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641,051 tools. Updated 2026-10-05 12:39

"How to generate a PDF from a Markdown file" matching MCP tools:

  • Render a Markdown resume to a finished PDF using a ResumeMD template (default: classic — see list_resume_templates for all 32 ids). Returns JSON with a base64-encoded PDF and a suggested filename; decode the base64 to give the user the file. The PDF is generated in memory and never stored. For interactive editing, template switching, and color choices, send the user to resumemd.pro/editor instead.
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  • Add a document to a deal's data room. Creates the deal if needed. This is the primary way to get documents into Sieve for screening. Upload a pitch deck, financials, or any document -- then call sieve_screen to analyze everything in the data room. Provide company_name to create a new deal (or find existing), or deal_id to add to an existing deal. Provide exactly one content source: file_path (local file), text (raw text/markdown), or url (fetch from URL). Args: title: Document title (e.g. "Pitch Deck Q1 2026"). company_name: Company name -- creates deal if new, finds existing if not. deal_id: Add to an existing deal (from sieve_deals or previous sieve_dataroom_add). website_url: Company website URL (used when creating a new deal). document_type: Type: 'pitch_deck', 'financials', 'legal', or 'other'. file_path: Path to a local file (PDF, DOCX, XLSX). The tool reads and uploads it. text: Raw text or markdown content (alternative to file). url: URL to fetch document from (alternative to file).
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  • Convert any document to another format without storing a template. Supports 100+ input/output format combinations: Office documents, PDFs, images, web pages, spreadsheets, and more. The source file can be a local path, a URL, or a base64 string. Carbone tags are PRESERVED, not resolved: converting a template keeps every {d.field} intact, so this is also how you proof a template in another format (DOCX template → PDF, or DOCX → ODT while it stays a template). Use render_document instead when you need data injection ({d.field} tags resolved), translations, or batch generation. Common conversions: DOCX → PDF (file: "report.docx", convertTo: "pdf"; add converter: "I" for the fastest DOCX→PDF path), XLSX → PDF (file: "data.xlsx", convertTo: "pdf"), PPTX → PDF (file: "slides.pptx", convertTo: "pdf", converter: "O" for best fidelity), HTML → PDF (file: "page.html", convertTo: "pdf", converter: "C" for full CSS/JS rendering), DOCX → HTML (file: "doc.docx", convertTo: "html"), XLSX → CSV (file: "sheet.xlsx", convertTo: "csv"), PDF → PNG (file: "doc.pdf", convertTo: "png"), PPTX → PNG (first slide as image), MD → PDF (file: "readme.md", convertTo: "pdf").
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  • Document extraction: fetch a PDF, DOCX, or CSV by URL and get clean Markdown plus structured JSON — PDF text by page with metadata (honestly flags scanned PDFs that would need OCR), DOCX converted to real Markdown, CSV parsed to typed columns + JSON rows + a Markdown table. For agents that need document contents, not bytes. ($0.02 per call, paid via x402)
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  • Upload a PDF attachment without sending file bytes through this tool. Required: attachment.filename (local PDF path; no control characters). Optional: attachment.name only if the Common Paper attachment name should differ from the file basename; attachment.description. Do not send uploaded_by — the OAuth-authenticated MCP user is recorded as the uploader. Returns JSON with curl_command where the path is already shell-escaped — run that command exactly as returned. Do not base64-encode the PDF into this tool and do not use generate-api-key for uploads.
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  • 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.
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  • Convert PDF URLs to clean Markdown and text for RAG and LLM input. Pay per PDF on Apify.

  • Convert public PDF links into Markdown with page counts and explicit excerpt limits.

  • 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.
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  • 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.
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  • Step 2 of transcribing a file. Re-checks that the account has credits and starts the job. The backend verifies the audio was actually uploaded to S3 (via the curl command from prepare_upload) and rejects the request if it is missing. This consumes one credit. The four result files (PDF, Markdown, DOCX, CSV) are emailed to the address when processing finishes.
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  • Generate and archive the certificate PDF for a fingerprint attested in this session with `attest_hash`. The PDF is cryptographically signed, anchored in Bitcoin (OpenTimestamps) and archived server-side; this tool returns the permanent links (the PDF itself is downloadable from its URL — it is never inlined here).
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  • Get the file/PDF attachments of a single Canton Improvement Proposal (CIP): supporting documents and signed-vote-record PDFs, with filename, page count, URL, and the full text CCPEDIA has extracted from each. Many older CIPs publish the proposal ITSELF as a PDF and leave only a header block in markdown, so for those this returns the actual proposal text and get_cip returns the index entry. For the parsed who-voted-how breakdown use get_cip_votes. Canton ecosystem only. Not Cardano or other 'CIP' schemes.
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  • HTML to PDF — Convert an HTML file (.html or .htm) to PDF using LibreOffice. File upload only — URLs are not fetched. [category: pdf]
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  • Document Converter — Office & document converter — DOCX/DOC/ODT/RTF/XLSX/XLS/ODS/CSV/PPTX/PPT/ODP/HTML/EPUB/TXT → PDF plus office round-trips (csv→xlsx, docx→odt, epub→pdf) via LibreOffice; MARKDOWN → pdf/docx/html/epub/txt via pandoc with real GFM semantics (headings, lists, tables, code fences); and DOCX/HTML/PDF → MARKDOWN (the LLM-ingestion direction — turn a document into clean GFM an agent can read; PDF via text-layer extraction); plus Jupyter notebooks (.ipynb) → pdf/html/docx/md via pandoc. Pass 'from' so the converter knows the source format. For images/audio/video use convert_file; for data-text transforms use convert_data. Capability envelope: a PDF source extracts to text/markdown only (to=md) — for editable output from a PDF use pdf_to_word / pdf_to_excel / pdf_to_text / pdf_to_images. Office conversions are same-category only (Word↔Word, Sheet↔Sheet, Slides↔Slides) plus any→pdf; cross-category conversions (e.g. Word→slides, Sheet→Word) are not supported. [category: convert]
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  • Extract specified fields from a web page, PDF, or Office file as JSON, using AI. Provide 'fields' plus ONE source: a 'url', a 'pdf' (file_id or base64), or a 'file' (base64 .docx/.xlsx/.csv). Returns a JSON object mapping each field to its value, or null when absent.
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  • Upload a PDF attachment without sending file bytes through this tool. Required: attachment.filename (local PDF path; no control characters). Optional: attachment.name only if the Common Paper attachment name should differ from the file basename; attachment.description. Do not send uploaded_by — the OAuth-authenticated MCP user is recorded as the uploader. Returns JSON with curl_command where the path is already shell-escaped — run that command exactly as returned. Do not base64-encode the PDF into this tool and do not use generate-api-key for uploads.
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  • Extract the text from a PDF file at a URL and return it as markdown, page by page. Use it to read a PDF, parse a form, report, paper, invoice, or document, or convert a PDF to text. Works on PDFs with a text layer (scanned image-only PDFs return little or no text; no OCR). Price: $0.005 per successful call; failed calls are free. Free to try: a few calls a day without a key.
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  • Upload a file artifact (CV, JD, template) to teach a custom eval model. Accepts PDF/DOCX as base64. artifact_type: cv_with_notes, template, free_text, jd. label: strong, weak, or mixed (how this artifact exemplifies quality). model_id from atlas_create_custom_eval_model or atlas_list_custom_eval_models. Free.
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  • Generate a watermarked preview PDF (no credits consumed). The preview PDF is available for one-time download via the returned URL, then deleted from storage.
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  • Convert a local file to clean AI-ready Markdown. Supports PDF, Word (.doc/.docx), Excel (.xls/.xlsx), PowerPoint (.ppt/.pptx), EPUB, HTML, CSV, JSON, XML, Jupyter notebooks (.ipynb), Email files (.eml/.msg), ZIP archives (.zip), and 7-Zip archives (.7z). Provide the absolute file path. Maximum file size: 20MB.
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  • Convert a document or file (given as a URL — PDF, Office docs, and more) to Markdown text via MarkItDown. Great for feeding a document's contents back to an agent. Returns a { FileUrl } (valid ~24h). BILLED. Api2Pdf API: POST /markitdown.
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    Destructive
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  • Fetch a URL (web page, PDF, DOCX, etc.) and convert it to clean, LLM-ready markdown. Extracts the main article content from web pages and preserves tables. Supports reading only part of a large document: PDF page ranges, a heading outline, a single section, or a token cap.
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