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MCP servers for spreadsheets

MCP servers whose description mentions spreadsheets or reading tabular files.

268 servers 0.6% of 42,727 in the directory

This category in numbers

The most frequent value per property, counted across the entries of this category. The full distribution is further down.

Entries

Filter further

Entries 1 to 50 of 268

Entries
13-Week Cash Flow Planit.chiriba/cashflow13
AILANG Parseio.github.sunholo-data/parse
AKD VaultPDFio.github.LifeAbundantly/akd-vaultpdf
AccessEXL Agent Capabilitiesio.github.jrobsonaccessanalytic/accessexl-capabilities
Agent Spreadsheet MCPio.github.PSU3D0/agent-spreadsheet
Anomaly AIio.github.anomaly-ai/anomaly
Apple Healthio.github.neiltron/apple-health-mcp
AsOfxyz.asof/asof
AsOf Demoxyz.asof/asof-demo
Belindoc Translatorcom.belindoc/belindoc-mcp
Bulk AI Image Upscaler from CSV, Google Sheet or Datasetio.github.Nero-Engine/bulk-image-upscaler
Bulk Email Validator & List Cleaner: MX, Disposable & Typosio.github.Nero-Engine/email-list-cleaner
Bulk Image & File Downloader from CSV, Google Sheet or Datasetio.github.Nero-Engine/bulk-file-downloader
Bulk OCR: Image & Scanned PDF to Text from CSV or Google Sheetio.github.Nero-Engine/bulk-ocr-image-pdf-to-text
Bulk Phone Number Validator & Cleaner: Carrier, CSV or Sheetio.github.Nero-Engine/phone-number-validator
Bulk Website Screenshots from CSV, Google Sheet or Datasetio.github.Nero-Engine/bulk-website-screenshots
CSV Import Rehearsalcom.mcpscores/csv-import-rehearsal
CSV column count, body discardedio.github.sadri-dridi/csv-ok
CSV data-row count, cells discardedio.github.sadri-dridi/csv-rows-ok
CSV header column count, rows discardedio.github.sadri-dridi/csv-cols-ok
CSV header count, body discardedio.github.sadri-dridi/csv-header-ok
CSV quoted-field count, input discardedio.github.sadri-dridi/csv-esc
CSV row count, body discardedio.github.sadri-dridi/csv-row-count
CSV to JSON APIio.github.Br0ski777/csv-to-json
Carbone MCPio.carbone/carbone-mcp
Casper Toolsio.github.magiautonomous/casper-tools
Ciro Cesar Maciel — Free Toolsclick.ciromaciel/tools
ClassDojo Classroom MCPio.github.Eason0in/classdojo-mcp
Clean Tabledev.workers.pradooskee.money-machine/clean-table
ClicheFactory Document Intelligenceio.github.ClicheFactory/clichefactory-mcp
Contextflocom.contextflo/contextflo
Csvio.github.pipeworx-io/csv
Data Profilerio.github.Ridadata/mcp-data-profiler
DataScoop public dataio.datascoop/datascoop
Dataloupeio.github.aurelio-nakamura/dataloupe
Dataset Cleaner & Exporterio.github.Nero-Engine/dataset-cleaner-exporter
Dataset Diff & Change Detector: Only New Itemsio.github.Nero-Engine/dataset-diff-detector-full
Dataset Explorerio.github.khanarmaghanrasheed-18/dataset-explorer
Dataset Filter & Transformio.github.Nero-Engine/dataset-filter-transform-full
Dataset Join & Merge (VLOOKUP for Datasets)io.github.Nero-Engine/dataset-join-merge-full
DocRaptor MCP by usefulapiio.usefulapi/docraptor
Doc_Conv — Document to Markdownio.github.nicklee002e/docconv-mcp
Document Toolsapp.openkrill/docs
Documenteroio.github.documentero/documentero-mcp
Dokmatiq DocGenio.github.dokmatiq/docgen
Excel & CSV to JSON (Apify Actor)io.github.truhojunbot-tech/excel-extractor
Excel MCP Serverio.github.haris-musa/excel-mcp-server
Excel MCP Server (FsOpenXmlDsl)io.github.MarkNicholls/fsopenxmldsl-mcp
Excel Semantic Normalizerio.github.climik/excel-normalizer
FGAC.ai: Multiple Gmail Accounts, Google Sheets & Docsai.fgac/fgac

All 268 entries in the list, with filters and pagination

Newest in this category

The 10 entries of this category that this registry listed most recently for the first time and that are not shown above. Ordered by the day first listed, not by any rating.

How it works

Before choosing

This category is derived from terms in the provider’s description. The classification describes the source text; tracevero has not run the stated functionality. The search patterns used are: csv, excel, xlsx, spreadsheet, spreadsheets, google sheets. Compare the entry descriptions, then check execution, package and declared credentials.

What this category selects

What this category selects
Field of use, derived from the vendor descriptionSpreadsheets
derived from: Description (raw)

A derived value carries its original data beside it; the derivation rule is published, with a version, on the methodology page.

Caveats, distribution and query

What this category does not say

  • Field of use, derived from the vendor description is not declared but computed: from Description (raw). The rule is published, with a version, on the methodology page.

What is measured is what a manifest declares, not what a piece of software does. This registry fetches no repository URL, no endpoint and no package index; nothing here is verified. Which value comes from which source, and by which rule it was formed, is set out in the Methodology.

Every sentence here follows from the condition above, not from an assessment.

How this category is distributed

Delivery form (raw)

268
Delivery form (raw)
package128 48 %
remote106 40 %
package and remote30 11 %
neither4 1.5 %

Execution location

268
Execution location
local162 60 %
remote106 40 %

Repository platform (raw)

268
Repository platform (raw)
github197 74 %
nothing declared69 26 %
gitlab2 0.7 %

Repository URL listed

268
Repository URL listed
yes199 74 %
no69 26 %

Required secrets declared

268
Required secrets declared
no212 79 %
yes56 21 %

Icon formats (raw)

268
Icon formats (raw)
nothing declared245 91 %
image/png9 3.4 %
image/svg+xml8 3.0 %
image/png, image/svg+xml3 1.1 %
image/webp2 0.7 %
image/jpeg1 0.4 %

Per property, the measured values inside this category. The share refers to the 268 entries of the category, not to the registry. Shown are 6 of 8 properties: those whose values spread the most inside this category.

The same category through the interface

curl -s "https://api.tracevero.com/v1/eintraege?art=mcp_server&einsatzgebiet=tabellen&grenze=200"

The command carries exactly the condition of this page. 268 entries at 200 each are 2 requests; the total is in the X-Gesamt header.

Changes to these entries

https://tracevero.com/aenderungen.atom?thema=einsatz-tabellen

Both addresses narrow the change stream to exactly the entries in this category. The feed carries an identifier of its own, so a feed reader keeps it apart from the full stream.

Questions about this selection

How do I set up one of these servers in my client?

Open the entry and choose “Build configuration” when a launch template is available. The builder lists the supported clients and identifies the values you need to supply. A generated file does not establish that the server is reachable or works with your installation.

View clients and setup

Are the listed servers free?

Membership of this category says nothing about price. Neither a repository address nor the absence of declared required secrets establishes that a service is free. Check the individual provider’s pricing and access terms.

How can I follow changes to this selection?

Each entry identifies the source and collection date of its declarations. The change stream for this category shows published changes to its entries. You can subscribe to its Atom feed without creating an account.

Follow changes to this category

Categories sharing entries with this one

MCP servers for documents 1,415 entries in this category66 shared MCP servers as an MCPB bundle only 803 entries in this category27 shared MCP servers for text recognition 144 entries in this category9 shared MCP servers for images 1,048 entries in this category20 shared Remote MCP servers with an Authorization header 2,131 entries in this category36 shared MCP servers over stdio and streamable-http 1,940 entries in this category33 shared

Per neighbour its own size and the counted number of shared entries. A category without a single shared entry is not listed here.

tracevero · https://tracevero.com/themen/einsatz-tabellen