"MCP server for reading and analyzing multi-sheet Google Spreadsheets" 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

• sheet_readA

  SumOffice — real Word and Excel for agentsA

  Read a rectangular range like A1:F20 (max 60 rows × 26 columns): values and formulas. Empty cells are omitted. ALWAYS pass "sheet" with the exact tab name when the workbook has more than one sheet — without it you read whichever sheet happens to be open, and the answer will quietly be about the wrong sheet. Call sheet_describe first if you do not know the tab names.

  ConnectorNo auth

• list_sheetsA

  Bilig WorkPaperA

  Discover sheet names and used dimensions before reading or editing a WorkPaper. Returns metadata only; use read_range or read_cell for values.

  ConnectorNo auth

• getInstagramPostInteractingUsersA

  Social Media Search API — Twitter, Instagram, Reddit, TikTok (XPOZ)A

  Get USER PROFILES of people who interacted with an Instagram post. Returns full user data (bio, followerCount, followingCount, etc.). RETURNS USER PROFILES: id, username, fullName, biography, followerCount, followingCount, isVerified, profilePicUrl. Use for analyzing WHO engaged with a post. NOT FOR COMMENT TEXT: To read the actual comment content (what people wrote), use getInstagramCommentsByPostId instead. INTERACTION TYPES: "commenters" (users who commented), "likers" (users who liked). WHEN TO USE THIS TOOL: Analyzing commenters/likers demographics, finding influencers who engaged, building audience profiles, network analysis of who interacts with posts. WHEN TO USE getInstagramCommentsByPostId: Reading comment text, sentiment analysis of what was said, analyzing discussion content. FAST (default, omit responseType or responseType="fast"): Returns up to 300 results directly (use limit param to reduce, e.g. limit=5). Auto API fallback for commenters when stale. PAGING (responseType="paging"): Async paginated results (1000 users per page with default fields), returns operationId - IMMEDIATELY call checkOperationStatus to get results. CSV export included via dataDumpExportOperationId. Supports pageNumber/tableName for subsequent pages. Optional fields (default: ["id", "username", "fullName"]). Available: biography, isPrivate, isVerified, followerCount, followingCount, mediaCount, profilePicUrl. This is a safe, read-only tool for analyzing searchable information.

  ConnectorOAuth

• get_pdfA

  turnaleA

  The printable PDF itself, returned as a base64 embedded resource — use this when the organiser wants the file handed to them and your client cannot fetch URLs. Default "sheet": the merged tournament document (match sheet with write-in score boxes, player sheet, standings/results when they exist). "results" and "plan" are deprecated pre-merge variants kept for comparison. For a lighter response, get_pdf_link returns download URLs instead.

  ConnectorNo auth

• propose_changeA

  toffuA

  Stage campaign changes for review. Does NOT execute anything. Each operation: {"platform": "google_ads"|"meta_ads", "level": "campaign"|"ad_set"|"ad" (default campaign; ad_set = Google ad group), "object_id": "<id of that object>", "set": {"daily_budget": <number, MAJOR account-currency units>, "status": "ACTIVE"|"PAUSED"}, "account_id": optional, for multi-account companies}. daily_budget: Meta campaign or ad set, Google campaign only (Google ad group spend is governed by the campaign budget). Ads take status only. Returns proposal_id + a current→new diff preview. Show the preview to the user; call apply_change(proposal_id) only after they confirm. Proposals expire in 1h.

  ConnectorAPI key

• getInstagramCommentsByPostIdA

  Social Media Search API — Twitter, Instagram, Reddit, TikTok (XPOZ)A

  Get COMMENT CONTENT (text, likes) for an Instagram post. Returns the actual comment objects with text and metadata. RETURNS COMMENT DATA: id, text, username, createdAtDate, likeCount, childCommentCount. Use for reading what people said. NOT FOR USER PROFILES: To get detailed user profiles (bio, followerCount, followingCount) of commenters, use getInstagramPostInteractingUsers with interactionType="commenters" instead. IMPORTANT: postId must be in strong_id format (e.g., "3606450040306139062_4836333238") - use the full "id" value from other Instagram tools, NOT just the media_id. FAST (default, omit responseType or responseType="fast"): Returns up to 300 results directly (use limit param to reduce, e.g. limit=5). Auto API fallback for fresh data. PAGING (responseType="paging"): Async paginated results (100/page), returns operationId for polling via checkOperationStatus. Supports pageNumber/tableName for subsequent pages. CSV (responseType="csv"): Async single CSV download, returns operationId, poll for S3 link. CODE EXECUTION: For csv mode, download CSV and use code execution to analyze full dataset. Ideal for: sentiment analysis, reading discussions, analyzing comment content, engagement patterns. Date filters: OMIT startDate/endDate parameters by default. ONLY pass these if user explicitly requests specific date range (YYYY-MM-DD format). IMPORTANT!!!!!: THE CURRENT YEAR IS 2026. When user requests relative dates (last week, last month), verify the current date from your system context and double-check the calculated dates - models often get the year wrong, searching one year earlier than intended. Optional fields: ["id", "text", "username", "createdAtDate", "likeCount"]. This is a safe, read-only tool for analyzing searchable information.

  ConnectorOAuth

• getTiktokCommentsByPostIdA

  Social Media Search API — Twitter, Instagram, Reddit, TikTok (XPOZ)A

  Get COMMENT CONTENT (text, likes) for a Tiktok post. Returns the actual comment objects with text and metadata. RETURNS COMMENT DATA: id, text, username, createdAtDate, likeCount. Use for reading what people said. FAST (default, omit responseType or responseType="fast"): Returns up to 300 results directly (use limit param to reduce, e.g. limit=5). Auto API fallback for fresh data. PAGING (responseType="paging"): Async paginated results (100/page), returns operationId for polling via checkOperationStatus. Supports pageNumber/tableName for subsequent pages. CSV (responseType="csv"): Async single CSV download, returns operationId, poll for S3 link. CODE EXECUTION: For csv mode, download CSV and use code execution to analyze full dataset. Ideal for: sentiment analysis, reading discussions, analyzing comment content, engagement patterns. Date filters: OMIT startDate/endDate by default. ONLY pass if user explicitly requests date range. IMPORTANT!!!!!: THE CURRENT YEAR IS 2026. When user requests relative dates (last week, last month), verify the current date from your system context and double-check the calculated dates - models often get the year wrong, searching one year earlier than intended. Optional fields: ["id", "text", "username", "createdAtDate", "likeCount"]. This is a safe, read-only tool for analyzing searchable information.

  ConnectorOAuth

• well_append_rows_to_drive_sheetA

  WellA

  Add rows at the end of a log sheet that Well keeps in the Well folder of the workspace's connected Google Drive. Call it when the user asks to log, record or add rows to a Google Sheet. Well can write only to a sheet it created in its own Drive folder. `sheet_name` names that sheet: the first call with a new name creates it in the Well folder, and every next call with the same name adds rows to the same sheet. Well cannot write to a sheet the user made or picked: say so and offer a Well log sheet instead. Pass `rows`: one array of cells per row, in column order. Every cell is stored as typed; a value that starts with "=" stays text. The user confirms on a card before the rows are added. When each row carries an id that names it, such as a transaction id, pass `key_column`: the number of the column that holds the id, 1 for column A. Well then reads that column of the sheet and adds only the rows whose id is not in it yet, and a row whose id repeats an earlier row of the same call is added once. So a repeated call, or a call whose window overlaps an earlier one, adds each row once. Two calls at the same moment on the same sheet can both add a row with the same id. The result gives `rows_appended` and `rows_skipped`, the rows left out because their id was in the sheet or earlier in the call. `outcome: "already_logged"` means every row was already in the sheet: it is a success, and no row was added. `outcome: "too_many_rows_to_check"` means the sheet holds more than 20000 rows, empty rows included, so Well cannot check it: no row was added, so offer a sheet with a new name. Without `key_column`, each call adds its rows once more, so never repeat a call that returned `appended`. Only the member who connected Google Drive can write to it; a call by another member returns `outcome: "not_connection_owner"`. When the caller connected several Drive accounts, the call returns `outcome: "connection_choice_needed"` with `workspace_connector_ids`: ask which one, then call again with `workspace_connector_id`. Tell the user the `message` the result carries and give `web_view_link` when present. On `needs_reconnect`, ask the user to reconnect Google Drive. On `unconfirmed`, ask the user to check the sheet before a new try. When the token authorizes one workspace, call this directly — no workspace call is needed first. When it authorizes several, this read will not guess which one you mean: pass `workspace_id` on the call.

  ConnectorNo auth

• gdrive_delete_fileA

  Local MCPA

  Deletes a file or an empty folder from the synced Google Drive folder — Google Drive for Desktop syncs the deletion to the cloud (the item lands in Drive's trash). Deleting a .gdoc/.gsheet/.gslides pointer removes the real Google Doc/Sheet/Slides. Never deletes a folder that still has contents. First call returns a preview of what was actually found at that path; pass confirm=true to delete.

  Connector

  Destructive

  OAuth

• read_fileA

  ShareWatchA

  Read the text content of a Google Doc, Sheet, or Slides presentation. Docs export as plain text, Sheets as CSV, Slides as plain text. For large files, returns a size warning instead of content — use max_chars and offset to read in chunks. file_id also accepts a ShareWatch handoff code of the form SW-XXXXXXXX. The user gets one by opening a file from Google Drive with ShareWatch, and it stands for that file until it goes unused for 30 days. The result always reports the real file_id, so use that value for any follow-up call rather than the code.

  ConnectorOAuth

• sim_publish_compareA

  whatifB

  Publish a multi-scenario comparison into the signed-in user's Google Sheets — sim_compare's export, the counterpart of sim_publish for a single scenario. Runs every scenario on one shared seed (the same server-enforced sharing sim_compare uses, so differences are the scenarios and not the dice) and writes a comparison table plus a trajectory chart, rather than one scenario's own data tabs. Returns the sheet URL. Counts against the same daily publish quota as sim_publish, and costs 1 token per scenario from your account's compute bucket.

  Connector

  Destructive

  OAuth

• read_file_contentA

  AccountHubA

  Read one Drive file's TEXT content by id. Google-native docs (Docs/Sheets/Slides) are exported as text (default text/plain, spreadsheets text/csv — override with export_mime_type); other files are read as UTF-8 text directly (garbles binary formats like images/PDFs — use download_file_content for those). Content is capped (large files are truncated, `truncated: true`). Needs the Drive CONTENT scope (drive.readonly) — accounts without it get a reconnect hint. Pass `account` when more than one content-capable account is connected.

  ConnectorOAuth

• get_document_fileA

  TrackberryA

  The original file of one document, for reading it yourself: a PDF comes back as the file, a picture as an image, a text or CSV file as text. Use it when get_document_data does not have the answer, to check a value against the original, or when the user asks to see or read the document. Prefer get_document_data first: it is smaller and already structured. Only documents with `downloadable` true in list_documents have a file. PDFs up to 5 MB, pictures up to 3.75 MB and text up to 200 KB can be sent; spreadsheets and other formats cannot be read here, so use get_document_data for them.

  ConnectorOAuth

• drive_readA

  ecomdlyA

  Read one Google Drive file by id (from drive_search) as text: a Google Doc or Slides as plain text, a Google Sheet as CSV (its first sheet), a text, CSV, JSON, Markdown or XML file as it is. Other files (PDF, images, Office) return their details and link only. Long files are cut; say so when you quote them.

  ConnectorNo auth

• get_full_recordA

  HandelsregisterA

  The complete multi-year record for ONE company: every balance-sheet and P&L position's full per-year history, completeness flags and lineage. Read-only. The heaviest read - use get_company_details for a normal profile. Parameters: - company_id (required): "AT:{fnr}" (bare FNR accepted). Austria only today; a German id returns a clear error (Germany does not serve a full parsed record yet). Returns the AT backend's full-record payload plus ``country`` and the prefixed ``company_id``. Includes unknown-code passthrough and the filing years covered.

  ConnectorNo auth

• drive_readA

  emdlyA

  Read one Google Drive file by id (from drive_search) as text: a Google Doc or Slides as plain text, a Google Sheet as CSV (its first sheet), a text, CSV, JSON, Markdown or XML file as it is. Other files (PDF, images, Office) return their details and link only. Long files are cut; say so when you quote them.

  ConnectorNo auth

• fastero_delete_pageA

  FasteroA

  Delete a hosted page (a dashboard is deleted with fastero_delete_dashboard). Its link stops working for everyone in the project, answering that the page was not found, and its automatic refresh stops. The widgets it read, and their queries and spreadsheets, are kept. To change what it shows and keep its link, fastero_update_page replaces its HTML in place. Answers with the page’s _id.

  Connector

  Destructive

  API key

• notebook_export_artifactA

  NotebookLM (Gemini Notebook) MCP Server by useapi.net (third-party)A

  Export a completed report to a Google Doc (destination docs) or a data table to a Google Sheet (destination sheets) in the account's Drive; other types are refused. Returns the document's URL. On a timeout, check the account's Drive before retrying, or you may get two documents. POST /artifacts/export.

  ConnectorAPI key

• marketing_dataA

  Agentcy - Your AI Marketing AgentA

  Query marketing data and analyze any website — analytics, SEO, advertising, e-commerce, CRM, social media, site health & brand identity, competitive intelligence, content creation, and data visualization. Always use a single call, even when the question spans multiple data sources or channels (e.g., GA4 + Google Search Console + Google Ads + CRM). The server auto-routes internally to all needed sources and returns a combined response with the same depth and granularity as individual queries — do NOT split multi-source or multi-channel questions into separate calls.

  ConnectorOAuth

• dmf_transform_excelA

  ALM X++ MCP ServerA

  Transform a multi-sheet Excel (.xlsx) into DMF-ready rows using a data-driven JSON mapping -- equivalent to FO_TransformExcelForDMF. NO FO credentials required (offline transform). Provide the workbook via ONE of: sourceUrl (Blob/SharePoint SAS URL or Graph downloadUrl), filePath (local .xlsx) or fileContentBase64 (inline upload, small files only). The mappingJson spec supports: sourceSheet, targetSheet, columnMappings {source->target}, conditionalValues [{sourceColumn,matches[],values{}}], staticValues{}, deduplicateOn[] and autoGeneratedFields (array OR object keyed by sheet, e.g. {"Products V2":["PRODUCTNUMBER"]}) which are removed so FO generates them. Returns CSV (default, feed to dmf_import_file) or JSON (feed to odata_upsert_rows). Set listSheetsOnly=true to just inspect the workbook's sheet names.

  ConnectorNo auth