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316,599 tools. Last updated 2026-07-28 17:34

"A server for finding PDF documents and files" matching MCP tools:

  • 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.
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  • Search the user's files by filename and return matching documents in the deep-research result shape. ALIAS: this is the SAME search as search_files (same data, same permissions) - use it when your client requires the id/title/url search contract (ChatGPT deep research); otherwise prefer search_files for richer file metadata. Each result's id can be passed to fetch (or get_file) to read that document. Read-only; always allowed.
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  • 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.
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  • Generate a PDF or Excel document from HTML (document_content) or a URL (document_url). Exactly one of document_content / document_url is required. By default the document is HOSTED and the tool returns a { download_url } you can fetch — ideal for agents (no large binary in the response). Set hosted:false to get the raw document back as base64, or async:true to enqueue a job and poll docraptor_get_document_status. IMPORTANT: real documents consume account credits (billed). Set test:true to generate a FREE, watermarked document while developing. DocRaptor API: POST /docs.
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  • Analyze text for writing style issues: weasel words, passive voice, duplicate words, long sentences, nominalizations, hedging, filler adverbs, and research-cited AI tells. Read-only and stateless — text is analyzed in memory on the hosted server and never stored. Returns a plain-text report with each issue's line and column, the matched text, surrounding context, and the reason for AI tells; texts over 100,000 characters return an error message. This hosted server has no filesystem access — the wsc-mcp npm package adds a check_file tool for local files. It only reports issues — to auto-remove duplicate words, follow up with fix_duplicates.
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  • FREE versioned playbook of best practices for MCP/API agents (no API key, 0 units). Call FIRST when discovering this server, and again if your cached instructions may be stale. Domains: securite, documents (window-envelope quittance/IRL), cao (verifier workflow, relative sill, dormers), irl, workflow. Returns {version, domaines{…regles[{id,titre,regle,corriger}]}, urls}. Contains NO tenant data — public rules only; server-side guardrails remain authoritative. REST: GET /api/v1/agent-playbook?domaine=cao
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Matching MCP Servers

  • A
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    maintenance
    Stdio MCP server for sandboxed file access — read files, search content, safely edit with checksums, and manage file structure.
    Last updated
    5
    ISC
  • A
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    A production-ready Model Context Protocol server that bridges local document management with cloud synchronization (Notion) for AI agent integration, enabling seamless access and sync of local and cloud documents.
    Last updated
    16
    MIT

Matching MCP Connectors

  • Send transactional pdfs for AI agents via SMTP. Templates included.

  • MCP server for detecting and redacting PII (Personally Identifiable Information) in PDF documents.

  • 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.
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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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  • Detects when an LLM agent fabricated a solution instead of finding the real one. Scans for: placeholder credentials next to real ones in backups, duplicate files/directories serving the same purpose, config files with defaults when populated versions exist elsewhere, and recently created workarounds for things that already exist. Run this after every session to catch fabrication before it costs time and money.
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  • Download an official company document (PDF) from the INPI RNE registry: statutes, general-meeting minutes, filed annual accounts... Use IDs from list_french_company_documents. Returns the PDF as base64 — documents typically weigh 1-10 MB. Paid via x402 ($0.10 in USDC or EURC).
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  • List metadata for documents created on this account, most recent first (paginated). Note: DocRaptor does not retain the rendered files themselves — this returns metadata such as name, type, test flag, and creation time. DocRaptor API: GET /docs.json.
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  • Generate a brand-new PDF from HTML or Markdown and return it as base64. REST: POST /generate-pdf. For type=html, pass data = { html, css? }. For type=markdown, pass data = [ { label, content }, ... ]. Returns { filename, byteLength, pdfBase64 }.
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  • Generate a PDF from raw HTML, a public URL, or a template + JSON data. Returns the PDF as base64. Priced per document; retries with the same idempotencyKey never double-generate. The canonical way for an AI agent to turn content into a shareable, correctly-formatted PDF.
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  • Screen a batch of 2+ invoices/documents for fraud signals: fabricated GSTINs (check-digit), duplicate invoice numbers across documents, duplicate/near-duplicate files, and amount anomalies. Requires Developer tier or above.
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  • 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.
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  • Génère une quittance de loyer conforme (art. 21 loi 89-462), HTML imprimable (PDF via POST /api/v1/documents/quittance). TOUJOURS mis en page pour ENVELOPPE À FENÊTRE : destinataire à DROITE, sans libellé dans la fenêtre. Utilisez locataire_adresse (postale : rue + CP + ville) distincte de logement_adresse (bien loué). Garde-fou : refus si pas de code postal 5 chiffres.
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  • Courrier de révision de loyer IRL prêt à envoyer au locataire (HTML imprimable ; PDF via /api/v1/documents/avenant-irl). Calcule et notifie le nouveau loyer. TOUJOURS mis en page pour ENVELOPPE À FENÊTRE (destinataire à DROITE). Preférer locataire_adresse (postale) ≠ logement_adresse (bien). Garde-fou : code postal 5 chiffres obligatoire.
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