Agent-Native Calendar
Agent-Native Google Calendar - manage events, sync, and public booking
Descripción del creador (original en inglés)
Open, inspect, filter, edit and convert xlsx and csv files from your AI chat. Processing is local.
Estos tres nunca se combinan en una sola puntuación: las opiniones, las mediciones y la popularidad son cosas distintas.
Todavía no escribimos un resumen sencillo para este. Abajo están los datos que leímos del registro.
Elige la app de IA que usas y copia la configuración.
MCP_LICENSE_KEY, AuthorizationLos valores marcados como secretos son llaves de tu cuenta. Nunca los compartas ni los pegues en un chat.
Necesitas
¿Qué app usas?
Elige tu app arriba. La recordamos, así que la próxima vez el botón dirá “Instalar en …”.
Esta dirección necesita una clave en un header de la solicitud, y el menú para agregar conectores no puede ponerla. Usa Claude Code, Cursor o VS Code.
Descargar el archivo .mcpb del creador
El enlace lleva al archivo del propio creador; no lo alojamos ni lo reempaquetamos. Abre el archivo y Claude Desktop lo instalará.
Ejecuta esto en tu terminal
claude mcp add --transport http spreadsheet-builder https://mcp.zovo.one/mcp/spreadsheet-builder --header 'Authorization: your-value'Completa los valores vacíos antes de ejecutarlo.
Pégalo en .cursor/mcp.json de tu proyecto, o en ~/.cursor/mcp.json
{
"mcpServers": {
"spreadsheet-builder": {
"url": "https://mcp.zovo.one/mcp/spreadsheet-builder",
"headers": {
"Authorization": "your-value"
}
}
}
}Tu navegador te pide permiso para abrir la app; luego la app muestra la configuración y te pide confirmar. Los valores de las claves quedan vacíos para que los completes tú.
Pégalo en .vscode/mcp.json de tu proyecto
{
"servers": {
"spreadsheet-builder": {
"type": "http",
"url": "https://mcp.zovo.one/mcp/spreadsheet-builder",
"headers": {
"Authorization": "your-value"
}
}
}
}Tu navegador te pide permiso para abrir la app; luego la app muestra la configuración y te pide confirmar. Los valores de las claves quedan vacíos para que los completes tú.
Esta dirección necesita una clave en un header de la solicitud, y el menú para agregar conectores no puede ponerla. Usa Claude Code, Cursor o VS Code.
Tu elección se guarda en una cookie en este dispositivo; no necesitas cuenta.
Authorization secreto obligatorio HTTP headerEsta configuración se genera a partir de la ficha del creador en el registro. Si el README dice otra cosa, sigue el README.
Todavía no hemos leído la lista de herramientas de este servidor; revisamos los endpoints por turnos.
Revisamos información que cualquiera puede ver; no hemos leído el código. Las revisiones que no aplican no se cuentan. · Revisado el 6 nov 2026
El nombre en el registro se verificó con la cuenta de GitHub theluckystrike, dueña del repo
Todavía no hemos leído este repo en GitHub
Todavía no hemos leído este repo en GitHub
Aún sin revisar; revisamos los endpoints por turnos
Aún sin revisar; revisamos los endpoints por turnos
Aún sin revisar; leemos la lista de herramientas cuando revisamos el endpoint
Comparado con todos los servidores activos de esta categoría en el registro. Las estrellas solo cuentan cuando quien lo publica es dueño del repo.
Superó 1 de 1 revisiones básicas aplicables. No hemos leído el código. Antes de agregar una clave o un token, revisa qué acceso pide el servidor y usa una clave que tenga solo los permisos que necesitas.
Debes completar: MCP_LICENSE_KEY, Authorization
Funciona de las dos formas: instálalo en tu computadora o conéctate a la versión en la nube.
El repo de GitHub cambió por última vez –, y la última versión (0.21.1) llegó al registro hace 44 días.
Las apps compatibles con MCP, como Claude Desktop, Claude Code, Cursor y VS Code. Se conecta por URL, así que también funcionan las apps que aceptan servidores MCP remotos, como ChatGPT en modo desarrollador.
En la misma categoría: Agent-Native Calendar, Excel MCP Server, MCP Server for Excel
Servidores de la misma categoría hechos por otros creadores, ordenados por estrellas.
Cómo leer una tarjeta:★ Estrellas de GitHubiTres pilares: reseñas · revisiones · usoiActualizado = fecha en que se publicó la última versión en el registroi
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.
Copiado tal cual del repo del creador. PopNx MCP no lo ha revisado ni lo respalda. Se quitaron HTML, imágenes y scripts. Los enlaces llevan fuera de este sitio.
Featured on [Awesome MCP Servers](https://mcpservers.org) - directory listing | live hosted endpoint, free tier, no signup.
Hand your AI assistant a spreadsheet and talk to it. Point it at any .xlsx, .xlsm, .xlsb, .xls, .ods, .csv or .tsv file on your machine and ask what is in it, filter it, compute a new column, or save it in another format. It handles the messy parts of real files for you: it guesses which row holds the headers, sniffs whether a CSV is separated by commas, semicolons or tabs, keeps quoted commas and newlines intact, reads numbers out of $1,250.00 style text, and reports per-column types and empty counts. It never edits your original file: every write goes to a new path unless you explicitly choose overwrite. Nothing leaves the machine, and there is no API key to get.
In the [official MCP Registry](https://registry.modelcontextprotocol.io/v0.1/servers/io.github.theluckystrike%2Fexcel-spreadsheet-xlsx-csv/versions/latest) (io.github.theluckystrike/excel-spreadsheet-xlsx-csv).
Listed on the [AI Product Index](https://index.percall.dev/l/zovo-spreadsheet.html) - live remote endpoint at mcp.zovo.one/s/spreadsheet, free tier, no signup.
Read, query and extend real spreadsheets from chat without ever touching the original file.
Use spreadsheet.mcpb v0.22.9 in Claude Desktop. Published checksums and the versioned download catalog identify the exact release. The npm package is not published.
For a source installation, use Node.js 22 or newer and build the shared dependency first:
git clone https://github.com/theluckystrike/mcp-servers.git
cd mcp-servers npm ci node scripts/bootstrap-timezone.mjs npm run build -w packages/mcp-license -w servers/spreadsheet
Merge this entry into Claude Desktop's mcpServers, or into .cursor/mcp.json for Cursor. Replace the absolute path with your checkout:
{
"mcpServers": { "spreadsheet": { "command": "node", "args": ["/absolute/path/mcp-servers/servers/spreadsheet/dist/index.js"] } } }
For Claude Code:
claude mcp add spreadsheet -- node /absolute/path/mcp-servers/servers/spreadsheet/dist/index.js
To run in Pro mode set MCP_LICENSE_KEY in the same config block, or call license_activate once with your key.
Version 0.22.9 uses the vendor's patched SheetJS 0.20.3. Numeric date cells now follow the time actually stored in the workbook. Some numeric-date files produced by older versions can display 30 seconds differently in historical-offset timezones such as Ho Chi Minh. No guessed offset is added to your data. Reading does not rewrite the source file.
| Tool | What it does |
|---|---|
sheet_info | Sheet names, size, guessed header row, per-column type, sample values, empty counts |
sheet_read | Read rows as a text table, JSON records or CSV; limit/offset paging or an A1 range |
sheet_query | Filter with where, group_by + aggregate (sum, count, avg, min, max), pick columns with select, sort (aggregate aliases too), limit |
sheet_stats | count, empty, distinct, min, max, sum, mean, median per column (top values for text columns) |
sheet_find | Find text anywhere in the workbook; returns cell addresses and a row preview |
sheet_write | Write rows (objects or arrays) as a new file, an append, or an explicit overwrite |
sheet_add_column | Add a computed column from a formula, saved to a new file. Numeric results are rounded like their inputs (2 decimals in, 2 decimals out); decimals overrides |
sheet_convert | Convert a sheet to csv, xlsx or json |
license_status | Free or Pro, and where to upgrade |
license_activate | Activate a Pro key (verified offline) |
Resource template: sheet:// returns the sheet_info summary for that file. Resource: sheet://recent lists the files this server has opened since it started, most recent first (in memory only, nothing is written to disk, so the list is empty again after a restart).
Prompt: explore_sheet walks an unfamiliar file, sheet_info first, then concrete sheet_query calls built from the columns it actually found.
| You say | Tool |
|---|---|
| "Open sales.xlsx and tell me what's in it." | sheet_info |
| "Show me the first 50 rows." | sheet_read |
| "Which rep sold the most units in the North region? Top 5 with totals." | sheet_query (group_by + aggregate) |
| "How many empty cells are in the Email column, and what's the median order size?" | sheet_stats |
| "Find every row that mentions 'refund'." | sheet_find |
| "Write this as a new sheet called Q3 Results." | sheet_write |
| "Add a Revenue column that's Units times Unit Price, save it as a CSV next to the original." | sheet_add_column |
| "Convert this xlsx to JSON." | sheet_convert |
| "Am I on the free plan or Pro?" | license_status |
| "Here's my license key, activate it." | license_activate |
From docs/USER_VALUE_R2.md, a 400-row fixture with a title row and a blank row above the real header (row 3), sheets Sales / Reps / Notes, prices stored as strings like "1,516.16". One call, ground truth confirmed against the generator: Turing 650, Hopper 567, Linus T 551, Lovelace 486, Liskov 290.
You: Which rep sold the most units in the North region? Top 5 with totals.
sheet_query { path: "/Users/you/sales.xlsx", sheet: "Sales", where: "[Region] = \"North\"", group_by: ["Rep"], aggregate: [{ col: "Units", fn: "sum", as: "total_units" }], sort: { col: "total_units", dir: "desc" }, limit: 5 }
Assistant: Query: where [Region] = "North"; group by Rep; sum Units as total_units; sort total_units desc; limit 5 5 groups from 102 of 400 rows, showing 5
Alan Turing 650 Grace Hopper 567 Linus T 551 Ada Lovelace 486 Barbara Liskov 290
The response now echoes the exact query it ran (the Query: line) before the numbers, so a filter you did not ask for, an accidental AND [Status] = "Closed", say, is visible instead of silently narrowing the answer.
A second example, adding a column and saving without touching the source:
You: Add a Revenue column and save it as a CSV next to the original.
sheet_add_column { path: "/Users/you/sales.xlsx", sheet: "Sales", name: "Revenue", formula: "[Units] * [Unit Price]", out_path: "/Users/you/sales.csv" }
Assistant: Wrote 400 rows (401 lines with header) to sales.csv. Revenue = Units * Unit Price on every row, total 10,142,542.04. Source file untouched.
where and formula languageA small expression language, parsed and evaluated directly. There is no eval and no code execution: a bare word is always a column name, never a JavaScript value.
[Unit Price] for names with spaces, Qty otherwise. Lookup is case insensitive.= != > >= < <= contains startswith endswithAND OR NOT and parentheses. AND binds tighter than OR.+ - * % / with the usual precedence.'single' or "double" quotes; double a quote to escape it.[Qty] >= 5 AND ([Status] = "open" OR [Region] contains "north")
[Amount] > 1000 AND NOT [Customer] startswith 'Test'
Formula example for sheet_add_column: [Qty] * [Unit Price]. When every column the formula reads holds at most 2 decimals, the result is rounded to 2 decimals, so [Amount] * 1.23 on money gives 40.79 rather than 40.7868. Pass decimals (0-10) to choose the precision yourself.
Numbers written as text in a CSV are converted by pattern, not by length: 1250.00, 12.00 and 1,250.00 all become numbers in the xlsx output, so Excel's own SUM counts them. Identifier-shaped and ambiguous values stay text: 007 keeps its leading zeros and 1.250,00 is left alone rather than guessed at.
Text comparisons ignore case and surrounding whitespace. Values like $1,250.00, 1 250, and 12% compare as numbers, so [Amount] > 1000 works on a column your spreadsheet stored as text.
| Free | Pro | |
|---|---|---|
Every tool that reads a file (sheet_info, sheet_read, sheet_query, sheet_stats, sheet_find, sheet_add_column, sheet_convert) | Files up to 5 MB and 5,000 rows | No limit (up to the 50 MB file ceiling) |
sheet_write, sheet_add_column, sheet_convert | Up to 500 rows written per file; over that nothing is written and the tool says so | No limit |
| Sheets, formats, expression language | All | All |
Over a free read limit the tool still does the work and returns the part it is allowed to return (the first 5,000 rows), with a note saying what was left out. Over the free write limit nothing at all is written: a partial file that looks complete is worse than no file, so the tool refuses, tells you the row count and the cap, and suggests a free workaround (filter the rows down first, or write in 500-row batches). Nothing fails silently.
$19 one-time for this server, $39 for every server, lifetime: https://mcp.zovo.one/buy/spreadsheet
This server keeps no database of its own, it reads and writes the spreadsheet files you point it at, directly on your disk, and nothing else. Every write (sheet_write, sheet_add_column, sheet_convert in overwrite mode) goes to a temporary file in the same directory first, then is renamed into place, so an interrupted write leaves either the untouched original or the complete new file, never a truncated one. Because there is no shared state file, there is no advisory lock to take: two calls writing to two different output paths cannot collide, and a call to overwrite the same file twice in a row is simply two writes in sequence. To back up your data, back up the spreadsheet files themselves, there is nothing else to copy.
where/formula language is intentionally small: no regular expressions, no custom functions, no cross-sheet references in a single formula. It covers comparisons, boolean logic and arithmetic, nothing more.sheet_write with append or overwrite reads the whole workbook, swaps the sheet you named and writes every other sheet back, so Sheet2 and its data survive an append to Sheet1. What is *not* preserved is the sheet being written: it is rebuilt from values, so formulas, cell formatting, conditional formatting, charts, data validation and merged cells on that one sheet become plain values. Other sheets keep their cells as read. Take a copy first if the target sheet carries formatting you cannot recreate.1,250.00, 1 250.00, $1,250.00, 12,99, 1.234,56 and EUR 1 250,00 all read as numbers; a decimal comma is only accepted in the unambiguous shape (a comma with exactly two digits at the end, dots or spaces grouping). Anything that mixes separators another way (1,2500.00) stays texSolo se muestra el principio; lee el resto en el repo