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605,722 tools. Updated 2026-09-24 03:23

"How to interact with Excel files" matching MCP tools:

  • 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.
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  • WORKFLOW: Step 3 of 4 - Generate Terraform files from completed design Generate Terraform files from an InsideOut session that has completed infrastructure design. ⚠️ PREREQUISITE: Only call this AFTER convoreply returns with `terraform_ready=true` in the response metadata. DO NOT call this while convoreply is still running or before terraform_ready is confirmed! If you get 'session has not reached terraform-ready state', wait for convoreply to complete first. 🎯 USE THIS TOOL WHEN: convoreply has returned with terraform_ready=true, OR the user asks to 'see the terraforms', 'generate terraform', 'show me the code', etc. **DEFAULT RESPONSE**: Returns summary table + download URL (keeps code out of LLM context). **FALLBACK**: Set `include_code: true` to get full code inline if curl/unzip fails. **CRITICAL WORKFLOW** (default mode): 1. Call this tool to get file summary and download URL 2. ASK the user: 'Where would you like me to save the Terraform files? Default: ./insideout-infra/' 3. WAIT for user confirmation before running the download command 4. Run the curl/unzip command with the user's chosen directory 5. If curl/unzip FAILS (sandbox, security, platform issues), retry with `include_code: true` **AFTER GENERATION**: Ask user if they want to review the files and then deploy with tfdeploy REQUIRES: session_id from convoopen response (format: sess_v2_...). OPTIONAL: include_code (boolean) - set true to return full code inline as fallback. 💡 TIP: Examine workflow.usage prompt for more context on how to properly use these tools.
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  • WORKFLOW: Step 3 of 4 - Generate Terraform files from completed design Generate Terraform files from an InsideOut session that has completed infrastructure design. ⚠️ PREREQUISITE: Only call this AFTER convoreply returns with `terraform_ready=true` in the response metadata. DO NOT call this while convoreply is still running or before terraform_ready is confirmed! If you get 'session has not reached terraform-ready state', wait for convoreply to complete first. 🎯 USE THIS TOOL WHEN: convoreply has returned with terraform_ready=true, OR the user asks to 'see the terraforms', 'generate terraform', 'show me the code', etc. **DEFAULT RESPONSE**: Returns summary table + download URL (keeps code out of LLM context). **FALLBACK**: Set `include_code: true` to get full code inline if curl/unzip fails. **CRITICAL WORKFLOW** (default mode): 1. Call this tool to get file summary and download URL 2. ASK the user: 'Where would you like me to save the Terraform files? Default: ./insideout-infra/' 3. WAIT for user confirmation before running the download command 4. Run the curl/unzip command with the user's chosen directory 5. If curl/unzip FAILS (sandbox, security, platform issues), retry with `include_code: true` **AFTER GENERATION**: Ask user if they want to review the files and then deploy with tfdeploy REQUIRES: session_id from convoopen response (format: sess_v2_...). OPTIONAL: include_code (boolean) - set true to return full code inline as fallback. 💡 TIP: Examine workflow.usage prompt for more context on how to properly use these tools.
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  • 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.
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  • Patch or replace files on an existing site. Defaults to patch mode: only the listed files change; everything else stays. Pass mode:'replace' to wipe-and-replace the whole site (the legacy behaviour, surfaced explicitly so it can't happen by accident). Use `delete: [paths]` in patch mode to remove specific files without wiping the rest. Use `dryRun: true` to preview the diff before committing. LARGE FILES: a 100-250 KB text file fits in one call with encoding:'gzip+base64' (gzip locally, base64 the result) — prefer that over begin_deploy + add_file_chunk streaming. Errors if the site does not exist.
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    Destructive
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  • 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.
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  • Inspect the files of an EXISTING artifact: list them, search their text, read them, or review the commit history. Works with no shell, no git and no network access, so prefer it whenever you cannot run git. Pass the sessionId (the last path segment of a .../chat/<sessionId> URL). A canvasDraft field, when authorized, reports an uncommitted Canvas draft. Use action draft to inspect its projection overlay explicitly; ordinary reads remain committed files. Draft access requires write permission. Typical flow to change something: action "search" to find the file, action "read" for the files you will edit, then artifact-edit. Every response includes "revision", the artifact's current commit — pass it back as artifact-edit's baseRevision. Use action "read" with a "revision" to see how a file looked at an earlier commit (this is how you undo something). Assets — images, fonts, media — are readable too: action "read" answers with size, mime and oid under "asset": true whenever a file's bytes are not text, instead of content. That check is on the bytes, so it is the authority: an SVG reads as text, and a file with an unfamiliar extension may still come back as an asset. When a search comes back empty, check "notSearched": "assets" counts binary files a text query can never match, and "excluded" counts files under node_modules, dist or build — re-run with includeExcluded true to search those. A "tree" listing also maps any path artifact-edit cannot change under "unwritable". For generation or build progress use artifact-status instead; this shows the commit log, not build state.
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  • Export a matched company set as downloadable CSV files (lead lists). Read-only over company data; each call writes new short-lived export files (auto-deleted after ~1 day). Parameters: - filters (optional): EXACTLY the same unified filters as search_companies. - sort (optional): same as search_companies (applies where the country supports the field). - max_rows (optional, default 1000, max 10000): per-country row ceiling. - country (optional, default "all"): "AT" | "DE" | "all". Returns {countries: {<code>: {download_url, rows, columns, ...}}, notices}. ONE CSV per country (semicolon-separated, UTF-8 BOM, Excel-ready): each register exports its own column set - DE files have no financial columns yet (blank would wrongly read as zero). Download links are signed and valid ~60 minutes. A filter a country does not support excludes that country with a notice, like search_companies. For browsing/ranking on screen use search_companies instead.
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  • Read what a GRADUATED app actually SERVES right now — not the seed captured before it graduated. Without path: the list of files in the served version, with their size, and whether each one is server code. With path: that file's content, INCLUDING server.js — which is deliberately never served to visitors. Use this before dropyour_replace: a graduated app is replaced WHOLE, so you need its current files to avoid overwriting your own work. Large files are truncated (truncated=true, bytes reports the real size); binary files are reported as binary rather than mangled. Tier 4 only — at tiers 1-3 what the drop serves IS what you published, so use dropyour_read_content.
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  • Read one file attached to a wiki page — its bytes, base64-encoded — identifying the page by 'pageId' or by 'spaceKey' + 'title' and the file by 'filename' as get_wiki_page lists it. This is how a file is copied from one page to another: read it here, write it with add_wiki_attachment. The bytes travel as text through the conversation and cost roughly a third more than the file itself, so there is a size ceiling; for anything larger — or for putting the file on disk — the pm-files MCP server saves it to a path instead (local_files_setup says how to connect it). Reading needs only permission to see the page.
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  • Built-in product help — ask a natural-language "how do I…" question about Fastio and get a grounded, product-aware answer (or a short clarifying question) back in one call. EXPLAIN-ONLY / ADVISORY: it returns GUIDANCE TEXT and performs NO platform action (it will not create shares, move files, or change anything) — read the guidance, then act with the other tools. Answers are grounded in Fastio's own how-to knowledge AND phrased in terms of these MCP tools — they name the concrete `<tool> action="…"` calls to make — so prefer this over guessing endpoints or burning exploratory calls. For Q&A over YOUR uploaded files (RAG) use the `ai` tool instead — `how-to` answers questions about Fastio ITSELF. FREE and requires only an authenticated user (no org, no plan gate, no billing). Call action='describe' for the full action/param reference.
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  • 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.
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  • Gera um relatório do CIGAM (operação LENTA, ~2 min, produz um arquivo Excel). Espera inline até `aguardar_segundos`; se não ficar pronto, retorna um `job_id` (busque depois com cigam_job, sem ficar repetindo). Retorna `arquivo_url` (link temporário do Excel). Ex. de report_id: REL_201 (Vendas por Período), REL_610 (posição atual de estoque). Bulk support: accepts report_ids for batched execution.
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  • Check the status of a file upload created by files-create_upload_url. Returns status: 'pending' (not uploaded yet), 'completed' (file attached, includes file metadata), or 'expired' (link timed out). Required: token (string, from files-create_upload_url response).
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  • Runs JavaScript code to interact with the Mux API. You are a skilled TypeScript programmer writing code to interface with the service. Define an async function named "run" that takes a single parameter of an initialized SDK client and it will be run. For example: ``` async function run(client) { const asset = await client.video.assets.create({ inputs: [{ url: 'https://storage.googleapis.com/muxdemofiles/mux-video-intro.mp4' }], playback_policies: ['public'] }); console.log(asset.id); } ``` You will be returned anything that your function returns, plus the results of any console.log statements. Do not add try-catch blocks for single API calls. The tool will handle errors for you. Do not add comments unless necessary for generating better code. Code will run in a container, and cannot interact with the network outside of the given SDK client. Variables will not persist between calls, so make sure to return or log any data you might need later. Remember that you are writing TypeScript code, so you need to be careful with your types. Always type dynamic key-value stores explicitly as Record<string, YourValueType> instead of {}.
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  • Analyze multiple geometry files in a single batch request. Submit up to 10 files, receive a single quote, pay once, and get structured metadata for all files. Supports mixed formats. Read-only analysis — does not modify, convert, or repair files. Payment is required via x402 (USDC on Base) or card via MPP (Stripe). If no payment is provided, the response includes the total price and per-file breakdown. Retry with the payment argument containing "transaction", "network", and "priceToken". Partial success: if some files fail processing, you still receive results for the files that succeeded. Privacy policy: https://caliper.fit/privacy
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  • 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
  • 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
  • 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
  • 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
  • AZURE DEVOPS ONLY -- Reads the ACTUAL CONTENT of a file attached to a work item (Excel spreadsheet, Word document, text/CSV/JSON/XML file, or image). WHEN: a work item (FDD/RDD/CR/Bug/Task/User Story) has an Excel/Word attachment with requirements, field mappings, mockups, or specs that need to be read to understand the ask. Triggers: 'read the attachment', 'open the excel file on the work item', 'what does the attached document say', 'lis le fichier joint', 'ouvre l'excel du ticket'. Call ado_analyze_workitem first (or ado_query_workitems) to discover attachment file names if you don't already know the exact fileName. Supported: .xlsx/.xlsm (returns sheet names + a markdown table of the requested/first sheet), .docx (returns extracted markdown text + tables), .txt/.csv/.json/.xml/.md/.log (returned as-is), images (.png/.jpg/.jpeg/.gif/.bmp/.webp, returned as a base64 data URI for visual analysis, max 4 MB). Other binary formats (PDF, .pptx, .zip, etc.) are NOT parsed -- returns metadata + a manual download link instead. Max attachment size read: 25 MB. Requires DEVOPS_ORG_URL + DEVOPS_PAT env vars.
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