe der Server verlangt, und nutze einen Schlüssel, der nur die Berechtigungen hat, die du brauchst.
Die Registry nennt keinen erforderlichen Schlüssel, manche Server bitten dich aber bei der ersten Nutzung, dich anzumelden.
Er läuft auf deinem Computer. Deine KI-App startet ihn bei Bedarf, und die Daten laufen nicht über die Server des Entwicklers (außer der Server ruft selbst einen Onlinedienst auf).
Das GitHub-Repo wurde zuletzt – geändert, und die neueste Version (2.0.22) kam gestern in die Registry.
Apps, die MCP unterstützen, etwa Claude Desktop, Claude Code, Cursor und VS Code. Außerdem brauchst du Node.js auf deinem Computer.
In derselben Kategorie: Agent-Native Calendar, Excel MCP Server, MCP Server for Excel
Server derselben Kategorie von anderen Entwicklern, sortiert nach Sternen.
So liest du eine Karte:★ GitHub-SterneiDrei Säulen: Bewertungen · Checks · NutzungiAktualisiert = neueste Version in der Registry veröffentlichti
Agent-Native Google Calendar - manage events, sync, and public booking
Create and edit Excel files with AI: charts, PivotTables, formulas. No Excel needed.
Excel automation for AI - Sheets, Power Query, DAX, VBA, Tables, Ranges and more. Windows only.
Unverändert aus dem Repo des Entwicklers übernommen. PopNx MCP hat den Inhalt weder geprüft noch empfiehlt es ihn. HTML, Bilder und Skripte wurden entfernt. Links führen von dieser Website weg.
Extract tables from a PDF in TypeScript, and know when the extraction is wrong.
Turn a document into rows, and refuse the readings you cannot trust. A PDF, a Word or OpenDocument file, a paste, a CSV, an OCR page: one engine reads all of them.
A parser that returns a plausible-looking table from a document it misread is worse than one that returns nothing, because nobody checks a table that looks right. truecopy is the pipeline around whichever reader you write: the door bytes come through, the checks that catch a wrong reading, a way to see what it decided, and a conformance kit that goes red the day the reading stops being honest.
npx -y -p truecopy -p pdfjs-dist truecopy a-statement.pdf
No install, no project, no line of code. The engine is named on the line because it is an optional peer dependency and npm does not fetch one on its own: a project that only ever reads a paste or a CSV never downloads a PDF reader, and for those npx truecopy the-file.csv is the whole command. Left out on a PDF it says no-engine rather than guessing. It prints the cut it made, what each column holds, how often it is filled, and then, on its own, what it could not vouch for.
page 1 - cut at 68, 229, 356, 411, 490
what this reading cannot vouch for:
npm install truecopy
import { readTable } from 'truecopy';
const { rows, warnings, findings } = await readTable(file); // rows [['02/05/2026', 'CARTE AMAZON', '12,40'], …] // warnings ['column 3 of page 2 is filled on only 8% of its rows - the cut may have invented it'] // findings [{ code: 'thin-column', page: 2, column: 3, shareFilled: 0.08, message: '…' }]
No kindOf, no thresholds, no roles. If you only want the cells, destructure rows and go.
file is whatever was dropped. The cut does not care which ruler measured the page, so the same two lines read a PDF, a table pasted out of one, a CSV and a TSV:
| What was dropped | Where a column starts |
|---|---|
| a PDF | the item's x, in points |
| a table pasted with spaces | the character the field starts at |
| a file written with a delimiter | the field's index: a CSV lines nothing up |
| prose, or a file that quotes its fields | nowhere: the row comes back whole, and warnings says so |
That last line is the rule and not the exception. A quoted CSV field may hold the delimiter itself, so splitting on it anyway would shift every column after it. truecopy hands the rows back uncut instead, because half-parsing is the failure this library exists to prevent.
explainDocument names the ruler, so a cut is never a bare list of numbers: cut at 100, 290 on a page, cut at characters 7, 22 on a paste, cut on the delimiter on a CSV, where the columns _are_ the fields and their indices would tell you nothing.
The second field is why this is not just another extractor. An empty `warnings` is not a promise that the reading is right: it means nothing looked wrong from the shape of the page, which is a much smaller claim. Every warning is computed without knowing anything about your document: a page with no columns at all, a column that is almost always empty, pages cut differently from one another, a blank page in the middle.
findings is that same list with a code on it, plus the page and the column it is about. A person reads the sentence; a program branches on the code, and never on English that could be reworded tomorrow.
When the rows have to be trusted (when something downstream acts on them), the rest of this page is how.
A complete reader that runs, in one file and one command:
node example/read-a-statement.mjs
example/read-a-statement.mjs builds a real PDF, opens it, prints what the reading decided, and drives it through the contract. Nothing in it is stubbed, and it needs no document from you: it makes its own.
The first thing you need when a reading comes out wrong is not a better parser. It is knowing which of the three things broke: the document is odd, the cut into columns is wrong, or your rule is wrong. Each calls for a different fix.
import { openDocument, explainDocument } from 'truecopy';
const document = await openDocument(file);
console.log( explainDocument(document, { signature: { kindOf: (cell) => (isDate(cell) ? 'date' : isAmount(cell) ? 'amount' : 'text'), thresholds: { date: { share: 0.6, emptyIsAnomalyAbove: 0.7 }, amount: { share: 0.6 }, text: { share: 0.6 } } }, roles: [ { role: 'when', kind: 'date', minimum: 0.6, take: 'best' }, { role: 'money', kind: 'amount', minimum: 0.6, take: 'each' } ] }) );
truecopy - statement-2026-05.pdf pdf, 1 page(s), 6 row(s)
page 1 - cut at 100, 290
3 column(s), 6 row(s)
col kind filled role 0 date 83% when 1 text 100% - 2 amount 100% money
1 02/05/2026 | CARTE 28/04 AMAZON EU> | 12,40 2 03/05/2026 | VIR SEPA LOYER MAI | 750,00 3 05/05/2026 | CARTE 03/05 SNCF CONN> | 68,00 4 09/05/2026 | PRLV EDF | 91,32 5 12/05/2026 | CARTE 11/05 LE BOULAN> | 7,90 6 ! | TOTAL DES DEBITS | 929,62 <- column 0 (date) is empty
Text, not an image: it goes into a terminal, a CI log, a bug report, a test's expected value. It needs no canvas and no headless browser.
The usual way to read a table is to tune settings until one issuer's layout comes out right. It works, and it stops working at the second issuer: every new bank, every new format, every redesign is another block of settings that only its author understands.
truecopy learns the table from the table. A column full of dates is the date column, whatever its header says; a row that breaks what every other row does is a total, a balance, a footer.
import { findRowAnomalies } from 'truecopy/signature';
// Which rows fall outside the signature the table itself sets. const anomalies = findRowAnomalies(rows, signature);
It reads no label, so it survives an issuer you have never seen. A list of forbidden words only recognises yesterday's documents.
What reads no label is the judgement: which rows belong to the table, which column holds what. The cut is a different problem, and it is the one that still needs help.
Measured on a real bank statement whose header labels were deliberately hidden: the page-wide spread of x proposed twelve columns where the table had five, because it counts the letterhead, the address block and the footer as evidence of where a column starts. Cut on the rows that share the table's shape instead (the ones carrying a date and an amount), it proposed five, and three of the five roles were named from content alone.
`boundariesFromRecurrence` is the general answer, and readTable uses it: keep only the x that come back row after row, because a real column's left edge recurs and a word inside a description does not. On the statement above it took the cut from twelve columns to seven, and named the rest as thin. Where the page gives you something better to trust (a header row, a rule), boundariesFromAnchors takes it.
And whatever you do, keep the self-check. On that same statement the reading still came back wrong, and the only reason that was visible is that the sum of the rows did not match the balances the document itself declares.
That is the honest shape of this library. It does not promise to read an unknown layout correctly. It promises to tell you when it did not.
A value you cannot point at is a value nobody can check. Handed a list of figures, a person has to hunt through the document again; handed a place, they jump to it, and that difference is what makes a correction screen used or abandoned.
import { cellsOf, placesOf } from 'truecopy/layout';
const cells = cellsOf(page); // cells3 is what the fourth row holds const places = placesOf(page); // places3 is where to find it // { page: 1, x: 430, y: 700, width: 30 }
The two are laid out identically, so they are read together. A cell nothing fell into has no place: null, not a rectangle of nothing. ReviewableRow.where carries the same thing for the rows a person is asked to confirm.
No height, because none is known: a text item carries no height here, and inventing a line spacing would draw a rectangle the document never had.
That 1 234,50 and 1,234.50 are the same quantity, that (123,45) is negative and so is 123,45-, that 25/01 is a day before a month here and after it there: none of that says anything about banks or invoices. It says how the page was typeset, and it is the part everybody rewrites and everybody gets wrong once.
import { readNumber, findNumbers, readLeadingDate } from 'truecopy/notation';
readNumber('27800.50'); // 27800.5 - not 2 780 050 readNumber('(123,45)'); // -123.45 - the accounting negative readNumber("1'234.56"); // 1234.56
// Never starts a match inside another number: a date glued to a figure // reads as one figure, not as "026 300,00". findNumbers('30/05/2026 300,00', 2); // [{ value: 300, ... }]
readLeadingDate('25 janv. 2026 GROCERIES', { dateOrder: 'DMY', months }); // { date, length: 13 } - so the caller strips it and keeps the wording
It says null rather than guess. On figures somebody will act upon, a refusal costs a correction and a wrong reading costs a decision.
None of this needs a PDF. truecopy/notation takes strings, so an API field, an HTML scrape or a pasted email gets the same reading as a page, and pdfjs-dist is never loaded. It is the layer worth reaching for before writing a pattern of your own - because the pattern everybody writes instead has a defect nobody sees:
import { accentFree } from 'truecopy/notation';
// \w is [A-Za-z0-9_] in JavaScript, whatever the document is written in. /d[ée]tach\w+/.test('détaché'); // false - the suffix is an accented letter /d[ée]tach\p{L}*/u.test('détaché'); // true accentFree('Détaché'); // 'detache' - or fold first and compare plainly
Nothing fails there: the pattern compiles, runs, and returns a plausible fraction of the matches, which then reads as a fact about the documents rather than a defect in the rule.
try {
await openDocument(file); } catch (error) { if (error instanceof UnreadableDocument) { // 'empty' | 'too-big' | 'no-text' | 'too-slow' | 'no-engine' | 'not-opened' showInYourOwnWords(error.reason); } }
The reason is named so the sentence is not. A library that ships only English prose forces an application that speaks anything else to keep its own copy of the door.
no-engine and not-opened are kept apart on purpose, and the difference is not cosmetic: one says _install pdfjs-dist_, the other says _this file will not open, look for its password_. Told the wrong one, a person hunts for a lock that does not exist and an agent wr
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