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

• detect_ai_textA

  Stipple — Document Verification & ExtractionA

  Estimate the PROBABILITY that a document's text was AI-GENERATED (LLM-written prose). USE THIS WHEN someone shares prose — an essay, cover letter, article, review, application, or report (or a link to one) — and asks: did an AI / ChatGPT write this? is this human-written? detect AI text. Provide the document ONE way: `text` (pasted markdown/plain prose), `url` (a public http(s) link to a page or PDF — fetched server-side, the cheapest call), OR `bytes_b64` (a base64 PDF/file, plus `filename` for routing). Returns `{probability, lean, tells, reasoning, applicable}`. HONEST SCOPE: the probability is the model's CONFIDENCE, not a calibrated truth — it can false-flag templated/coached or non-native-English writing. It works on PROSE only: for a form/table/numeric document (payslip, statement) it returns `applicable: false` and abstains, because AI-text detection false-positives badly there — use `verify_document` (the authenticity engine) for those, and `verify_references` to check a doc's citations/claims.

  ConnectorNo auth

• detect_ai_textA

  Stipple — AI Text DetectionA

  Estimate the PROBABILITY that a document's text was AI-GENERATED (LLM-written prose). USE THIS WHEN someone shares prose — an essay, cover letter, article, review, application, or report (or a link to one) — and asks: did an AI / ChatGPT write this? is this human-written? detect AI text. Provide the document ONE way: `text` (pasted markdown/plain prose), `url` (a public http(s) link to a page or PDF — fetched server-side, the cheapest call), OR `bytes_b64` (a base64 PDF/file, plus `filename` for routing). Returns `{probability, lean, tells, reasoning, applicable}`. HONEST SCOPE: the probability is the model's CONFIDENCE, not a calibrated truth — it can false-flag templated/coached or non-native-English writing. It works on PROSE only: for a form/table/numeric document (payslip, statement) it returns `applicable: false` and abstains, because AI-text detection false-positives badly there — use `verify_document` (the authenticity engine) for those, and `verify_references` to check a doc's citations/claims.

  ConnectorNo auth

• search_buildersA

  BuilderVet — NSW builder licence & risk historyA

  Search Australian (currently NSW) builders, contractors and building companies by name; optionally filter by postcode. Returns matching entities with their licence status and a slug to pass to get_builder_risk / get_builder_timeline. Example: query='Acme Building' → '- Acme Building Pty Ltd (Current), 2099 → slug: acme-building-pty-ltd-1a2b'. Names are matched loosely, so try the trading name AND the legal (Pty Ltd) name if the first search misses. Query must be at least 2 characters.

  ConnectorNo auth

• read_pdfA

  PaperDockA

  Get the latest successful compiled PDF for an explicit entry .tex path, with a signed download link valid for at most 10 minutes, size, generation time, and freshness information. This never compiles, waits, or polls. A newer running or failed compile may coexist with an older successful PDF. Freshness is unknown unless later source changes are detected; never assume the PDF matches current or unsaved source. Download and open the PDF using a PDF-capable tool before discussing its contents or layout; a link alone is not a PDF inspection. If no result exists or it has expired, ask the user to compile in the web app. Use read_file for uploaded PDF assets.

  ConnectorOAuth

• submit_forecastA

  voxoddsA

  Submit YOUR probability forecast on a live prediction market and build a public, audited track record. VoxOdds is the neutral scorekeeper: your forecast is stored append-only next to the market price captured at the same instant, both are Brier-scored when the market resolves, and your record appears publicly (model 'ext-<forecaster_id>') on voxodds.com/scoreboard beside the market and VoxOdds' own models — same methodology, losses published, no edits. Use list_trending_markets to find a market_id. `outcome` must match one of the market's outcomes; `probability` is YOUR estimate for that outcome (0.01-0.99); `forecaster_id` is your stable handle (3-32 chars, a-z 0-9 dash). Free; forecasts cannot be deleted or revised.

  ConnectorNo auth

• convert_documentA

  Carbone MCPA

  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").

  ConnectorNo auth

• get_building_breakdownA

  Cenogram - Polish Real Estate DataA

  Get the building-by-building breakdown for one transaction: footprint area, number of storeys, and estimated total floor area (footprint × storeys) for each building on the property. search_transactions / search_by_area / search_by_polygon return per-transaction building SUMS inline; this tool splits them into individual buildings. Use it after a search when a result has building data and you need the detail (e.g. a developed-land deed covering several buildings). Each building also carries a construction-age estimate derived from building-permit records. It is an ESTIMATE with an interval, never a registry construction date, and the records only start in 2016 — so for most buildings the honest answer is "construction year not established", which is stated explicitly rather than left out. The transaction_id is the id shown on a search result that has building data. Cost: 4 tokens. Returns nothing for a transaction with no buildings.

  ConnectorOAuth

• get_internal_link_urlA

  FINN Auto - Car SubscriptionA

  Get canonical FINN URLs for a brand and its models — for building internal linking blocks on SEO pages. For each model returns three URLs that target DIFFERENT funnels: `mdp_url` (marketing/brand page), `plp_subscribe_url` (subscription product listing, /de-DE/subscribe/{brand}_{model}), and `plp_leasing_url` (leasing product listing, /de-DE/leasing/{brand}_{model}). Use `plp_leasing_url` when linking from a Leasing advisory, `plp_subscribe_url` when linking from subscription content. If `model` is omitted, returns all currently available models for the brand.

  ConnectorNo auth

• find_winnable_lanesA

  tendfeedA

  DEPRECATED — use find_low_competition_lanes instead; this alias behaves identically and stays available for existing clients. The old name wrongly implied a win forecast: TendFeed measures observed competition density, not the probability that you win. Data/research tool over TED (Tenders Electronic Daily, CC BY 4.0). No guarantee of award.

  ConnectorNo auth

• compute.modelsA

  DPX — Institutional Cross-Border SettlementB

  List all AI models available through DPX Compute. All models are free-tier (no token cost) — routed via OpenRouter. Returns model IDs, provider, capability strengths, context window, and speed tier. Use this before compute.route to understand what models are available and pick the right one for a task. Free.

  ConnectorNo auth

• compute.modelsA

  DPX — Institutional Cross-Border SettlementB

  List all AI models available through DPX Compute. All models are free-tier (no token cost) — routed via OpenRouter. Returns model IDs, provider, capability strengths, context window, and speed tier. Use this before compute.route to understand what models are available and pick the right one for a task. Free.

  ConnectorNo auth

• get_lightning_activityA

  Smarter WeatherA

  Real-time lightning near a location: GLM satellite flash count (30km/10min) and MRMS ground-truth lightning density + 30-minute probability. The summary field is ready-to-use. A zero flash count means no lightning inside that window -- report it as a quiet observation scoped to the window in `scope`, never as a data gap. Only call when storms may be active or the user asks about lightning. Example: {"location": "Tampa"}.

  ConnectorNo auth

• list_modelsA

  mcpA

  List the AI image, video, music, and sound-effect models available on BudgetPixel with base credit prices and capabilities. Featured models come first with a one-line role hint (when to pick each). Video models are priced per SECOND by resolution; music models are flat per track; sound effects are per second with a 3-second minimum. Prices are base rates — the user's plan discounts and free-model perks apply automatically when generating.

  ConnectorNo auth

• beel_get_invoice_pdfA

  BeeLA

  Returns a temporary pre-signed URL to download the invoice PDF. - **URL:** expires in five minutes and only allows `GET`. - **`202`:** the PDF is still being generated and no body is returned; poll this endpoint until it answers `200`. - **Drafts:** a draft has no fiscal PDF and answers `400 INVOICE_NOT_ISSUED_NO_PDF`. Issue it, or render it with `GET …/{invoice_id}/pdf/preview`. Endpoint: GET /v1/companies/{company_id}/invoices/{invoice_id}/pdf

  ConnectorOAuth

• convert_arxivA

  inktomd MCP ServerA

  Convert any ArXiv research paper to clean structured Markdown. Accepts both abstract page URLs (arxiv.org/abs/PAPER_ID) and direct PDF links (arxiv.org/pdf/PAPER_ID). Returns the full paper content with headings, sections, and content preserved — uses significantly fewer tokens than the PDF format for AI analysis.

  ConnectorNo auth

• mapA

  SymvantaA

  Token-efficient repo (or subtree) skeleton: directory tree with each file's classes (methods in parens), functions, and HTTP endpoints, from the graph. Orient before drilling in. Scope with "path", cap with "maxDepth", density:"full" adds properties. view:"architecture" instead returns a module map (Louvain clusters with hubs, paths and cross-module coupling), plus namedModules/totalModules: a module NAME comes from a generated summary and is provisional, its id (the member-set hash in the header) is the stable key, so pin modules by id and re-read names rather than caching them.

  ConnectorNo auth

• model_profilesA

  PlanExeA

  Optional helper before plan_create. Returns model_profile options with plain-language guidance and currently available models in each profile. If no models are available, returns error code MODEL_PROFILES_UNAVAILABLE.

  ConnectorNo auth

• list_categories_api_agents_categories_getA

  Agentry — The Trust Layer for the Agent EconomyB

  List Categories List all agent categories with counts. Returns every category in the directory along with the number of agents in each. Useful for building category filters or understanding the directory's coverage areas. ### Responses: **200**: Successful Response (Success Response) Content-Type: application/json **Example Response:** ```json [ { "category": "Category", "count": 1 } ] ```

  ConnectorNo auth

• list_error_codesA

  Trillboards DOOH AdvertisingB

  List every error code in the Trillboards API error catalog. WHEN TO USE: - Understanding what error codes the API can return. - Building a client-side error handler that covers all cases. - Looking up error types, HTTP statuses, and documentation URLs. RETURNS: - object: "list" - data: Array of { code, type, http_status, description, doc_url } - total: Total number of error codes. Equivalent to GET /v1/errors but executed in-process (no HTTP round-trip). EXAMPLE: Agent: "What error codes can the API return?" list_error_codes()

  ConnectorNo auth

• billing.statusA

  Admin SubstituteA

  Check subscription status, plan details, billing cycle, and feature access. Useful for understanding what the business can and cannot do on their current plan.

  ConnectorNo auth

• gbif_get_species_classificationA

  gbif-biodiversity-mcp-serverA

  Return the parent chain for a taxon — from kingdom (or domain) down to the immediate parent of the queried taxon — as an ordered array. Each entry has its rank, canonical name, and taxon key. The array is returned root-first (kingdom → phylum → class → … → immediate parent of the queried taxon); the queried taxon itself is not included — call gbif_get_species for its own record. Useful for building taxonomic trees or understanding placement without navigating the backbone level-by-level.

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