"Understanding and Building Probability Density Functions (PDF) Models" matching MCP tools:

• download_crossrefA

  xpay Academic Research CollectionC

  Attempt to download PDF of a CrossRef paper. Args: paper_id: CrossRef DOI (e.g., '10.1038/nature12373'). save_path: Directory to save the PDF (default: './downloads'). Returns: str: Message indicating that direct PDF download is not supported. Note: CrossRef is a citation database and doesn't provide direct PDF downloads. Use the DOI to access the paper through the publisher's website.

  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

• render_resume_pdfA

  ResumeMDA

  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.

  ConnectorNo auth

• list_modelsA

  BridgeNode MCPA

  List available models and their prices — free, no payment, no authentication required. Read-only: no state changes; data is served from the server's local config, so repeated calls return identical results (idempotent). Accepts no parameters: the input schema is an empty object, and any arguments passed are ignored. Calling it without arguments returns the complete catalog with per-token prices; there is no filtering, pagination, or configuration. Use this tool to inspect models and prices before calling the paid chat_completions tool. Same data as GET /v1/models (§5.2). Do not use it to generate text (use chat_completions) or to estimate a specific request's cost (use get_price_estimate).

  ConnectorNo auth

• split_pdfA

  Razi ToolsA

  Extract page ranges from one PDF into new PDFs. One output file is produced per range: a single range returns that PDF directly, several ranges return a ZIP containing one PDF each. Over MCP you receive a link to the stored output rather than its bytes, and that link keeps working for roughly a day. Pages are copied verbatim — this does not reduce file size (use compress_pdf) and it cannot rasterise pages into images, which is a browser-only feature of razi.pro. Every output stays a PDF. 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 PDF over the REST API first, where it may instead be attached as multipart/form-data. Limited to 20 splits per hour per IP.

  ConnectorNo auth

• split_pdfA

  Razi Document ToolsA

  Extract page ranges from one PDF into new PDFs. One output file is produced per range: a single range returns that PDF directly, several ranges return a ZIP containing one PDF each. Over MCP you receive a link to the stored output rather than its bytes, and that link keeps working for roughly a day. Pages are copied verbatim — this does not reduce file size (use compress_pdf) and it cannot rasterise pages into images, which is a browser-only feature of razi.pro. Every output stays a PDF. 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 PDF over the REST API first, where it may instead be attached as multipart/form-data. Limited to 20 splits per hour per IP.

  ConnectorNo auth

• list_modelsA

  mumoA

  List the full model catalog. Returns id, provider, display name, context window, max output tokens, pricing, and a per-model `available` verdict for your account (with `unavailable_reason` when false). Nothing is filtered out — `available` is what varies by caller. Call before `create_deliberation` if the user wants specific models. Model IDs from this endpoint are what `create_deliberation`'s `models` parameter expects.

  ConnectorNo auth

• civify_tailor_cvA

  CivifyA

  Tailor a CV to a job and return tailoredCv, ATS feedback, and a finished PDF by default. Prefer resume_data if you already extracted the CV; otherwise send one original document/text input. May consume AI credits. Do not call parse first or automatically repeat tailoring. PDF failure preserves tailoredCv for export-only retry.

  ConnectorNo auth

• get_building_characteristicsA

  normiA

  Get physical building characteristics for a DVF transaction from the BDNB national building database. Returns: construction year, number of units, number of floors, wall material, roof material, primary usage, and median price/m² from BDNB's pre-2022 DVF aggregate stats. REQUIRED: transaction_id (DVF transaction ID — get this from the "id" field in search_property_transactions results) Match method: spatial proximity (nearest BDNB building within 200m). Returns null + refunds credits if no building found within 200m. Workflow: call search_property_transactions first → use an "id" from the results as transaction_id here. Example: transaction_id: "12345678" → { building: { annee_construction: 1967, nb_logements: 48, mat_mur: "beton", ... } } Cost: 2 credits

  ConnectorAPI key

• generate_imageA

  Galatic.aiA

  Generate images from a prompt. model is required by the server (400 without it): a model id from list_models, such as "flux-pro"; video models are refused. count makes 1-4 images and is charged per image. imageUrls is used only by image-to-image models, which require it; text-to-image models ignore it. Most models run in the background and return the id as job_id; a few answer at once with { images } already saved to the library. With count above 1, the status poll reports complete after the first image; find the rest with list_gallery. Spends Galatic.AI credits. Returns a job id; poll get_job_status with kind "image".

  ConnectorOAuth

• datasheetvend_extract_pinoutA

  DatasheetVendA

  Extract a component's pin/pad table from a datasheet PDF as verifiable, provenance-tracked evidence — not raw PDF text to re-interpret. Returns a PinoutEvidence document (contract pinout_evidence_v1): the canonical pins and special pads with names/types/functions. It also RESOLVES THE PACKAGE from the terminals — `package.family`, `package.variant` (e.g. SOT-223, TQFP-32) and `package.pin_count` — so use this tool to answer package-variant and pin-count questions, not extract_package_dimensions (mechanical geometry) or decode_part_number (ordering codes). A review-state flags when the result must be human-checked (e.g. no pins recovered, or the module raised warnings). Prefer this over reading the PDF yourself; trust `review.required` before acting. Runs DatasheetVend Fast Extraction: a page scout routes targeted reads of the pin tables, cross-checked against the package drawing where the document prints one, usually in seconds; `engine` names the engine on every result. If Fast Extraction cannot extract the pinout, the slower deep engine re-runs pinout alone (engine.runtime is then `monolith_rescue`; a rescue can take several minutes, so set a client timeout of 10 minutes). Only if that also fails does it come back as an error with the reason.

  ConnectorNo auth

• datasheetvend_extract_pinoutA

  DatasheetVendA

  Extract a component's pin/pad table from a datasheet PDF as verifiable, provenance-tracked evidence — not raw PDF text to re-interpret. Returns a PinoutEvidence document (contract pinout_evidence_v1): the canonical pins and special pads with names/types/functions. It also RESOLVES THE PACKAGE from the terminals — `package.family`, `package.variant` (e.g. SOT-223, TQFP-32) and `package.pin_count` — so use this tool to answer package-variant and pin-count questions, not extract_package_dimensions (mechanical geometry) or decode_part_number (ordering codes). A review-state flags when the result must be human-checked (e.g. no pins recovered, or the module raised warnings). Prefer this over reading the PDF yourself; trust `review.required` before acting. Runs DatasheetVend Fast Extraction: a page scout routes targeted reads of the pin tables, cross-checked against the package drawing where the document prints one, usually in seconds; `engine` names the engine on every result. If Fast Extraction cannot extract the pinout, the slower deep engine re-runs pinout alone (engine.runtime is then `monolith_rescue`; a rescue can take several minutes, so set a client timeout of 10 minutes). Only if that also fails does it come back as an error with the reason.

  ConnectorNo auth

• ocr_pdfA

  PDFHaul MCPA

  Call this when a PDF's text cannot be extracted, selected, or searched -- typically a scanned document or a photo of a page saved as PDF. It runs OCR and returns a new PDF with a real, selectable text layer; the original file is not modified. Do NOT use this to convert a PDF to Word or Excel -- pdf_to_word already runs OCR internally on scanned pages, so call ocr_pdf only when you need the output to stay a PDF (e.g. to make it searchable, or before another PDF-only tool). If the PDF already has a usable text layer, OCR is skipped automatically, ocrApplied is returned false, and message explains that no OCR was needed -- relay that message to the user rather than assuming OCR ran. Pass forceOcr: true to force a full re-recognition pass anyway (useful if the existing text layer is garbled). Supports 15 languages in a single pass. Use list_files or upload_from_url to obtain the fileId first.

  ConnectorOAuth

• slovenia-cadastral-deepA

  geoagenticA

  Deep parcel and building analysis for Slovenia using GURS WFS data. Returns zoning, actual use, heritage protection, road access, buildings on parcel, and utilities. USE FOR: - "Analyze parcel 3086 in Ljubljana center" - "Find buildable parcels ~500m² in Ljubljana" - "What buildings are on this parcel?" - "Find parcels near these coordinates" - "Get full details on building 1234" NOT FOR: simple parcel lookup → use slovenia-cadastre instead (faster, lighter). NOT FOR: spatial/zoning map queries → use slovenia-wfs-expert instead. SEARCH MODES — pick ONE per call: 1. PARCEL BY NUMBER (requires --parcel AND --ko) → --parcel 3086 --ko 1725 2. LOCATION SEARCH (requires --lat AND --lon, or --location) → --lat 46.058 --lon 14.501 --radius 100 → --location "Tivoli Park Ljubljana" --radius 200 3. BUILDING BY NUMBER (requires --building, optionally --ko) → --building 1234 --ko 1728 4. COMMUNITY SEARCH (requires at least --community or --size) → --community LJUBLJANA --size 500 --buildable COMMON KO IDs: 1725 = Ljubljana center 1728 = Ljubljana Šiška 1740 = Ljubljana Bežigrad 2131 = Maribor NOTE: This tool makes multiple WFS calls per result and can be slow (10-30s). Use --limit to keep response times reasonable.

  ConnectorNo auth

• cao_generer_ifcA

  immobilierB

  WHEN the drawing must leave as a real BIM file, openable in Revit/ArchiCAD/Solibri — not just a drawing. Draw a building scene and get an IFC4 file in millimetres: real spatial hierarchy (project/site/building/storeys), STABLE IFC GlobalIds (the same model keeps them across exports; pass projet_id; imported elements keep theirs), structural columns and beams (`poteaux[]`, `poutres[]` become IfcColumn, IfcBeam; see GET /cao/schema), one named IfcSpace per room with its areas (floor, French habitable and Carrez), floor slabs cut by their stair openings, an IfcRoof, IfcStair flights, standard Pset/Qto quantities, and material layers carrying density and thermal conductivity. Wall/slab/door/window types, 2nd-level space boundaries, and Lambert-93 georeferencing (EPSG:2154, Scale 0.001) are included so Revit/Archicad can open a typed, located model. Declare compositions{} to replace type compositions. Doors/windows really cut their host wall (IfcOpeningElement + IfcRelFillsElement). Passes IFC4 schema and EXPRESS-rule validation. Validate locally with cao_valider_ifc (no buildingSMART account). Call cao_verifier first. Same scene as cao_generer_dxf. Returns a JSON object {ifc, elements, unites, schema}: the IFC file arrives INLINE as text in `ifc` — no download URL, nothing stored server-side, so write it to a .ifc file yourself. `elements` counts the IFC objects emitted and `schema` names the IFC version produced. Set `armatures: true` to add the reinforcement: IfcReinforcingBar with exact geometry for footings and lintels (aggregated to their host), one IfcReinforcingMesh per slab.

  ConnectorNo auth

• html_to_pdfA

  PdfBroker.ioA

  Convert HTML and CSS to a PDF document using the WeasyPrint rendering engine. Supports every PDF/A archival level, PDF/UA accessibility and the PDF/X print standards. Best for professional documents: invoices, reports, certificates, contracts, and accessible documents. Also produces **fillable PDF forms** — set pdfForms to true. Send a complete HTML document including <html>, <head> with <style>, and <body> tags. Page geometry comes from the document's own CSS @page rule unless paperSize or orientation is set explicitly. Returns a temporary download URL for the generated PDF (valid for 30 minutes). Requires a paid PdfBroker.io plan (Starter or above). EU-first defaults: A4 paper, Portrait orientation when neither the document nor the caller says otherwise.

  ConnectorNo auth

• list_forecastsA

  Lumify Sports IntelligenceA

  Daily board of forecasted wagers from Lumify's model — a prediction, not a beat-the-market claim (no OOS/independence gate; see list_ev for the gated main-line +EV claim). Player props (rate model) on MLB, NCAAF, NFL, NBA, NCAAB, NHL. High-confidence main-line picks on tennis, NFL, NCAAF, MLB, and soccer: one side per moneyline / spread / total when the uncertainty band does not include a coin flip. Tennis moneyline is ranking Bradley-Terry; tennis spreads/totals are a Normal-approx games model. Other sports use the published assessment probability. Each wager has p_hit, conviction, and posted books prices. Use list_ev to scan main lines by sharp-fair price gap; use this tool to scan high-probability forecasts. reliability is emerging on v0. 1 credit; empty slate is still 200. How + field catalog: https://lumify.ai/docs/forecasts Worked wager: https://lumify.ai/docs/understanding-odds#forecasts

  ConnectorAPI key

• embed_xmlA

  Factur-X: Generate & Validate E-InvoicesA

  Combine a visual PDF you already have with CII XML into one Factur-X PDF/A-3. Use for an existing visual invoice; use generate_invoice to render invoice data or produce UBL. Match the PDF's parties, lines and totals to xml yourself: check examines only XML and cannot detect disagreement with the visible PDF. The embedded profile comes from xml; neither check nor language changes it. language does not translate the PDF. Invalid input or failed rules return a tool error with no file; rule errors include ids. For a findings report use validate_invoice. Success returns a JSON summary (profile, size_bytes, warning count) and a base64 PDF/A-3 resource. Requires a trial, prepaid or subscription allowance via OAuth or key; success consumes one document, errors consume none. Nothing is stored or sent.

  ConnectorAPI key

• prepare_custom_compareA

  Poly-Glot AI WorkspaceA

  Prepare a canonical prompt and instructions for comparing at least two targets, including one to five custom BYOM models and optional supported built-in AI providers. API keys must not appear in the comparison plan; use run_custom_model to execute custom targets separately. Returns comparison targets and prompt without invoking any models. This is a Send action requiring an active Apple-authorized introductory trial, active Pro subscription, or existing unexpired legacy app-managed trial. MCP cannot start an Apple subscription or paid trial.

  ConnectorNo auth

• submit_enquiryA

  siteA

  Submits an enquiry to Agricultural Building Cost — NOT a purchase, NOT a guaranteed quote. Step 1: call with the answers (keyed by field key from enquiry_fields) and consent=true; it validates and returns a summary, the consent line and a confirmation token — show the person the summary and the consent line. Step 2: only if the person agrees, call again with the same answers, consent=true and the confirmation token; the enquiry is then submitted, and the person receives an email with a link they must click before any provider sees it. Consent means the person has read and agreed to: "Send my contact details to up to three agricultural building and grain store firms, chosen by Agricultural Building Cost, who'll contact me directly. I'll be emailed each firm's name as my details go to it, and can stop any more firms getting them."

  ConnectorNo auth

• workflow.run_odds_converterA

  TradingCalc MCP: Options, Forex, Risk Stats, Prediction Markets, On-Chain & Crypto FuturesA

  Converts one probability into decimal odds, American odds, and breakeven win rate: either from a manually supplied probability, or from one market read live from Kalshi, Polymarket, ADI Predictstreet, Limitless, or Myriad (five independent crypto-price prediction market venues, all public keyless market data). One market on one venue per call; it does not compare prices across venues (to compare the same bet on two or more venues, see workflow.run_spread_reader). When a Kalshi, Polymarket, Limitless, or Myriad source is supplied, also returns the vig (the exchange's built-in edge), computed from the market's own YES+NO prices, not estimated; ADI Predictstreet's crypto contracts currently have no live trading volume on any venue, so this returns available:false with an explanation rather than a fake price (use workflow.run_window_fair_value for a theoretical price on those instead). Use when user asks "what odds does a 35% probability work out to?" or "what's the vig on this Kalshi/Polymarket/Limitless/Myriad market?". Provide exactly one of probability/kalshiTicker/polymarketSlug/adiSymbol/limitlessSlug/myriadSlug. Returns: probability, decimalOdds, americanOdds, breakevenWinRatePct, vigPct (null unless a live two-sided source was used), source (manual/kalshi/polymarket/adi/limitless/myriad), identifier, label. If available is false, do not use any result field (computed figures and any verdict are null or empty), so read available first.

  ConnectorNo auth