Xlsx For AI MCP server

Read from the package source without running it. The installed server may list more.

• csv_check

  Verify CSV structure and injection safety

• importable_connect

  Connect this agent to a Shopify store via a merchant-minted code

• importable_convertwrite action

  Convert a merchant file to a Shopify import plan (dry-run)

• importable_entities

  List Importable-drivable Shopify entities

• importable_export

  Export a Shopify entity from the connected store

• importable_importwrite action

  Apply a file to the connected Shopify store (dry-run, then owner-approved commit)

• importable_job_statuswrite action

  Check the status of an Importable import or export run

• printful_catalog_import

  Produce Shopify products import CSV from Printful catalog

• printful_catalog_pull

  Pull Printful catalog snapshot

• printify_catalog_import

  Produce Shopify products import CSV from Printify catalog

• printify_catalog_pull

  Pull Printify catalog snapshot

• shopify_amazon_feed

  Produce Amazon inventory feed

• shopify_collections_import

  Produce Shopify collections import CSV

• shopify_ebay_feed

  Produce eBay File Exchange feed CSV

• shopify_google_feed

  Produce Google Shopping feed CSV

• shopify_inventory_import

  Produce Shopify inventory import CSV

• shopify_metafields_safe_reimport

  Produce a safe Shopify metafields re-import CSV

• shopify_product_metafields_import

  Produce Shopify product-metafields import CSV

• shopify_products_import

  Produce Shopify products import CSV

• shopify_products_import_fix

  Fix Shopify products import CSV

• shopify_ups_feed

  Produce UPS WorldShip batch CSV

• shopify_url_redirects_import

  Produce Shopify URL redirects import CSV

• shopify_variant_metafields_import

  Produce Shopify variant-metafields import CSV

• xlsx_aggregate

  pandas-style df.groupby([cols]).agg({col: func}) on a LOCAL .xlsx file. funcs: sum / mean / min / max / count / count_distinct.

• xlsx_charts

  List every chart in a LOCAL .xlsx file with type (bar / line / pie / scatter / area / doughnut / radar / stock / surface / bubble), title, axis titles, and per-series formula refs (the cell ranges the chart pulls from). Sheet attribution via the OOXML drawing rel chain.

• xlsx_check

  Verify Excel workbook with an independent engine

• xlsx_comments

  list every cell comment in a workbook — both legacy notes (yellow stickies, cell.note) AND modern threaded comments (multi-author conversations stored separately in the OOXML zip). Per entry: kind, sheet, cell, author, text, plus any reply thread.

• xlsx_conditional_formats

  list every conditional formatting rule in a workbook — color scales, data bars, icon sets, formula-based highlights, top-N, duplicate / unique values, contains-text, time-period, above-average. Per rule: range, type, operator, formulae, priority, stopIfTrue.

• xlsx_convert

  universal spreadsheet format converter. Reads ANY of 25+ input formats (xlsx, xlsb, xlsm, xls, ods, fods, numbers, csv, tsv, dbf, lotus 1-2-3, quattro pro, sylk, dif, html, rtf, etc.) and emits ANY supported output format (xlsx, csv, json, md, html, etc.).

• xlsx_data_clean

  AI-native data cleaning for a LOCAL .xlsx file. Scans for the seven most common data-grime issues — NA variants (N/A, NA, null, -), merged-cell residue, type-coercion mistakes (numeric-as-text / date-as-serial / leading-zero stripped), trailing-row noise (footers / totals), header-row-not-first (preamble before headers), encoding glitches (UTF-8-as-CP1252 mojibake), and duplicate column headers —

• xlsx_data_validations

  list every cell-level data validation rule (dropdowns, numeric/date bounds, text-length caps, custom formulas) defined in a workbook — the constraints that Excel enforces when a human types into the cell.

• xlsx_describe

  pandas-style df.describe() per column — count, nulls, unique, min/max/mean/std for numerics, dtype with purity score.

• xlsx_diff

  compute a semantic diff between two LOCAL .xlsx files — cell-level deltas, formula changes, added/removed rows.

• xlsx_doctor

  ONE-CALL workbook health report for a LOCAL .xlsx file. Scans for macros, external workbook references, hidden / veryHidden sheets, missing creator metadata, large embedded images, and surfaces interesting feature flags (LAMBDA, dynamic arrays, pivot cache, slicers, threaded comments). Findings ranked HIGH / MEDIUM / LOW. Plus quick_facts: sheet count, formulas, named ranges, merges, hyperlinks, v

• xlsx_eval

  evaluate Excel formulas against a LOCAL .xlsx file with our own recalc engine. xlwings-style.

• xlsx_external_links

  list every external workbook reference this file depends on — `=[Budget.xlsx]Sheet1!A1` style formulas. Per link: target path (decoded), classification (http / network share / absolute / relative), sheets pulled from the external workbook, count of cached cell values, and defined-name references.

• xlsx_filter

  pandas-style row filter on a LOCAL .xlsx file with predicates AND-combined: eq/ne/gt/gte/lt/lte/contains/in/is_null/not_null.

• xlsx_form_controlswrite action

  list every form control (Check Box, Button, Drop-down, List Box, Option Button, Scroll Bar, Spinner, Label, Group Box) in a workbook with the linked cell, current value, dropdown source range, and min/max/step bounds where applicable.

• xlsx_formulas

  extract every formula in a LOCAL .xlsx workbook — cell coord (A1), formula text, cached result. openpyxl-style read-only metadata.

• xlsx_healer_cure

  Apply ONE specific cure operation against a diagnosed workbook. Operations: rename_move (rewrite ref paths), pattern_bulk (regex-style ref rewrites), source_deleted_freeze (replace broken refs with cached values), source_deleted_redirect (point at a replacement file), source_deleted_localize (snapshot external source into a local copy), permission_denied (strip credentials), structure_changed (rew

• xlsx_healer_diagnose

  produce a structured diagnostic report of external references that are broken or at risk in a workbook. Returns five classes of finding: (1) external-workbook references that can't resolve, (2) defined-name external refs, (3) Power Query connections with embedded credentials, (4) #REF! propagation maps from upstream breakage, (5) multi-hop chains (workbook → workbook → workbook). Findings carry re

• xlsx_healer_intent

  Goal-driven healing. Caller declares an INTENT (`make-it-work`, `make-standalone`, or `migrate`) instead of a specific cure operation; Healer plans the operation sequence + applies it. make-it-work: minimum surgery to clear errors. make-standalone: fully de-externalize (snapshot every external dep). migrate: rewrite all references against a from/to prefix pair. Returns the planned operations, cure

• xlsx_healer_simulate

  simulate recipient-side accessibility of a workbook's external references. Given a list of paths the recipient CAN see (`accessible_paths`), returns which references will still resolve at the recipient end and which will break (and why). Read-only; produces no output workbook.

• xlsx_hyperlinks

  list every hyperlink in a workbook with its anchor cell, target URL/anchor, display text, tooltip, and a kind classifier (external / internal / mailto / unknown).

• xlsx_images

  List every embedded image in a LOCAL .xlsx file with format (png / jpg / gif / svg / bmp / tiff / emf / wmf), size in bytes, sheet attribution, and anchor cell range (the cells the image floats over). Reads xl/media/* + xl/drawings/* directly.

• xlsx_list_sheets

  list sheet names, dimensions, and visibility for a LOCAL .xlsx file.

• xlsx_macros

  Inspect xlsm / xlsb workbooks for VBA macro presence, vbaProject.bin size, and likely module names (ThisWorkbook / Sheet<N> / Module<N> / Class<N> / UserForm<N> via heuristic UTF-16LE scan). Returns short safety advice the LLM should relay to the user.

• xlsx_merged_cells

  list every merged-cell region with master-cell value, range, span dimensions, and kind heuristic ("header" / "horizontal" / "vertical" / "block"). Pandas reads merged cells by dropping the relationship — it sees one value in the master cell and three blanks alongside. xlsx_merged_cells is the layout-aware view: "A1:D1 is ONE cell that says Q4 2024" rather than four cells where three are mysterious

• xlsx_named_ranges

  list all defined names (named ranges) in a LOCAL .xlsx workbook — name, scope (workbook or sheet), kind (cell / range / formula), reference.

• xlsx_pii_clean

  Redact personal or sensitive data from an Excel file

• xlsx_pii_scan

  Scan Excel for personal or sensitive data

• xlsx_pivot

  pandas-style pivot_table() on a LOCAL .xlsx file — reshape a flat table into a 2D matrix where rows are unique values of `index`, columns are unique values of `columns`, and cells are an aggregation of `values`.

• xlsx_pivot_tables

  List every PRE-EXISTING pivot table definition in a LOCAL .xlsx file (the ones an Excel user already built). Per pivot: sheet, name, location range, source range (or named-range / table reference), row / column / page fields, and data fields with their agg function (sum / count / average / max / min / product / stdDev / etc.).

• xlsx_post_slackwrite action

  upload a local .xlsx file to a Slack channel as a file attachment, with an optional accompanying message.

• xlsx_post_teamswrite action

  Upload a local .xlsx file to a Microsoft Teams channel as a file attachment, with an optional accompanying message.

• xlsx_print_settings

  surface "what would Excel print right now" per worksheet — print area, orientation, paper size (A4 / Letter / Legal / Tabloid / etc.), scale or fitToPage, margins, headers/footers split into Excel's L/C/R zones, print titles (rows / columns repeated on every page), manual page breaks, plus B&W / draft / centered flags.

• xlsx_properties

  Surface the workbook's identity card from a LOCAL .xlsx file. Core: creator, last_modified_by, created/modified/lastPrinted timestamps, title, subject, company, manager, keywords, category, description. Application: app name + version, doc security label, hyperlink base. Custom: every user-defined Info > Properties entry (Department, ReviewedBy, ApprovalRequired, etc.) with type tag and value.

• xlsx_protection

  Surface every protection setting in a LOCAL .xlsx file so an agent knows what it can and cannot edit. Workbook-level (lockStructure, lockWindows), per-sheet (protected? password? hidden state?), per-action allow/block list (formatCells, sort, insertRows, pivotTables, etc.), and per-cell unlocked / hidden samples — these are the cells a human would actually be allowed to type into when the sheet is

• xlsx_read

  xfa — read an .xlsx file by path and return a rendered markdown/JSON/SQL representation.

• xlsx_read_handlewrite action

  read a workbook that has already been uploaded to the server via the chunked upload flow, by its server-side cache handle, WITHOUT re-transferring the bytes. Returns the same shape as xlsx_read (text / json / markdown) but skips the file_b64 round-trip.

• xlsx_receipt

  Attach an AI-generation receipt to a LOCAL .xlsx file — a cryptographic attestation embedded in docProps/custom.xml that says "this file was generated by THIS agent, at THIS time, against THESE inputs." Returns the receipted workbook as base64 in _meta.file_b64; pass out_path to write to disk.

• xlsx_redact

  redact PII and sensitive values from a LOCAL .xlsx file before sharing or archiving.

• xlsx_schema

  infer column schema of a LOCAL .xlsx file — types, nullable flags, header row, sample values.

• xlsx_session_set_validations

  configure per-session data-validation rules the server will apply to subsequent calls in the same session (e.g., reject rows missing required columns, enforce enum values on a category column, range-bound numeric inputs). Stateful — affects this session only.

• xlsx_slicers_timelines

  List every slicer (interactive filter button) and timeline (date-range filter visual) in a LOCAL .xlsx file with their captions, source bindings (table column or pivot table), and timeline granularity (years / quarters / months / days) plus the currently-selected date range.

• xlsx_sort

  pandas-style df.sort_values() on a LOCAL .xlsx file with multi-column sort and per-column direction (asc/desc, default asc).

• xlsx_stamp

  Sign a LOCAL .xlsx file with a "workbook integrity verification" stamp — a cryptographic attestation embedded in docProps/custom.xml that says "this file was generated by these tools, passed these N specific checks, signed at this time, and hasn't been tampered with since." Factual claims only (never an opinion-shaped seal of approval). Returns the stamped workbook as base64 in _meta.file_b64; pas

• xlsx_styles

  surface cell formatting (number formats, fonts, fills, alignment) so an agent knows what a cell LOOKS like, not just its raw value. Default mode: per-sheet rollup of top-N number formats / fonts / fills with counts. Detailed mode (opt-in, capped at 1000 cells): per-cell breakdown for narrow queries.

• xlsx_tables

  list every Excel ListObject ("Format as Table" structures) in a LOCAL .xlsx workbook — name, sheet, range, header/totals flags, columns.

• xlsx_topology

  one-call workbook orientation. Returns sheets × dimensions × formulas × named ranges × tables × validations × hyperlinks × merges in one shot, plus feature flags (macros / external refs / pivots / LAMBDA / dynamic arrays).

• xlsx_validate

  cross-engine consistency check on a LOCAL .xlsx file — runs the workbook through TWO independent renderers (@protobi/exceljs and @cj-tech-master/excelts) and reports cell-level divergences.

• xlsx_value_counts

  pandas-style Series.value_counts() on one column of a LOCAL .xlsx file — count each unique value, sorted by frequency desc, with percentage.

• xlsx_vault_cure

  Clean hidden or risky content from an Excel file

• xlsx_vault_scan

  Scan Excel for hidden or risky content

• xlsx_verify_receipt

  verify a workbook's embedded AI-generation receipt. Returns whether the signature is valid, whether the recomputed content hash matches the hash IN the receipt, and the full caller-declared claims (agent identity, generation timestamp, source-file hashes, prompt hash, MCP tools called, description).

• xlsx_verify_stamp

  verify a workbook's embedded integrity-verification stamp. Returns whether the cryptographic signature is valid, whether the workbook bytes match what was signed (recomputed hash vs hash IN the stamp), and the full check-result content of the stamp.

• xlsx_workbook_views

  Surface the UI state of a LOCAL .xlsx file — what a human sees when they open it in Excel. Per sheet: visibility (visible / hidden / veryHidden), view state, zoom, active cell + selection, frozen-pane breakdown, gridlines / row-col headers / ruler / RTL flags, tab color. Workbook level: which sheet is active when Excel opens.

• xlsx_writewrite action

  create or update a LOCAL .xlsx file from a structured spec.

• Code scan15 source files scanned15/25
• –Live reliabilityno gateway calls yet and no remote to proben/a
• –Tool poisoningtools not inspected (local package is not executed); not countedn/a
• Auth qualitylocal package, no credentials required12/15
• Maintenancelast push 4 days ago15/15
• Maintainer identityregistry namespace matches repository owner; GitHub account older than a year8/10

Xlsx For AI: common questions

Is Xlsx For AI MCP server safe?

Mostly: it is graded B (77/100). Read the Xlsx For AI safety report

How do I install Xlsx For AI?

It runs on your machine. Copy the Claude Code, Claude Desktop or Cursor config from the install section.

Does Xlsx For AI need an API key?

Not as far as the registry entry and our scan can tell: no credentials are declared or required.

Is Xlsx For AI maintained?

The last commit was 5 days ago (2026-09-16). The latest release is v4.0.6.