"A tool for extracting text from PDF files" matching MCP tools:

• generate_invoiceA

  Factur-X e-invoicingA

  Create a new, compliant e-invoice (Factur-X PDF/A-3, CII XML or UBL XML) from structured invoice data. Use when you have the invoice content (parties, lines, dates) and need the document. Do not use when you already have a visual PDF and a Factur-X XML to combine: call embed_xml. To check a document you did not create here, call validate_invoice; to read one, call extract_invoice. The result is validated (XSD + schematron for `check`) before it is returned; on failure the tool returns an error listing the failing rule ids (e.g. BR-CO-10, BR-FR-01) so you can fix the input and retry. Nothing is stored. Returns a text summary (number, totals, warnings) plus the document as an embedded resource: base64 PDF for facturx-pdf, XML text for cii-xml / ubl-xml.

  ConnectorAPI key

• convert_pdfA

  pdfintactA

  Convert a PDF into structured content (tables, charts, formulas, headings, body text) using a two-stage pipeline (layout detection, then a vision-language model) rather than a single VLM call on the raw PDF -- calling a VLM on a raw PDF directly is a known-unreliable pattern for numeric tables. Measured accuracy (500-page real-world benchmark of government/corporate reports, ~51,000 table values checked): tables 95.2% digit-exact, body text 88.8%. This tool reads PDFs a VLM cannot read directly, including scanned pages and PDFs with corrupted/garbled text layers (common in older Japanese academic PDFs). For scanned Japanese documents the numbers hold up (99.4% on the same benchmark). For scanned Arabic, body text does NOT: characters are dropped mid-sentence and quantities can turn into different quantities, so body blocks from scanned Arabic are always flagged confidence:"estimated" -- tables in the same documents stayed exact in our measurement. Strong on Japanese-language documents specifically; the accuracy figures above were measured on Japanese material and are not a claim about every language. Chart values are extracted but are best-effort estimates (about 52% exact match, excluding axis tick labels) and are always flagged confidence:"estimated" in the result -- do not treat estimated chart numbers as authoritative. This is a PAID, ASYNCHRONOUS, per-page-billed operation: credits are reserved from the caller's PDFIntact balance before processing starts, and the response's _meta.credits_remaining shows the balance right after reservation. Processing takes real wall-clock time (roughly 7 seconds/page; a 500-page PDF takes about 42 minutes including a multi-minute cold start), so this tool returns a job_handle immediately without waiting -- call get_result with that job_handle to poll for completion instead of calling convert_pdf again. Always pass idempotency_key; reuse the exact same value if you retry the same request, otherwise retries can double-charge and double-process. Provide the PDF either as a public https URL (source.type="url", up to ~200MB) or inline base64 (source.type="base64", up to ~20MB) -- prefer the URL form for large files. Requires sign-in (OAuth): this session is not authenticated, so calling this tool will fail until the PDFIntact account is connected and authorized.

  ConnectorNo auth

• compileA

  Pressa - LaTeX to PDFA

  Compile LaTeX source into a PDF. Returns a PDF URL, page count and compile time. USE THIS WHEN: you have LaTeX source (or a \documentclass) and no local pdflatex / TeX Live installation to run it with. This is that missing compiler, available over HTTP. Also use it whenever the user asks for a document where typesetting matters - an invoice, contract, report, letter, CV, certificate, or academic paper - since you can write the LaTeX yourself and compile it here. DO NOT USE THIS TO: convert HTML to PDF, merge, split or compress existing PDF files, or extract text from a PDF. This compiles LaTeX source and nothing else. No API key is required. Anonymous callers get a small number of compilations per day and failed attempts do not count, so you can iterate on your LaTeX for free. Send an API key in the Authorization header to raise the limits. With a key, a document over the plan's page or size limit still returns a PDF: `preview: true`, the first pages the plan allows, `total_pages`, and `plan_required` naming the plan that covers the whole document. Show the user the preview and relay `warning`; never drop pages silently. IMPORTANT: This tool compiles LaTeX, NOT plain text. You must generate complete, valid LaTeX source yourself before calling it. Do not pass plain text, markdown or JSON directly - convert them to LaTeX first, and never ask the user to write LaTeX. A minimal valid document is: \documentclass{article}\begin{document}<content>\end{document}. Escape these in body text: % & $ # _ { } and backslash. If compilation fails the response includes a `diagnosis` naming the cause and a concrete suggested fix, often a missing \usepackage. Apply it and call again yourself rather than showing the user a TeX log.

  ConnectorNo auth

• parse_pdf_to_textA

  Nordic Financial MCPA

  Download a PDF from a URL and extract all text content, page by page. Use this to read the full text of a specific document — for example, an annual report PDF linked from a search_filings result. Best combined with search_filings: use search_filings to locate the document, then parse_pdf_to_text for the full text. Do not use for PDFs that are already well-represented in the database — search_filings is faster and returns pre-ranked, relevant excerpts. Not suitable for scanned (image-only) PDFs without embedded text; those pages will be returned as "(no extractable text)". Args: pdf_url: Direct HTTPS URL to the PDF file, e.g. https://example.com/report.pdf. Must be publicly accessible; authentication-protected URLs will fail. Returns: All text from the PDF with "--- Page N ---" separators between pages. Returns an error string if the download fails, the URL does not point to a valid PDF, or the document exceeds the 60-second download timeout.

  ConnectorNo auth

• deploy_filesA

  TuqoA

  Publish a static site from files sent directly, no archive — the recommended path for generated sites. Send the full file set with index.html at the root: text as-is, binaries with encoding base64, unchanged files as {path, sha256} from get_manifest instead of content. package.json is rejected: use deploy_site for build projects.

  ConnectorOAuth

• parse_documentA

  Razi ToolsA

  Use this when the file ALREADY stores its text as characters: it decodes them and returns JSON { text, metadata } verbatim, with no guessing involved. That exactness is the whole difference from extract_text_ocr, which recovers text from pixels by guessing at glyph shapes and should only ever be pointed at a photo, screenshot or scan. Supported: .txt, decoded as UTF-8 and returned in full with metadata { format: "txt", words }; and .pdf, where the text layer is read page by page and joined with a `--- Page N ---` separator, returning metadata { format: "pdf", pages, words } — pages and words are counted from the document itself, never estimated. .docx and every other extension are rejected with 400. A scanned or photographed PDF has no text layer, so nothing can be extracted from it here; that case returns 422 with a metadata.imageOnly flag rather than an empty success, and extract_text_ocr is the tool for it. Limits: 50MB and 300 pages, over which the call returns 413; an unreadable or encrypted PDF returns 400. Layout is not preserved — no tables, columns or coordinates, just a flat string per page. The file type is decided by the filename extension, not by inspecting the bytes. 10 calls per minute per caller. There is no upload channel over MCP: pass `fileUrl`, a URL in razi.pro's own storage; third-party URLs are rejected. Obtain one by uploading the file over the REST API first (POST /api/v1/tools/execute with the file attached).

  ConnectorNo auth

• parse_documentA

  Razi Document ToolsA

  Use this when the file ALREADY stores its text as characters: it decodes them and returns JSON { text, metadata } verbatim, with no guessing involved. That exactness is the whole difference from extract_text_ocr, which recovers text from pixels by guessing at glyph shapes and should only ever be pointed at a photo, screenshot or scan. Supported: .txt, decoded as UTF-8 and returned in full with metadata { format: "txt", words }; and .pdf, where the text layer is read page by page and joined with a `--- Page N ---` separator, returning metadata { format: "pdf", pages, words } — pages and words are counted from the document itself, never estimated. .docx and every other extension are rejected with 400. A scanned or photographed PDF has no text layer, so nothing can be extracted from it here; that case returns 422 with a metadata.imageOnly flag rather than an empty success, and extract_text_ocr is the tool for it. Limits: 50MB and 300 pages, over which the call returns 413; an unreadable or encrypted PDF returns 400. Layout is not preserved — no tables, columns or coordinates, just a flat string per page. The file type is decided by the filename extension, not by inspecting the bytes. 10 calls per minute per caller. There is no upload channel over MCP: pass `fileUrl`, a URL in razi.pro's own storage; third-party URLs are rejected. Obtain one by uploading the file over the REST API first (POST /api/v1/tools/execute with the file attached).

  ConnectorNo auth

• read_pdfA

  PaperDockA

  Get the latest successful compiled PDF for an explicit entry .tex path, with a signed download link valid for at most 10 minutes, size, generation time, and freshness information. This never compiles, waits, or polls. A newer running or failed compile may coexist with an older successful PDF. Freshness is unknown unless later source changes are detected; never assume the PDF matches current or unsaved source. Download and open the PDF using a PDF-capable tool before discussing its contents or layout; a link alone is not a PDF inspection. If no result exists or it has expired, ask the user to compile in the web app. Use read_file for uploaded PDF assets.

  ConnectorOAuth

• attach_receiptA

  Caribooks (QuickBooks Online)A

  Render user-provided receipt text as a PDF transcription and attach it to a QuickBooks transaction. Intended for receipts that exist only as text, such as an email body or copied order confirmation. The PDF is visibly marked as a transcription, not an original document. Requires confirmed_by_user: true after the user explicitly requests a transcription, and full access on the connection. The receipt fields contain the original text and, when applicable, the actual email sender and subject. Does not transfer original uploaded files.

  ConnectorOAuth

• batch_upload_pdfA

  KDAN PDFA

  Upload multiple PDF files from ChatGPT file attachments. Use this when the user provides multiple file attachments in ChatGPT. Downloads each PDF from its signed URL and stores it. Returns session_id and a list of job_ids. Like upload_pdf, this ONLY works on hosts that resolve chat attachments for you (ChatGPT). On Claude and other MCP clients, call create_upload_page instead. Never invent or guess a download_url or file_id. MANDATORY WORKFLOW before calling this tool: 1. ALWAYS call check_upload_status FIRST — even if you think the files are new. 2. Only include files confirmed absent from check_upload_status. If ALL files are already uploaded, skip batch_upload_pdf entirely and reuse the existing job_ids. 3. Reuse job_ids from already_uploaded — do NOT re-upload those files. Skipping step 1 and calling batch_upload_pdf directly is FORBIDDEN. After batch_upload_pdf completes: if the user requested a comparison, call 'compare_pdfs' with the returned job_ids immediately.

  ConnectorNo auth

• pdf_to_textA

  John's EssentialsB

  PDF to Text — COPY THE WORDS OUT of a PDF: get the wording, sentences and paragraphs as plain text you can paste into an email, a document or a spreadsheet. Extract the text that is already inside a PDF and return it as a plain .txt file. Reads the PDF's existing text layer using pdftotext with a Ghostscript txtwrite fallback — it does NOT run OCR. A scanned or photographed document has no text layer, so this tool refuses it with a 422 naming pdf_ocr rather than returning an empty file; run pdf_ocr first to add a searchable text layer, then extract. Mixed documents still succeed: pages that yielded no text are reported in the X-Conversion-Notes response header instead of being dropped silently. [category: pdf]

  ConnectorOAuth

• save_file_from_urlA

  YouSpotB

  Download a file from a public http(s) URL and store it in the user's Second Brain as a file object — use when the user shares a direct link to a PDF, image, spreadsheet, or other file and asks to save, download, or keep it. The saved file shows up with their uploads and can be read afterwards with read_file. Not for web pages (that is read_web_page with save=true) and not for files behind a sign-in. Files over 50MB are refused.

  ConnectorNo auth

• render_markdownA

  makespdfA

  Render GitHub-flavored markdown to a real PDF (PDF/A-2A + PDF/UA-1 dual-compliant, tagged). **BILLED - consumes credits at the rate of 1 credit per 10 pages.** Returns JSON metadata (pageCount, creditsDeducted, creditsRemaining, artifactId) plus the PDF bytes as an embedded base64 resource. On the free plan the PDF is watermarked; paid plans render clean. Mirrors POST /api/v1/md. Run `validate_markdown` first - it is free and catches heading-hierarchy and alt-text problems before you pay to render them. There is no free markdown preview: markdown needs no layout iteration, so this is the only markdown render tool.

  ConnectorNo auth

• regex_testA

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

  Test a regular expression pattern against an input string and return all matches with their index positions and named capture groups. Use for validating user inputs, extracting structured data from text, or debugging regex patterns. Supports flags g, i, m, s, u, y. The match runs in an isolated thread with a 500 ms budget: a pattern that blows up (catastrophic backtracking, e.g. "(a+)+$") comes back as redos_detected:true — a real ReDoS verdict on your pattern — instead of hanging.

  ConnectorNo auth

• report_pdf_generateA

  AurelianFloA

  Return an inline PDF artifact from supplied report_meta, tables, metrics, and summary content; this read-only renderer does not persist hosted files. Use this only when a structured report payload already exists; use report_docx_generate for editable Word output or compliance_edd_report to build the memo first.

  ConnectorNo auth

• onedrive_read_fileA

  local-mcpA

  Reads a text file from your OneDrive synced folder. Supports .txt, .md, .csv, .json, .xml, .log and several code file types. Auto-detects UTF-8, falls back to Latin-1/Windows-1252 for legacy files (common in Latin American banking .TXT padrones). For files elsewhere on this Mac, use file_read.

  ConnectorOAuth

• merge_pdfsA

  Sats4AI - Bitcoin-Powered AI ToolsA

  Merge multiple PDF files into a single document. Preserves bookmarks, links, and formatting. Returns JSON: { url } — a temporary download URL (valid ~1 hour). Minimum 2 files, no maximum. Files are concatenated in array order. 100 sats per merge regardless of file count. Use convert_file instead if you need format conversion (e.g., DOCX→PDF). Pay per request with Bitcoin Lightning — no API key, no account needed. Requires create_payment with toolName='merge_pdfs'.

  ConnectorNo auth

• search_toolsA

  RelaystationA

  Search the full Relaystation tool catalog by keyword and get back the best matches. Use this first to find a tool, then `describe_tool` for its schema and `call_tool` to run it (or call a named hot tool directly). `query` is free text (e.g. "merge pdf", "csv to json", "send telegram"). `detail` controls how much is returned per match: "name" | "summary" (default) | "full" (with inputSchema). `limit` defaults to 5. FREE. Example: search_tools {query:"merge pdf", limit:5}

  ConnectorNo auth

• create_media_postA

  WiplashA

  Upload ChatGPT files and publish one public image/PDF gallery, audio post, or video post as a selected agent owned by the signed-in human. Use list_my_agents first. Image/PDF galleries support up to eight files; audio and video posts require exactly one matching file. Temporary file URLs are accepted only through ChatGPT file handoff and are never returned or persisted by this connector. Call only after the user confirms the exact agent, category, files, title, body, tags, alt text, and optional karma reward.

  ConnectorNo auth

• get_whitepaperA

  blobpediaA

  Read the full text of one Celestia whitepaper or research PDF by slug. Celestia papers only — not arbitrary web PDFs (use a web-search tool for those). Call list_whitepapers first to get a valid slug.

  ConnectorNo auth

• file_readA

  local-mcpA

  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