"Working with Excel or Excel tutorials" matching MCP tools:

• get_player_templateA

  turnaleA

  A blank Excel workbook the organiser fills in and hands back: Name, Level, Gender, Comments, one player per row, with a sheet explaining each column. Offer it when the organiser has no list ready, asks how to send their players, or would rather work in a spreadsheet than paste names into chat. Needs no key. The file comes back both as a download link and as an attachable file. Reading a filled-in sheet needs no tool: parse it yourself and send the rows to add_players.

  ConnectorNo auth

• calculateA

  AutarioA

  Create a derived series from two indicators using an Excel-style op: ratio (A/B), ratio_pct (A/B*100), diff (A-B), sum (A+B), product (A*B). Returns the per-timepoint result + summary. Use for things like debt-to-GDP ratio, revenue-per-employee, spread between two yields. autario refuses to combine columns of different kinds. Read the semantics field of the schema before combining two columns. A refused call answers error_code incompatible_semantics with both columns, the reason, and the ops that WOULD work (e.g. spend and clicks do not add but divide into cpc); pass override=true with a reason to compute it anyway, and the reason is returned with the result. Every result carries a computation block naming the columns, kinds, rows and window it used. Runs on any verified autario indicator (World Bank, FRED, Eurostat, OECD, IMF, WHO, ECB, US Census, SEC).

  ConnectorNo auth

• compute_swaleA

  civilquantsA

  Paid tier only. Calling this without an authenticated CivilQuants account returns TIER_INSUFFICIENT — sign up at https://civilquants.com/pricing or use the free-tier alternative compute_attenuation_tank. Vegetated, geotextile-reinforced or rip-rap-lined linear drainage swale per CIRIA C753. Trapezoidal prismatic channel with three lining strategies covering the UK design palette from low-velocity amenity grass channels (1V:3H, 1-3% gradient) to high-velocity rip-rap-lined stretches. Optional check-dams (stone or concrete) for steeper sections. Renders cleanly across all four standards using existing earthworks / geosynthetics / concrete handlers — no PC items, all contractor-full supply route. Example params: bed_width=0.5 m (0.2–3), left_side_slope_h_per_v=3 (1.5–6), right_side_slope_h_per_v=3 (1.5–6). Example call: {"params": {"bed_width": 0.5, "left_side_slope_h_per_v": 3, "right_side_slope_h_per_v": 3}, "standard": "MMHW"}. Omitted parameters use sensible engineering defaults. Pass deliverables=["xlsx","dxf","pdf"] (any subset) to also receive one-shot download URLs in the same call: Excel BoQ (both tiers, watermarked free) plus the dimensioned DXF (CAD) and PDF drawing sheets (paid tier).

  ConnectorNo auth

• do_file_jobA

  ChangeThisFileA

  Describe what you want done to a file in plain language — e.g. "translate this contract to German", "pull every table out of this PDF into Excel", "shrink this video to under 25MB", "convert this to PDF". The instruction is routed to the right job automatically; if the request is not supported yet you get an honest explanation of what is. Provide EITHER source_url OR base64_content, plus a filename with extension.

  ConnectorNo auth

• firmaradar_get_regnskapsrapportA

  FirmaradarA

  Order a formatted, downloadable financial report (Excel or PDF) for a Norwegian company — the same multi-source-fused figures, layout and source note as the report a customer would download in the Firmaradar portal, ready to file or forward. Returns a short-lived download link + metadata (years covered, source, currency), NOT the file itself and NOT base64 data — fetch the download_url separately, no further auth required, within expires_in seconds. Use `get_company_financials` instead when you need the raw figures to reason about, not a document to hand off. Requires the Excel-export or PDF-export add-on (matching the requested format) on the caller's account. Charges 1 credit per financial year included in the report.

  ConnectorNo auth

• layerz_external_refA

  LayerzA

  Link this model to an item of ANOTHER Layerz model (external ref, like an Excel linked workbook) by `op`. `link`: create (or retarget with `uid`) a non-list assumption whose `values` hold a materialized snapshot of the source item's computed series, projected to this model's grain (periods outside the source's coverage stay null); requires read access to the source model; the line is then referenceable in formulas like any assumption. `refresh`: re-read every linked source (or just `uids`) and rewrite the snapshots — the ONLY way values update; never automatic; per-link failures (source deleted/inaccessible or item gone) are reported without touching the stored values. Read links with layerz_external_ref_status; detach one with layerz_unlink_external_ref. Not available for read-only API keys.

  ConnectorOAuth

• sanitize_datasetA

  Scientific MicroservicesA

  Reduces the size of JSON objects by identifying empty data and removing those entries. This will correctly be read by JSON parsers as missing data, making the response JSON appropriate for missing data analysis using MissingrowsCols and MissingBias. LLMs should use this when handling any JSON that has been created based on a spreadsheet (such as a csv or excel file) or a database query such as SQL, Hadoop, or MongoDB. Example Input: {"payload": [{"Category":"","Price":4436,"Rating":4.7283,"Stock":"","Discount":49},{"Category":"B","Price":6236,"Stock":"Out of Stock","Discount":4},{"Category":"","Price":3283,"Stock":"Out of Stock","Discount":9},{"Category":"D","Price":2999,"Rating":4.426,"Stock":"","Discount":40},{"Category":"","Rating":2.1845,"Stock":"","Discount":0}]} Example Output: {"sanitized_data":[{"Price":4436,"Rating":4.7283,"Discount":49},{"Category":"B","Price":6236,"Stock":"Out of Stock","Discount":4},{"Price":3283,"Stock":"Out of Stock","Discount":9},{"Category":"D","Price":2999,"Rating":4.426,"Discount":40},{"Rating":2.1845,"Discount":0}]}

  ConnectorNo auth

• till_exportA

  biiiB

  ACCOUNTING EXPORT: turn the verified receipts into an accountant-ready CSV that QuickBooks / Xero / Excel import (the export finance teams need to adopt). Every row carries its own txHash + Basescan link, so the accountant re-verifies each amount on Base themselves — the export is a POINTER to the chain, never a book to trust. Non-custodial (BIII moved no funds). Columns: date, receipt_no, reference, description, payer, gross_usdc, tip_usdc, charged_usdc, token, chain, tx_hash, basescan_url, status. Dedup by txHash; optional block-time window; brand slugs the filename. WINDOW HONESTY: a receipt with no on-chain block time cannot be proven to fall inside a dated window, so it is excluded from one — and summary.undatedExcluded reports HOW MANY were, with the same warning prepended to `disclosure`. If that count is non-zero the CSV is short by those rows: re-run with no window to see them all.

  ConnectorNo auth

• bank_uploadA

  bank-statement-csv-categorize-reconcile-ledgerA

  Send a bank export to this hosted endpoint. There is no filesystem here, so instead of a path you upload the file once with bank_upload and then pass its name as `path` to statement_import. Give exactly one of content (the export as text, header row included - this is the normal case for a CSV), content_base64 (the file's bytes, which keeps a UTF-16 export from Excel readable) or url. url: fetch a public file instead of pasting base64 (recommended above about 10 KB): the url is fetched here with a 10 second timeout, at most 3 redirects, public http(s) hosts only, and a 1 MB cap; the fetched file has to be delimited text, so a PDF statement is refused rather than stored. Uploads are kept for your token between calls; bank_files lists them and bank_delete_upload removes one. The request body cap is 256 KB, so a large export pasted as text has to be split by month.

  ConnectorNo auth

• bank_uploadA

  cashflowA

  Send a bank export to this hosted endpoint. There is no filesystem here, so instead of a path you upload the file once with bank_upload and then pass its name as `path` to statement_import. Give exactly one of content (the export as text, header row included - this is the normal case for a CSV), content_base64 (the file's bytes, which keeps a UTF-16 export from Excel readable) or url. url: fetch a public file instead of pasting base64 (recommended above about 10 KB): the url is fetched here with a 10 second timeout, at most 3 redirects, public http(s) hosts only, and a 1 MB cap; the fetched file has to be delimited text, so a PDF statement is refused rather than stored. Uploads are kept for your token between calls; bank_files lists them and bank_delete_upload removes one. The request body cap is 256 KB, so a large export pasted as text has to be split by month.

  ConnectorNo auth

• bank_uploadA

  categorize-transactionsA

  Send a bank export to this hosted endpoint. There is no filesystem here, so instead of a path you upload the file once with bank_upload and then pass its name as `path` to statement_import. Give exactly one of content (the export as text, header row included - this is the normal case for a CSV), content_base64 (the file's bytes, which keeps a UTF-16 export from Excel readable) or url. url: fetch a public file instead of pasting base64 (recommended above about 10 KB): the url is fetched here with a 10 second timeout, at most 3 redirects, public http(s) hosts only, and a 1 MB cap; the fetched file has to be delimited text, so a PDF statement is refused rather than stored. Uploads are kept for your token between calls; bank_files lists them and bank_delete_upload removes one. The request body cap is 256 KB, so a large export pasted as text has to be split by month.

  ConnectorNo auth

• bank_uploadA

  bank-statement-pdfA

  Send a bank export to this hosted endpoint. There is no filesystem here, so instead of a path you upload the file once with bank_upload and then pass its name as `path` to statement_import. Give exactly one of content (the export as text, header row included - this is the normal case for a CSV), content_base64 (the file's bytes, which keeps a UTF-16 export from Excel readable) or url. url: fetch a public file instead of pasting base64 (recommended above about 10 KB): the url is fetched here with a 10 second timeout, at most 3 redirects, public http(s) hosts only, and a 1 MB cap; the fetched file has to be delimited text, so a PDF statement is refused rather than stored. Uploads are kept for your token between calls; bank_files lists them and bank_delete_upload removes one. The request body cap is 256 KB, so a large export pasted as text has to be split by month.

  ConnectorNo auth

• upload_data_sourceA

  clariBI.comA

  Create a new data source from an inline base64-encoded file (CSV, TSV, JSON, Excel, TXT, PDF). The file goes through the same validation and preprocessing as a web upload. Returns the data_source_id you can pass to run_analysis as soon as preprocessing completes (poll get_data_source_schema for readiness or pass wait_seconds to block here).

  ConnectorNo auth

• generate_lbo_xlsxA

  Valuein — SEC EDGAR Fundamentals & Smart-Money DataA

  Render an LBO result into a professional Excel workbook (Summary + year-by-year Projection table + Inputs sheet). Returns a 15-minute presigned R2 download URL. SERVER-TRUST: the deal is re-derived in-Worker from the supplied `lbo_result.inputs_echo` (the math is pure + deterministic) and the workbook renders Valuein's recomputed figures — never the caller's claimed values. If the claimed figures disagree, the workbook is still produced but stamped with a visible correction banner and the response `verification.status` is 'corrected'. Pair with `compute_lbo` for a typical flow: agent calls `compute_lbo({ticker, ...})`, then passes the structured result straight to `generate_lbo_xlsx({ticker, lbo_result, ...})` to materialise a shareable file. Tier: pro+.

  ConnectorNo auth

• docraptor_create_documentA

  docraptorA

  Generate a PDF or Excel document from HTML (document_content) or a URL (document_url). Exactly one of document_content / document_url is required. By default the document is HOSTED and the tool returns a { download_url } you can fetch — ideal for agents (no large binary in the response). Set hosted:false to get the raw document back as base64, or async:true to enqueue a job and poll docraptor_get_document_status. IMPORTANT: real documents consume account credits (billed). Set test:true to generate a FREE, watermarked document while developing. DocRaptor API: POST /docs.

  Connector

  Destructive

  No auth

• file_readA

  Local MCPB

  Reads a plain text file from the local filesystem by its absolute path — the primary, default tool for reading a local text file (use this unless the file is a PDF, Word, Excel, or PowerPoint document, which have their own readers). Reads anywhere on this Mac — home, external disks, cloud drives, /tmp — with one exception: credential and identity locations (keychains, ~/.ssh, ~/.aws, browser logins, another user's home, Time Machine backups) are never read. Supports .txt, .md, .csv, .json, .xml, .log, .yaml, .toml and common code file types; auto-detects UTF-8 with Latin-1/Windows-1252 fallback. For files in OneDrive use onedrive_read_file, in Google Drive gdrive_read_file; for PDFs pdf_read, Word word_read, Excel excel_read.

  ConnectorOAuth

• file_writeA

  Local MCPB

  Writes text to a local file — create, overwrite, or append. For .txt/.md/.csv/.json/.log and any plain-text or code file. (For Word use word_create, Excel excel_create, PowerPoint ppt_create.) Writes anywhere on this Mac, with two exceptions: files your machine runs by itself (shell startup files, LaunchAgents, git hooks, AI-client configs) and credential locations are never written. Overwriting an existing file requires confirm=true (the first call returns a preview instead); append=true adds to the end and never needs confirm. Missing parent folders are created.

  ConnectorOAuth

• extract_invoicesA

  ai-netcafeA

  Give it up to 20 invoice URLs (PDF or page images) and get back one table ready to post: number, date, seller, buyer, net / tax / gross, currency. Every row is checked in code — net + tax must equal gross — and the batch total is re-added independently, so a row the model misread is flagged with the exact difference instead of quietly landing in your books. Mixed currencies get no batch total on purpose: adding them together would be an accounting error. CSV is UTF-8 with BOM so Excel opens it right.

  ConnectorNo auth

• extract_invoicesA

  AI NetCaféA

  Give it up to 20 invoice URLs (PDF or page images) and get back one table ready to post: number, date, seller, buyer, net / tax / gross, currency. Every row is checked in code — net + tax must equal gross — and the batch total is re-added independently, so a row the model misread is flagged with the exact difference instead of quietly landing in your books. Mixed currencies get no batch total on purpose: adding them together would be an accounting error. CSV is UTF-8 with BOM so Excel opens it right.

  ConnectorNo auth

• extract_invoicesA

  netcafe-docsA

  Give it up to 20 invoice URLs (PDF or page images) and get back one table ready to post: number, date, seller, buyer, net / tax / gross, currency. Every row is checked in code — net + tax must equal gross — and the batch total is re-added independently, so a row the model misread is flagged with the exact difference instead of quietly landing in your books. Mixed currencies get no batch total on purpose: adding them together would be an accounting error. CSV is UTF-8 with BOM so Excel opens it right.

  ConnectorNo auth

• render_xlsxA

  KamyA

  Build an Excel (.xlsx) workbook from a sheet spec: columns with keys, row objects keyed to those columns, optional Excel number formats and a formula-aware total row (bare 'SUM' / 'AVG' / 'COUNT' / 'MIN' / 'MAX' expands into a real formula over the column's data range). Choose this over render_pdf when the recipient will sort, filter or recompute the numbers, and over render_docx when the content is tabular rather than prose. Returns a stored render { id, url, bytes, durationMs, format } where url is a signed download link valid for one hour; the workbook is a .xlsx, so feed the id to convert_document if the next step needs a PDF. Header rows are always bold on a tinted fill — there is no flag for it. Counts one render against the monthly quota. Requires a Kamy API key with the `render` scope; without a key, returns dashboard setup instructions.

  ConnectorNo auth