"Scraping Public Documents" matching MCP tools:

• classify_document

  OpenWarrant — Document Verification Suite

  Classify a FINANCIAL document's type and issuing country. Specialised in financial-services documents: payslip, tax_invoice, bank_statement, salary_certificate, payg_summary, receipt. USE THIS WHEN someone shares a document (or a link to one) and asks: what kind of document is this? is this a payslip / invoice / bank statement? route this document. Also use it as the FIRST step before verify_document, so the right checks run. Provide the document ONE way: `url` (a public http(s) link to a PDF or image — fetched server-side, the cheapest call) OR `bytes_b64` (inline base64, plus `filename` for PDF-vs-image routing). Returns `{document_type, country_code, confidence, is_financial_document, evidence, ...}`. HONEST SCOPE: type classification only — NOT an authenticity or fraud judgment (use verify_document for that). Below the confidence threshold it abstains with 'unknown' rather than guessing; non-financial documents classify as 'other'. The document is never stored.

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• check_pack

  OpenWarrant — Document Verification Suite

  Check whether a SET of documents satisfies a checklist — completeness, cheaply. USE THIS WHEN you have an application / onboarding pack and need "do we have the required documents, and what's still missing?" Each document is CLASSIFIED (one cheap page-1 read — never full field extraction or multi-page), then matched against the checklist's required slots. (For "is a document genuine?" use verify_document; to identify ONE document use classify_document; for the identity gate use verify_identity.) Define the checklist ONE of two ways: - `scheme`: a named preset — "income_proof", "lending_prequal", "rental_application". - `requirements`: an ad-hoc checklist — a list of document-type names like ["payslip","bank_statement"], or objects {"key":..., "accepts":[types], "optional":bool}. `documents` is a list (up to 12), each ONE of: {"url": "https://..."} (public link, fetched server-side) or {"bytes_b64": "...", "filename": "statement.pdf"} (inline). Returns `{complete, slots[] (key, satisfied, matched), missing[], documents[] (filename, classified_type), unmatched_documents[]}`. COVERAGE, not approval — that the right document TYPES are present, NOT that any is genuine (run verify_document) or that an application is approved. Documents are never stored.

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• url.extract

  api

  Fetch a public HTTPS URL and return extracted text and page metadata. Lean mode — no evidence bundle stored, no bundle_id returned. Use for raw text extraction from web pages and online documents. Use url.summarize for summaries, url.qa for Q&A, url.translate for translation, document.extract_text for base64 file uploads. Returns: { url, title, word_count, text, final_url (after redirects) } Example prompts: - "Extract the text from https://example.com/report.pdf for me." - "Get me the raw content of this web page: [URL]." - "Pull the text from this online article so I can analyze it."

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• get_guide

  Tu Lugar

  Curated TuLugar guides (general education, kept current): buying-process (step-by-step + documents), foreigners (rights + restrictions for non-Paraguayans), closing-costs (what fees exist), renting (contracts, deposits, garante), publishing (listing tips), airbnb (short-term rental basics). ALWAYS use this for "how does buying/renting work" / process / documents questions — the content IS in scope to share; only personalized legal advice is not.

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• authority_account_statement

  tollbooth-authority-newengland

  Generate a patron's account statement at this operator. Returns the patron's purchase history, active credit tranches, per-tool usage breakdown, and recent daily usage logs. This is the patron's spending account — not the operator's Authority tax balance. Free — no credits consumed. Proof of npub ownership is required to prevent statement-scraping of arbitrary patrons.

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• get_guide

  Tu Lugar

  Curated TuLugar guides (general education, kept current): buying-process (step-by-step + documents), foreigners (rights + restrictions for non-Paraguayans), closing-costs (what fees exist), renting (contracts, deposits, garante), publishing (listing tips), airbnb (short-term rental basics). ALWAYS use this for "how does buying/renting work" / process / documents questions — the content IS in scope to share; only personalized legal advice is not.

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• verify_identity

  OpenWarrant — Document Verification Suite

  Run an Australian identity check over a SET of identity documents. A vision model reads each document (which ID it is, which fields it shows — name/photo/address/signature — and its issue date); a deterministic engine then tallies them against a scheme and reports whether identity is established, and exactly what's still missing if not. USE THIS WHEN someone needs to verify a person's identity from their documents — KYC / onboarding / "do these documents satisfy the 100-point check?" Pass ALL the person's documents together (a passport alone is 70 points; the check needs >= 100). `documents` is a list, each item ONE of: {"url": "https://..."} (public link, fetched server-side) or {"bytes_b64": "...", "filename": "passport.pdf"} (inline). Up to 10. `scheme`: "afp_100_point" (points, default) or "austrac_safe_harbour" (category combinations). Returns `{established, points/target or satisfied_path, documents[] (per-document: type, fields shown, whether it counted and why-not), reason, accepts, ...}`. This is identity COVERAGE, not a forgery judgment — run verify_document for authenticity. Documents are never stored.

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• 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."

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• decodo_google_search

  Decodo

  Google search results scraping via Decodo (formerly Smartproxy) — runs a Google search through rotating proxies and returns structured organic results (position, title, url, snippet) plus related searches when parsing succeeds. BYOK — _apiKey is your Decodo Web Scraping API "username:password" credentials. Example: decodo_google_search({ query: "best running shoes 2026", geo: "United States", _apiKey: "user:pass" })

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• oxylabs_amazon_product

  Oxylabs

  Fetch structured Amazon product data by ASIN via the Oxylabs Web Scraper API — Amazon structured scraping: title, price, currency, rating, reviews count, stock/availability. Calls are synchronous proxying and can take 10-30 seconds. BYOK: _apiKey is "username:password" from the Oxylabs dashboard. Example: oxylabs_amazon_product({ asin: "B08N5WRWNW", domain: "com", _apiKey: "myuser:mypass" })

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• browse_discover

  WingmanProtocol Agent Gateway

  Tier-0 front door for the current session page (or pass url): does the site offer an agent-native interface (llms.txt / OpenAPI / ai-plugin)? Prefer it over scraping.

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• bonnes_pratiques

  immobilier

  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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• list_assets

  agentView

  Lists the user's uploaded assets (images, videos, fonts, documents) with public URLs for use in display HTML. Filter by type, search term or group. Check before upload_asset to avoid duplicates. response_format 'detailed' adds description, size and timestamps per asset. Requires content scope.

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• discover_agents

  Agent Router

  Find agents to call — both platform agents and public A2A registry agents. Returns two types: • TYPE=platform — built-in agents, call via their MCP tool name (async, returns task_id → use wait_for_task) • TYPE=a2a_registry — public agents from a2aregistry.org, call via a2a_call_agent(agent_url=ENDPOINT, message='...') (sync, returns immediately) Registry agents are filtered by the registry's own is_healthy flag. Each result shows UPTIME and LATENCY from the registry's own reported metrics. Free — no credits charged. Args: query: Keywords to filter by capability (e.g. 'weather', 'web scraping', 'research'). Leave empty to browse top agents. limit: Max results to return (default 10, max 25).

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• get_event

  venumark

  One published event's public details: dates, venue, city, application deadline, required documents, and the apply link. Use the slug from list_open_events or from a venumark.com/event/<slug> URL.

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• decodo_amazon_product

  Decodo

  Get structured Amazon product data via Decodo (formerly Smartproxy) — title, pricing, rating, reviews, images, availability — parsed into JSON. Pass either a full Amazon product URL or an ASIN. BYOK — _apiKey is your Decodo Web Scraping API "username:password" credentials. Example: decodo_amazon_product({ asin: "B09H74FXNW", _apiKey: "user:pass" })

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• oxylabs_google_search

  Oxylabs

  Run a Google search through the Oxylabs Web Scraper API and return structured organic results (position, title, url, description) — Google structured scraping with geo-targeting. Calls are synchronous proxying and can take 10-30 seconds. BYOK: _apiKey is "username:password" from the Oxylabs dashboard. Example: oxylabs_google_search({ query: "best espresso machine", geo_location: "United States", _apiKey: "myuser:mypass" })

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• web.site.openapi

  1cent Web Intelligence for AI Agents

  Discover and summarize bounded public OpenAPI documents. Use only for public HTTP(S) resources; it does not execute JavaScript or bypass access controls. Pass url as an absolute public HTTP(S) URL. Keep fresh=false to allow cache reuse; set fresh=true only when a new upstream fetch is required.

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• document.extract_text

  DocImprint

  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."

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• image_analyze

  Zambo AI Tools

  Analyze any image with AI vision — describe what's in it, extract text (OCR), review code/errors from screenshots, identify subjects, read charts. Accepts any public image URL. Works on photos, screenshots, diagrams, UI mockups, code error images, documents, charts. Use when a user shares an image and asks: 'what is this?', 'describe this', 'read the text in this', 'what's wrong with this code?', 'who is this?', 'what does this chart show?'. Free: 10/day. Zambo Pass: unlimited.

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