"Extracting Orders from PDF Files" matching MCP tools:

• create_upload_url

  ibo

  Get a short-lived presigned URL to upload one brand-asset file to IBO's private storage. Requires order_token from get_order; the storage location is bound to the order server-side. PUT the raw file bytes to url, then reference key in submit_brief files[]. Allowed: jpg png webp pdf svg mp4 mov zip ai psd; 250MB/file, 1GB per order.

  Connector

• convert_document

  Carbone MCP

  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. Use render_document instead when you need data injection ({d.field} tags), translations, or batch generation. Common conversions: DOCX → PDF (file: "report.docx", convertTo: "pdf"), 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").

  Connector

• parse_pdf_to_text

  Nordic Financial MCP

  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.

  Connector

• convert_html_to_pdf

  Sats4AI - Bitcoin-Powered AI Tools

  Convert HTML or Markdown to a pixel-perfect PDF. Returns JSON: { url } — a temporary download URL (valid ~1 hour). Great for generating invoices, reports, receipts, or formatted documents programmatically. Supports full HTML/CSS including tables, images (base64 or URL), and inline styles. For Markdown input, set format='markdown'. 50 sats per conversion. Use convert_file instead for converting existing files between formats (e.g., DOCX→PDF). Pay per request with Bitcoin Lightning — no API key or signup needed. Requires create_payment with toolName='convert_html_to_pdf'.

  Connector

• execute_code

  L&T MCP

  IMPORTANT: You MUST call this tool to generate any file. Do NOT write code as text. Do NOT tell the user to run code themselves. ALWAYS pass the code to THIS tool and return the download_url to the user. Execute Python code in an isolated Jupyter kernel and return output text + any generated files as base64 and download URLs. YOU MUST USE THIS TOOL when user asks for: - PPT / presentation / slides / deck → use python-pptx, call this tool - PDF / document / report → use reportlab, call this tool - Chart / graph / plot / visualization → use matplotlib, call this tool - Excel / spreadsheet → use openpyxl, call this tool - Word document → use python-docx, call this tool - ANY file generation task → call this tool WORKFLOW — follow exactly: 1. Write the complete Python code 2. Call THIS tool with that code 3. Get back download_url from the result files list 4. Show download_url to user as a clickable link NEVER skip step 2. NEVER output code as text to the user. Pre-installed packages (no pip install needed): python-pptx → PowerPoint presentations reportlab → PDF creation matplotlib → charts and graphs pandas → data analysis numpy → numerical computing python-docx → Word documents openpyxl → Excel files plotly → interactive charts seaborn → statistical charts Pillow → image processing pypdf → read/merge/split PDFs pdfplumber → extract text and tables from PDFs File saving rules — MUST follow: Save ALL files to current directory — NO path prefix prs.save("presentation.pptx") ← PowerPoint plt.savefig("chart.png", dpi=150) ← matplotlib chart df.to_excel("report.xlsx") ← Excel Always print() the filename after saving

  Connector

• list_orders

  Kifly — Agentic Commerce & Payments

  List a returning buyer's recent orders and their current fulfillment status — use this in a NEW session to answer 'did my order ship?' / 'where's my package?' when you don't have the original `session_id` from `checkout`. Requires the buyer's `buyer_token` (recover it via `request_buyer_code` + `verify_buyer` if you don't have one). Returns `{ orders, count }`, newest first; each order has `status` (`paid` | `shipped` | `delivered`), `items`, `amount_cents`, `placed_at`, and — once shipped — `tracking_number`, `carrier`, and a public `tracking_url`. **Pass `since` (an ISO-8601 timestamp from a previous check) to get only orders that changed since then** — surface those proactively ('your last order just shipped'). `order_id` identifies the order; `session_id` cross-references `order_status` for a single live checkout.

  Connector

• submit_decision

  bottrade

  Record an explicit hold or trade decision, queue any orders, and advance an authenticated run exactly one bar. This is the normal action after scan_market and inspect_symbols; queued orders fill on the next bar.

  Connector

• report_pdf_generate

  AurelianFlo

  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.

  Connector

• gdrive_read_file

  local-mcp

  Reads a text file from the synced Google Drive folder (.txt, .md, .csv, .json, code files...). Note: native Google Docs/Sheets/Slides sync as .gdoc/.gsheet pointers, not real files — export them from Drive or read Office/PDF copies instead. Auto-detects UTF-8 with Latin-1/CP1252 fallback.

  Connector

• document.extract_text

  api

  Extract plain text from a PDF or image (base64-encoded). Use when you need raw text for downstream AI analysis (summarization, claim checking, structured extraction). For documents at a public URL, use url.extract instead (no base64 encoding needed). Returns: { pages: number, text: string } Example prompts: - "Extract the text from this scanned contract so I can search it." - "Give me the raw text from this PDF document." - "OCR this image and return the text content."

  Connector

• document.extract_tables

  api

  Extract tables and forms as Markdown from a PDF or image (base64-encoded). Use when the document contains structured tabular data such as financial statements, data sheets, or forms. For plain prose documents, use document.extract_text instead. Returns: { pages: number, text: string } — text contains Markdown-formatted tables. Example prompts: - "Extract the tables from this financial statement." - "Pull the data table from this PDF into Markdown format." - "Get the tabular data from this form document."

  Connector

• merge_pdfs

  Sats4AI - Bitcoin-Powered AI Tools

  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'.

  Connector

• explain_plan

  sqlai.dev SQL Verifier

  Return the engine-native query plan for a query (SQLite: EXPLAIN QUERY PLAN) plus full-table-scan warnings. Use it to check whether an index would be used before recommending one. Example: "SELECT * FROM orders WHERE status=?" on an unindexed column → plan ["SCAN orders"], warning about the full scan.

  Connector

• create_media_post

  Wiplash

  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.

  Connector

• order_edit

  Kash.click

  Modify an existing order by its ID. Use the payment field to control the order state: -2 = keep as unvalidated quote (not paid); -1 = validate as invoice without payment; a payment method ID (from data_list_payments_modes) = record an actual payment and validate the order. Use paymentAmount to specify a partial payment amount (omit for full payment). Items can only be added or changed on unvalidated orders. Once validated, only payments can be recorded. Returns the orderID, a payment link, and a PDF invoice or quote URL.

  Connector

• palette_pdf

  Colour Memory

  Generate a premium branded PDF specification sheet from a palette of archive entries. Returns a downloadable PDF with full-bleed colour panels, archive names, provenance notes, RAL nearest match, LRV, chroma, WCAG contrast data, and Colour Memory branding. Pass the entries array from query_hex or palette_from_concept directly. Use this to create client deliverables, specification sheets, and print assets.

  Connector

• publish_site

  boomurl

  Create or update (idempotent) a static site the key owns. `files` maps relative path -> file contents. No index.html required — a lone .md/.txt/.pdf becomes a page; index.html is the front door when present. Returns the live URL. Requires a key from create_publish_key.

  Connector

• batch_upload_pdf

  KDAN PDF

  Upload multiple PDF files from ChatGPT file attachments (download URLs). 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. 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.

  Connector

• data_list_orders

  Kash.click

  List either: unvalidated orders (called quotes) with creation date between from_date_ISO8601 and to_date_ISO8601 OR validated orders (called orders, invoices) with date of value between from_date_ISO8601 and to_date_ISO8601. You can also filter delivery methods (using filterDeliveryMethod).

  Connector

• document.extract_tables

  DocImprint

  Extract tables and forms as Markdown from a PDF or image (base64-encoded). Use when the document contains structured tabular data such as financial statements, data sheets, or forms. For plain prose documents, use document.extract_text instead. Returns: { pages: number, text: string } — text contains Markdown-formatted tables. Example prompts: - "Extract the tables from this financial statement." - "Pull the data table from this PDF into Markdown format." - "Get the tabular data from this form document."

  Connector