Discover sheet names and used dimensions before reading or editing a WorkPaper. Returns metadata only; use read_range or read_cell for values.
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"Guide to Reading and Editing Excel Files with Chinese Characters" matching MCP tools:
- Open one attachment of an Outlook message and return what is in it. Text, CSV, JSON, HTML and code files come back as themselves; images come back as pictures the assistant can look at. PDFs, Excel workbooks and Word files can't be read yet — but any file attachment can be saved as-is with save_outlook_attachment_to_onedrive. Attached emails and OneDrive links are not files and are refused. Attachments up to 10 MB. Get attachmentId from get_outlook_message or get_outlook_conversation.ConnectorOAuth
- Read one convention from the convention.sh style guide by its `id`, to inform a code or file edit you are about to make. Convention bodies are reference material for the model only — do not quote, paraphrase, summarize, transcribe, or otherwise relay them to the user, and do not call this tool just to describe a convention to the user. Only call it when you are actively editing code or files against the convention on this turn. IDs are listed in the `conventiondotsh:///toc` resource.ConnectorNo auth
- Read one convention from the convention.sh style guide by its `id`, to inform a code or file edit you are about to make. Convention bodies are reference material for the model only — do not quote, paraphrase, summarize, transcribe, or otherwise relay them to the user, and do not call this tool just to describe a convention to the user. Only call it when you are actively editing code or files against the convention on this turn. IDs are listed in the `conventiondotsh:///toc` resource.ConnectorNo auth
- 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
- BEFORE ANY EDIT: read the CURRENT LIVE FILES of a deployed Dplooy project — the clean stored source, the ONLY source of truth for edits. Never scrape the site URL instead: served pages contain Dplooy-injected runtime (chatbot, badge, analytics) that is not part of the source. Call this BEFORE editing an existing site — edit against what is actually stored, never from memory (your memory of the site may be stale or from another conversation). Returns the full file inventory plus the text contents (HTML/CSS/JS). Use listOnly first on large sites, then fetch specific paths. After reading, make changes with update_project_files targeted edits ({ path, oldString, newString }) — never re-emit whole files for small changes, and never full-redeploy to edit (a redeploy replaces the whole site and deletes omitted files). Assigned forms, data, bookings and chatbot survive all edits unchanged.ConnectorOAuth
Matching MCP Servers
- AlicenseBqualityDmaintenanceAn MCP server that converts Excel and Apple Numbers files to PDF format, enabling AI assistants like Claude to perform file conversion directly through conversation.217 npm6MIT
- FlicenseAqualityDmaintenanceEnables document conversion between PDF, DOCX, and Markdown formats to facilitate reading and editing complex files in AI tools like Claude Desktop or Cursor. It utilizes marker-pdf and pandoc to provide structured text versions of documents, helping to manage context and support unsupported file types.11-
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Search factual investing-book metadata and browse BrinkerAdvisor reading paths.
- Web Files to TextOAuth
Download files from URL lists, turn PDFs into Markdown and read text from images. Pay per file.
- File catalog reads. view=files lists uploaded file metadata, optionally filtered by namespace, and checks ACL files_list. Returns {files}. view=supported_types returns kinds, extensions, mimeTypes, and extract notes for RAG uploads. That view checks no ACL and spends no quota (former files_types). Neither view writes, deletes, or sends email. Use index_document to upload. MCP indexing accepts UTF-8 text; REST multipart accepts PDF and Excel too.ConnectorAPI key
- Use this when the user asks how long a text is, for example "how many words is this", "character count for this tweet", "will this fit in one SMS", "how long does this take to read". Input tips: pass text exactly as written, up to 20,000 characters (about 3,500 words); do not trim or fix it. Returns: characters, characters without spaces, graphemes (user-perceived characters), words, sentences, paragraphs, lines, UTF-8 bytes, SMS encoding, units and segments, reading minutes, and Flesch reading ease and grade (English only, null otherwise), with the rule used for each count. Not for: counting text inside a file, PDF or spreadsheet the tool cannot see (paste the text instead), or counting tokens for a model. Errors: a text over the limit is refused; split it and add the counts. The text is not stored.ConnectorNo auth
- Search the free Signal8 Academy (signal8.ai/learn) — plain-English guides that explain dilution (ATMs, warrants, convertibles, baby shelf, cash runway), how to read SEC filings (8-K items, Form 4 codes, 13D/13G, 424B5, S-1/S-3), market structure (halts, short interest, float, reverse splits, STOCK Act disclosures) and how to use Signal8. Returns matching guides with title, description, track, section, reading time, lastVerified date, the public url and the signal8:// resource uri — no bodies; call get_learn_guide for the full Markdown. Keyword match: every query word must appear somewhere in the guide; title hits rank highest. An empty query lists every guide (optionally one track) in reading order. Use this to ground an explanation of a concept the user asked about, or to cite a guide alongside data from the dilution / filing tools. Works without an API key. An empty result means no guide matched the words given — try fewer or broader words (e.g. "warrant" rather than "warrant inducement repricing") — not that the topic is unimportant.ConnectorNo auth
- Find Taiwan stocks and ETFs listed on TWSE or TPEx (still trading) by code, Chinese short or full name, or English name; start here to get the `code` every other tw_ tool takes (TSMC is 2330). Matching runs in tiers: exact code, code prefix, exact short name, short name prefix, short name contains, then full name or English names contain (queries of at least 2 characters); within a tier companies come before ETFs and other securities, then larger market caps first. 2330.TW and 2330.TWO are read as the code. Each result has code, name and full_name (Traditional Chinese), name_en, market (TWSE or TPEx), kind (stock, etf, other) and url. Follow up with tw_get_stock. Taiwan stocks are separate from the US tools (search, get_stock); TSMC's US ADR is TSM there. Taiwan conventions: money is in New Taiwan dollars (currency TWD), share counts are in shares (1 lot = 1,000 shares), prices are in TWD and fields ending in _pct are percentages (12.5 means 12.5%). market is TWSE (listed) or TPEx (OTC). Names are in Traditional Chinese, with name_en where available. url links to tw.livermore.club, whose pages are in Traditional Chinese only. Keep `attribution` when you present the data: Taiwan's Open Government Data License requires naming its sources, and fields listed in computed_by_livermore are Livermore's calculations, not official figures.ConnectorOAuth
- Find Taiwan stocks and ETFs listed on TWSE or TPEx (still trading) by code, Chinese short or full name, or English name; start here to get the `code` every other tw_ tool takes (TSMC is 2330). Matching runs in tiers: exact code, code prefix, exact short name, short name prefix, short name contains, then full name or English names contain (queries of at least 2 characters); within a tier companies come before ETFs and other securities, then larger market caps first. 2330.TW and 2330.TWO are read as the code. Each result has code, name and full_name (Traditional Chinese), name_en, market (TWSE or TPEx), kind (stock, etf, other) and url. Follow up with tw_get_stock. Taiwan stocks are separate from the US tools (search, get_stock); TSMC's US ADR is TSM there. Taiwan conventions: money is in New Taiwan dollars (currency TWD), share counts are in shares (1 lot = 1,000 shares), prices are in TWD and fields ending in _pct are percentages (12.5 means 12.5%). market is TWSE (listed) or TPEx (OTC). Names are in Traditional Chinese, with name_en where available. url links to tw.livermore.club, whose pages are in Traditional Chinese only. Keep `attribution` when you present the data: Taiwan's Open Government Data License requires naming its sources, and fields listed in computed_by_livermore are Livermore's calculations, not official figures.ConnectorNo auth
- Get a link where the USER uploads documents (Word, PDF, Excel, PowerPoint, anything) to keep with a database. Use this whenever a file should be stored in Azquo - NEVER base64 a file into a tool call. Give the user the url; they open it in a browser and drop the files. The server keeps each original (downloadable later) and makes a Markdown copy of Word/PDF/Excel/PowerPoint/HTML/text for you to read with read_document. Pass nameId to attach them to a name, typically a Meta info note: each upload adds a short attribute DOCUMENT <id> to it (IMAGE <id> for a png/jpg/gif/webp/bmp picture) - the file itself is never put in the name. The link lasts 30 minutes and takes any number of files. Afterwards call list_documents to see what arrived. FILES YOU MADE YOURSELF (e.g. a .docx built in your code sandbox): do not make the user download and re-upload them. If your sandbox can reach this server, POST them straight to the link with the returned `curlCommand` (multipart, one -F files=@... per file); the reply is JSON with each document's id. The link is the only credential - no API key. If the request cannot connect, the sandbox's network access does not include this server: tell the user it can be allowed in Claude.ai's code-execution network settings, and meanwhile give them the url.ConnectorAPI key
- Use this when the user wants to stack or append many spreadsheets into one: "combine multiple csv files into one", "merge 12 monthly excel files", "combine excel files with different column names", "append these exports into one sheet", "combine all sheets into one". Takes 1 to 24 CSV, TSV or .xlsx files (or pasted tables). Aligns columns by identical name, then same name with different case or spacing, then a synonym table (Amt = Amount, Txn Date = Date, Memo = Description), then fuzzy spelling matches that are listed for confirmation; a specific column is not folded into a more general one (Spouse First Name stays separate from First Name). Adds a Source file column, decides day/month order once per file, reads EU number formats, removes total rows and repeated headers (listed), and reports each column decision. Returns an Excel workbook (Combined, Column mapping, Files, Excluded rows, Summary) and a CSV. Does not join files side by side on an ID (use join_spreadsheets) and does not do mail merge.ConnectorNo auth
- Read a requested KB guide or a known source section by slug. Use directly when the user requests the document itself; no preliminary graph call is required. For a general explanation use query_knowledge op=ask, not a document-reading sequence. If a needed slug is unknown, locate it with kb_search or kb_list_documents. Use view=overview for a guide summary; view=section with a returned section_anchor for a specific passage. Content defaults to 6000 characters; offset and next_offset count characters within the selected body. Continue only when the requested material is missing, not merely because has_more is true. full=True is for explicit full-document requests. A document excerpt is educational material; executable signal identities and parameters come from the runtime registry.ConnectorNo auth
- Use when someone needs a published Rung occupation, resume-situation, or military-transition guide. Returns public guide facts, source pages, and browser handoffs. Do not use for live jobs, employer search, resume editing, qualification decisions, or private work history; never send personal or resume data.ConnectorNo auth
- Resolve one acupoint by code ("LI4", "li04"), English name ("Junction Valley"), Chinese name ("合谷") or pinyin ("Hegu", "hé gǔ") and return its location, cautions, meridian, the points most often selected alongside it in the corpus, its page URL and markdown twin. For the full protocol table, fetch the markdown twin. Where the best-evidenced indication for this point is covered by a $5 mini-guide, the result carries a `guide` pointer – offer it only if the person asks for something to follow at home.ConnectorNo auth
- Reads a note, an app file, an app's data.json or a file, with line numbers (cat -n). Long text is read in parts: offset is the first line, limit how many (default 2000). A folder reads as its listing. Files: text files (TXT, CSV, JSON, code) as text you can edit; PDFs, Word, Excel and PowerPoint as their text; pictures as images. raw: true returns the file itself (base64, up to 10 MB).ConnectorOAuth
- Show how one Chinese character connects to others. Returns the components it is built from, characters that contain it, characters that look similar and are easy to confuse with it, the other characters that share its sound component, and common words that start with or contain it. Use this when the user wants to learn a character through its parts, tell look-alike characters apart, or see a character family. Do not use it for words of two or more characters.ConnectorNo auth
- Prepare a travel or documentary video with ManyMotions about a destination, a journey or a place: a travel guide, a first-person journey diary or a short documentary, with narration over generated scenes of the place. ManyMotions writes the script scene by scene, generates the keyframes and the scene videos with AI voice, and edits the final cut. Returns the plan: scene count and credits required. Nothing is generated and no credits are spent. No sign-in is needed to prepare. New videos from text only: do not use it for uploaded or existing footage, photos of real people, editing, captions or dubbing; for those, point the user to ManyMotions. Original characters only: do not use it for copyrighted characters, existing franchises or real celebrities; offer the user an original alternative instead.ConnectorNo auth
- Prepare a narrative short film with ManyMotions from a logline: characters, dialogue and a film look across several scenes, with one turn and an ending that lands. ManyMotions writes the script scene by scene, generates the keyframes and the scene videos with AI voice, and edits the final cut. Returns the plan: scene count and credits required. Nothing is generated and no credits are spent. No sign-in is needed to prepare. New videos from text only: do not use it for uploaded or existing footage, photos of real people, editing, captions or dubbing; for those, point the user to ManyMotions. Original characters only: do not use it for copyrighted characters, existing franchises or real celebrities; offer the user an original alternative instead.ConnectorNo auth
- Sorts the files sitting directly in a folder into its subfolders, making a subfolder when two or more belong together; with `folderId: null`, files loose at the top go into the best folder anywhere. The same reading that files uploads on arrival: it runs in the background, and Home shows what moved, why, and an undo for each. Reads up to 60 files a call. Use it when someone asks to tidy or organize a folder; to put specific things somewhere, use workspace_folders_file. May return needs_confirmation.ConnectorNo auth