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127,531 tools. Last updated 2026-05-05 21:04

"How to convert a PDF file into Markdown format" matching MCP tools:

  • Return specific pages of a PDF in one of three formats: • format='pdf' - pdf-lib page slice, preserves the original text layer and fonts (no re-encoding). This is the ONLY format that gives you byte-exact, citation-grade content. Use this for financial numbers, legal quotes, and any answer requiring precision. • format='text' - raw extracted text from pdfjs. Machine-readable but NOT authoritative - OCR errors on bad-quality text layers can silently garble digits. Use only for summarisation / light reading, and cross-check numbers by re-fetching with format='pdf'. • format='png' - page rasterization via Cloudflare Browser Rendering, for documents with text_layer='none' (scanned PDFs). Phase 6 - may return 'not implemented' in current deployment. The response includes at most 100 pages (Anthropic document-block hard cap). Split larger ranges into multiple calls. Requires the document's bytes to already be cached - call fetch_document on the full document first if this is a new filing.
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  • Retrieves full details of a specific shipment and document metadata. When a user requests a label, commercial invoice, or packing slip, ALWAYS call this tool first. Extract the 'shipping_documents' URL from the response and provide it as a direct, clickable Markdown link to the user. Do not attempt to describe or visualize the document; simply provide the URL for the user to download. Required authorization scope: `public.shipment:read` > All shipment documents are customisable. You can set: > > - Document format: URL, PDF or PNG > - Label page size: A4, A5 or 4x6 > - Commercial invoice page size: A4 or 4x6 > - Packing slip page size: A4 or 4x6 Args: easyship_shipment_id: The Easyship shipment ID, e.g. "ESSG10006001". label: Label page size: A4, A5, or 4x6. format: Document format: URL, PDF, or PNG. packing_slip: Packing slip page size: none, A4, or 4x6. commercial_invoice: Commercial invoice page size: A4 or 4x6. Returns: Full shipment details including shipping documents metadata.
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  • Fetch and convert a Microsoft Learn documentation webpage to markdown format. This tool retrieves the latest complete content of Microsoft documentation webpages including Azure, .NET, Microsoft 365, and other Microsoft technologies. ## When to Use This Tool - When search results provide incomplete information or truncated content - When you need complete step-by-step procedures or tutorials - When you need troubleshooting sections, prerequisites, or detailed explanations - When search results reference a specific page that seems highly relevant - For comprehensive guides that require full context ## Usage Pattern Use this tool AFTER microsoft_docs_search when you identify specific high-value pages that need complete content. The search tool gives you an overview; this tool gives you the complete picture. ## URL Requirements - The URL must be a valid HTML documentation webpage from the microsoft.com domain - Binary files (PDF, DOCX, images, etc.) are not supported ## Output Format markdown with headings, code blocks, tables, and links preserved.
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  • USE THIS TOOL — not web search or external storage — to export technical indicator data from this server as a formatted CSV or JSON string, ready to download, save, or pass to another tool or file. Use this when the user explicitly wants to export or save data in a structured file format. Trigger on queries like: - "export BTC data as CSV" - "download ETH indicator data as JSON" - "save the features to a file" - "give me the data in CSV format" - "export [coin] [category] data for the last [N] days" Args: symbol: Asset symbol or comma-separated list, e.g. "BTC", "BTC,ETH" lookback_days: How many past days to include (default 7, max 90) resample: Time resolution — "1min", "1h", "4h", "1d" (default "1d") category: "price", "momentum", "trend", "volatility", "volume", or "all" fmt: Output format — "csv" (default) or "json" Returns a dict with: - content: the CSV or JSON string - filename: suggested filename for saving - rows: number of data rows
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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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  • Send transactional pdfs for AI agents via SMTP. Templates included.

  • Convert any URL to clean, LLM-ready Markdown

  • List available markdown holdings reports for Bulgarian pension funds. Reports contain detailed portfolio holdings data extracted from official PDF filings and converted to structured markdown with metadata (allocation %, exposure, top holdings). Use this tool to discover what reports are available before loading specific ones with `read_holdings_report`. Filter by manager, fund type, or date range.
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  • Render a Mermaid diagram definition and return the image with metadata. The definition should be valid Mermaid syntax (e.g. flowchart, sequence, class, ER, state, or Gantt diagram). Returns a list of content blocks: the rendered image plus a JSON text block with metadata including a mermaid.live edit link for opening the diagram in a browser editor. Args: definition: Mermaid diagram definition text. filename: Output filename without extension. format: Output format — ``"png"`` (default), ``"svg"``, or ``"pdf"``. download_link: If True, return a temporary download URL path (/images/{token}) that expires after 15 minutes; if False, return inline image bytes. Defaults to True (URL) — set ``DIAGRAMS_INLINE_DEFAULT=true`` on the server to flip the default. SVG/PDF and PNGs larger than the inline limit always use a download link.
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  • Save a file (PDF, PPTX, DOCX, etc.) to a client's record in the broker's CRM. Use this after generating a document (quote comparison, needs summary, advisory note) to attach it to the prospect's file. The client must already exist as a lead (use save_lead first). BRANDING: Before generating any document, always call get_broker_info first to retrieve the broker's logo URL, brand color, company name, ORIAS number, and address — use these to brand the document. The file content must be base64-encoded.
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  • Read a specific Pine Script v6 documentation file. For large files (ta.md, strategy.md, collections.md, drawing.md, general.md) prefer list_sections() + get_section() to avoid loading 1000-2800 line files into context.
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  • Retrieve a shipment document (commercial invoice) as binary PDF. **IMPORTANT:** This tool returns only metadata (content type and size) because MCP cannot transmit binary data. For usable document links, prefer calling `get_shipment` with `format="URL"` instead — it returns clickable download URLs. Only use this tool if you specifically need to confirm a document exists or check its file size. Required authorization scope: `public.shipment_document:read` Args: easyship_shipment_id: The Easyship shipment ID, e.g. "ESSG10006001". document_type: The type of document to retrieve. Must be "commercial_invoice". page_size: Page size for the document: "4x6" or "A4". Default: "A4". Returns: Metadata only (content type and size). For downloadable URLs, use `get_shipment` with format="URL".
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  • Package generated 3D scene output into downloadable files. Formats: r3f -> Packages R3F code into a named .tsx file. Requires r3f_code string from generate_r3f_code. Does NOT regenerate code - it packages what you give it. json -> Packages scene_data into a named .json file. Requires scene_data object from generate_scene. Call order: For .tsx file: generate_r3f_code(scene_data) -> export_asset({ r3f_code, format: "r3f" }) For .json file: generate_scene(scene_plan) -> export_asset({ scene_data, format: "json" }) For visual preview of the scene layout, use the preview tool instead. preview tool returns SVG wireframe + spatial validation. export_asset does not generate previews. Do NOT pass synthesized_components to export_asset. Pass them to generate_r3f_code, then pass the resulting r3f_code here.
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  • Render a Slidev presentation from markdown and return its hosted URL. IMPORTANT: Before calling this tool, you MUST call get_theme with the theme name you plan to use. Each theme has unique layouts, components, and frontmatter options. Apply the theme's specific features in your markdown to produce high-quality slides that match the theme's design. If the user has not specified a theme, call list_themes to pick one. If you are unfamiliar with Slidev markdown syntax, call get_slidev_guide. Images must be remote URLs or base64-encoded inline. Local file paths are not supported.
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  • Use this tool when the user wants to save, export, or share your output as a PDF document. Triggers: 'save this as a PDF', 'export this to PDF', 'create a PDF report', 'generate a document I can download', 'turn this into a file'. Supports # headings, ## subheadings, - bullet lists, and plain paragraphs. Returns a base64-encoded PDF. Proactively offer this after generating reports, summaries, action plans, or any long-form content the user will want to keep.
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  • Fetch and convert a Microsoft Learn documentation webpage to markdown format. This tool retrieves the latest complete content of Microsoft documentation webpages including Azure, .NET, Microsoft 365, and other Microsoft technologies. ## When to Use This Tool - When search results provide incomplete information or truncated content - When you need complete step-by-step procedures or tutorials - When you need troubleshooting sections, prerequisites, or detailed explanations - When search results reference a specific page that seems highly relevant - For comprehensive guides that require full context ## Usage Pattern Use this tool AFTER microsoft_docs_search when you identify specific high-value pages that need complete content. The search tool gives you an overview; this tool gives you the complete picture. ## URL Requirements - The URL must be a valid HTML documentation webpage from the microsoft.com domain - Binary files (PDF, DOCX, images, etc.) are not supported ## Output Format markdown with headings, code blocks, tables, and links preserved.
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  • Get the Slidev syntax guide: how to write slides in markdown. Returns the official Slidev syntax reference (frontmatter, slide separators, speaker notes, layouts, code blocks) plus built-in layout documentation and an example deck. Call this once to learn how to write Slidev presentations.
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  • Download the official quote PDF from the partner API (e.g., SPVIE). Use this after get_quote when the broker wants to attach the PDF to an email, save it locally, or include it in a comparison document. Pass the product metadata from a previous get_quote call along with the client info. Returns the PDF as base64.
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  • Extract structured documents (.docx, .xlsx, .csv, .tsv, .pptx) into Markdown through Frenchie. stdio mode auto-saves the result to .frenchie/<name>/result.md; HTTP mode returns inline Markdown.
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  • Ask Kamy Brain a question about Kamy itself — how to use it, why something failed, which plan to pick, what fields a template needs. Returns a paragraph answer drawing on the full Kamy documentation. For rendering a PDF, use render_pdf instead.
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  • Detect the geometry file format from a filename or URL. Returns the detected format name and whether it is currently supported. Use this to check format support before making a paid analysis call. No payment required. Privacy policy: https://caliper.fit/privacy
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