"Analyzing Large Amounts of Text" matching MCP tools:

• ledger_report_exportA

  TripleBooksB

  Export GAAP financial reports for data room / diligence: trial_balance, balance_sheet, income_statement, cash_flow. format=json (default) returns report JSON from /api/ledger/reports; format=csv returns CSV text; format=pdf returns printable HTML as base64 (open in browser → Print → Save as PDF — same as Accounting → Reports). Requires ledger.view. Use ledger_list_books for bookId (primary GAAP book). Point-in-time reports use asOfDate; income_statement and cash_flow use fromDate + toDate (default: YTD through asOfDate/toDate). cash_flow and income_statement line amounts are period activity for that window. Current holdings or amounts owed: ledger_trial_balance.

  ConnectorOAuth

• 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

• 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

• get_jobA

  FieldTranscriptA

  Check a transcription job. Returns status (queued / working / done / error) and metadata. Set include_transcript=true only once status is 'done' and you actually need the full text in context - transcripts of long videos are large.

  ConnectorNo auth

• compute_multi_source_tamA

  ideauditB

  Multi-source TAM consensus. Pass 2-3 sources of market-size text. Optional `estimateYear` per source — when supplied, the result includes yearRange and a hasStaleData flag (true if the span exceeds 5 years). Outliers are dropped by modified Z-score over the median absolute deviation when n≥4. Returns the extracted dollar amounts + consensus median + an agreement score 0..1, where 1 means every source lands within 20% of the median.

  ConnectorNo auth

• firmaradar_compare_companiesA

  FirmaradarA

  Compare key financial metrics of up to 5 Norwegian companies side-by-side across the last N years (default 5). Use for competitor analysis, benchmark research or 'which of these three companies is the strongest?' Amounts are in each company's reporting currency (see the `currencies` field; NOK for most Norwegian companies) — check it before comparing absolute amounts. `antall_ansatte` is a CURRENT-value register attribute with no per-year history: read it from the top-level `antall_ansatte` field ({orgnr: headcount}); its rows in `comparison` are always null.

  ConnectorNo auth

• diff_textA

  mcpA

  Use this when you need an exact line-level diff between two blocks of text instead of eyeballing the differences. Deterministic: same input, same output. Computes a longest-common-subsequence diff and returns every line tagged added, removed, or unchanged, plus per-category counts. Example: original "a\nb", modified "a\nB" -> added 1, removed 1, unchanged 1, with lines [{type:"unchanged",text:"a"},{type:"removed",text:"b"},{type:"added",text:"B"}]. Trailing edits produce separate removed+added lines rather than an in-place change. Inputs whose line-count product exceeds 4,000,000 are rejected as too large to diff.

  ConnectorNo auth

• foxform_export_responsesA

  FoxFormA

  Export all responses for a form as CSV text (one row per response, columns = questions). Large exports are truncated — use foxform_list_responses with pagination for very large datasets. Args: - form_id (string) Returns: raw CSV text.

  ConnectorNo auth

• foxform_export_responsesA

  FoxFormA

  Export all responses for a form as CSV text (one row per response, columns = questions). Large exports are truncated — use foxform_list_responses with pagination for very large datasets. Args: - form_id (string) Returns: raw CSV text.

  ConnectorNo auth

• search_entitiesA

  IntestaA

  Search published entities by name, domain or vertical (case-insensitive LITERAL substring; wildcard characters are treated as text). Use this instead of list_entities when the registry is large. The query must be at least 3 characters. Returns at most `limit` matches (1-50) plus `total`, the number of matching entities in the whole registry.

  ConnectorNo auth

• 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

• 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

• count_tokensA

  inktomd MCP ServerA

  Count the exact number of tokens in a text string for a specific AI model. Uses tiktoken for OpenAI models and estimates for others. Args: text: The text to count tokens for model: The AI model to count tokens for. Options: gpt-4o, gpt-4o-mini, gpt-4.1, claude-sonnet, claude-haiku, gemini-pro, gemini-flash, llama-4, deepseek-v3, mistral-large. Default: gpt-4o Returns: Token count information including count, context window, and fit status

  ConnectorNo auth

• convert_document_to_markdownA

  AgentMDA

  Convert a document you already have (PDF, DOCX, HTML, plain text) to clean, LLM-ready markdown. Pass the file contents as base64. Supports reading only part of a large document: PDF page ranges, a heading outline, a single section, or a token cap.

  ConnectorNo auth

• receipt_parseA

  x402 BazaarA

  Pull totals, IBAN, dates out of receipt text — Heuristic extraction from invoice/receipt text: totals, amounts, VAT hints, IBANs, dates, emails, invoice numbers. Not OCR — convert a scan to text first, then send it here. Required input: text. Priced $0.01 per call over x402 on Base; send a prepaid x-credit-token header for unlimited calls, or get 1 free call/day per tool. No wallet or API key required.

  ConnectorNo auth

• import_statementA

  VitafinB

  Import a bank statement (CSV text) into one account. Dry-run by default: returns every parsed row with its status (ready / duplicate / invalid). Pass commit=true to write the ready rows; they land in the review queue. Amounts are read in the account's currency.

  ConnectorOAuth

• accessibility_matrixA

  Colour MemoryA

  Accept a palette array and return every foreground/background combination with contrast ratio, AA normal, AA large, AAA normal, AAA large pass/fail grades, and a summary. Use this instead of calling accessibility_check multiple times for a palette.

  ConnectorNo auth

• loan-calculatorA

  MicroappA

  Compute the monthly payment, total interest, and total cost of a fixed-rate amortizing loan. Uses the standard amortization formula. All amounts use the same (unspecified) currency.

  ConnectorNo auth

• vector_statsA

  IA-QA — 130+ QA & Dev Tools for AI AgentsB

  Compute statistics for a float vector or matrix of vectors: mean, std, L2 norm, min, max, sparsity, top-K indices. Useful for debugging embedding quality and analyzing vector distributions in a vector DB.

  ConnectorNo auth

• accessibility_matrixA

  Colour MemoryA

  Accept a palette array and return every foreground/background combination with contrast ratio, AA normal, AA large, AAA normal, AAA large pass/fail grades, and a summary. Use this instead of calling accessibility_check multiple times for a palette.

  ConnectorNo auth