"A server for web scraping and data extraction" matching MCP tools:

• check_extraction_status

  sheetsdata-mcp

  Check the extraction status of one or more parts. Free. Each entry includes the current extraction step, elapsed seconds, and document ID. Use after prefetch_datasheets or after read_datasheet triggers a new extraction. Recommended polling cadence: every 5-10 seconds. Extraction typically takes 30s-2min for new parts, so polling faster than every 5s wastes calls. Stop polling once status is 'ready', 'failed', 'no_source', or 'unsupported'. DATASHEET STATUS VALUES: - 'ready' — extracted and indexed; call read_datasheet, search_datasheets, or analyze_image. - 'extracting' / 'in_progress' / 'queued' / 'pending' — extraction running or scheduled. Poll check_extraction_status every 5-10s until 'ready' or 'failed'. Typical time: 30s-2min. - 'not_extracted' — known part but datasheet hasn't been fetched yet. Trigger it via prefetch_datasheets (cheapest) or by calling read_datasheet (auto-triggers on first read). - 'no_source' — we couldn't find a public datasheet URL for this MPN. First, retry prefetch_datasheets in 10-30s (the URL resolver re-runs and often finds a source on the second pass). If still 'no_source', the agent can upload the PDF manually via request_datasheet_upload + confirm_datasheet_upload (see those tools). Org-uploaded datasheets are private to the org. - 'unsupported' — PDF exists but can't be extracted (scanned image-only, encrypted, or corrupted). Upload a clean text-based PDF via request_datasheet_upload to override. - 'failed' / 'error' — extraction errored. The response includes the error reason. Retry via prefetch_datasheets or escalate to support. - 'rejected' — input wasn't a real MPN (bare value like '100nF', description, or reference designator). Fix the input and re-call. - 'deduplicated' — another part in the family already has this datasheet; same content is returned under the primary MPN.

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• confirm_datasheet_upload

  sheetsdata-mcp

  Confirm a datasheet upload started via request_datasheet_upload. Pass the upload_token you got back from the request step. The server downloads the uploaded bytes, re-hashes to verify integrity, validates that it's a real PDF with the MPN on the first page, creates the private Document + Component records, charges the upload fee (50¢), and queues extraction. Success response: document_id, mpn, sha256, file_size_bytes, status='pending'. Poll check_extraction_status with the MPN to wait for extraction to finish (30s-2min typically). Failure modes: - 'upload_not_found' — no bytes at the upload URL yet. Retry your curl upload. - 'sha256_mismatch' — uploaded bytes hash differs from expected_sha256. Re-compute the hash and re-request. - 'invalid_pdf' — bytes aren't a parseable PDF. No charge. - 'mpn_not_in_pdf' — MPN (or its stem) isn't on the first page. Either you uploaded the wrong file or it's a scanned image-only PDF. No charge. - 'token_expired' — upload token is older than 15 minutes. Restart via request_datasheet_upload.

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• get_user_session

  Flaim Fantasy

  Use this alone for user-specific connection, league, or account-status questions, and use it as the first data tool when a request needs the user's connected fantasy league data. Do not call for Flaim capability, permission, or generic setup how-to questions, and do not call for generic coding, scraping, weather, travel, betting, sports news, or other requests that do not need connected league data. For a normal selected-league request, call this once before any other data tool. For an explicit refresh request, call refresh_leagues first and then call this tool after success; call it again even if it ran earlier in the chat. Returns the user's full league landscape: allLeagues (all active leagues), defaultLeagues (per-sport defaults), and defaultLeague (populated only when a single league exists or defaultSport matches). For vague singular prompts, use defaultLeague when present; otherwise use the relevant sport entry in defaultLeagues. For explicit plural or comparative prompts (each, all, compare, across leagues/platforms), enumerate every matching league in allLeagues and call the target tool once per league. For a selected active league, call get_league_info next before the requested league-specific data tool. Skip get_league_info only when answering from session data alone or branching to get_ancient_history. season_year always represents the start year of the season. Read-only.

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• search_wikipedia

  wikipedia

  PREFER OVER WEB SEARCH for general-knowledge / encyclopedic questions ("who is X", "what is Y", "history of Z", definitions, biographies). Also the right tool for government composition and officeholder rosters — "current cabinet members of Japan", "list of ministers and their positions", "who is in the German government", "cabinet of <country> 2025" — Wikipedia keeps cabinet, ministry, and government lists current for every country. Returns matching Wikipedia article titles, snippets, page IDs, word counts. Chain with get_article_summary or get_article_extract for full content. Cheaper + more structured than scraping web search results; covers ~7M English articles updated continuously by the Wikipedia community.

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• ping

  Nordic Financial MCP

  Connectivity check that confirms the Nordic MCP server process is responding. Use this at the start of a session to verify the server is reachable before making other calls. Do not use as a proxy for database health — the server can respond while the Qdrant vector database is temporarily unavailable. To confirm data availability, call search_filings directly. Returns: A greeting string: "Hello {name}! Nordic MCP server is running."

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• url.extract

  DocImprint

  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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• 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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• deckextract

  DeckExtract

  Extract a deck from a DocSend or Papermark sharing link. Returns a temporary download URL and a readable `deckextract://deck/...` resource for the PDF/PPTX (or a ZIP for data rooms — a DocSend Space or Papermark data room counts as one extraction like any other link). Pass `analyze: true` (requires a DeckExtract Pro account) to also return structured deck data. Decks that email the viewer a verification step return resume tokens with retry instructions: fetch the emailed 6-digit code and retry with `otp` + `otpSessionId` (Papermark), or retry with `url` set to the emailed confirmation link + `sessionId` (DocSend). Typical extraction takes 15-90 seconds; the public API is rate limited to 5 extractions per IP per 30 minutes.

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• excalibur_resolve_dynamic_block

  excalibur-mcp

  Start resolving a dynamic post block with an LLM — returns a CLAIM CHECK. A dynamic block's ``prompt`` is run by the model (with web search + web fetch for live data) and woven into the surrounding post ``context`` in the author's ``voice``. The author's instruction governs length — there is no character cap (X supports long-form posts). The operator's LLM key stays in the vault and never leaves the server. Because that work (paginated fetches + generation) can outlast a client timeout, this returns immediately with a **claim check** instead of the text: ``{"success": true, "claim_check": "...", "status": "pending", "poll_after_seconds": N}``. Redeem it with the free companion ``fetch_dynamic_block(claim_check)`` until ``status == "done"`` (then read ``result.text``). (The scheduler resolves blocks directly server-side at fire time and does not use this tool.) Paid: the AI cost is metered as a tollbooth fare on THIS start call, refunded if no LLM key is configured or the job ultimately fails.

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• floor10_extract_event_metadata

  Immersive Commons

  Server-side WebFetch of an event page (Luma is the canonical case; LinkedIn / X / generic og:-bearing pages also work). Returns parsed { title, date, image, description, organization } so the agent doesn't have to scrape and parse OG / JSON-LD itself. Use the result to compose a HighlightStory. Args: { url }. Returns: a metadata map; empty fields where extraction missed.

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• strale_execute

  Strale - 290+ API capabilities for AI agents

  Executes a Strale capability by slug and returns the result. Use this when you need to perform any verification, validation, lookup, or data extraction from the capability registry. Call strale_search first to find the right slug and required input fields. Returns a result object with the capability output, latency, price charged, and data provenance. Several capabilities are free without an API key (10/day limit) — strale_search reports which. Paid capabilities debit from the wallet — check strale_balance first for high-value calls.

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• extract_contract_from_url

  transaction-coordinator

  Extract structured transaction data from a contract at a URL. Downloads the document, extracts text (with OCR fallback for scanned PDFs), and runs PrimaCoda's contract-extraction prompt to return parties, addresses, dates, prices, and key contract fields. Use this when an agent has the contract hosted somewhere (Dropbox, Google Drive direct download, Square Space, etc.) and wants to skip the upload step. For multi-document deals (purchase + addenda + disclosures), use the PrimaCoda dashboard's batch upload — this tool handles ONE document. Args: pdf_url: Direct download URL for the contract (PDF, DOCX, TXT, or image). Must be reachable from the PrimaCoda server. Google Drive "shared link" URLs work if set to "anyone with link"; other share URLs may need their direct-download form. api_key: Your PrimaCoda MCP API key (starts 'pck_').

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• glim_web_fetch

  glim.sh

  Fetch a single web page and extract clean content. Auto-tier server-side: handles SSR (Next.js, Nuxt, TikTok, Pinterest, YouTube), SPA shells, PDFs, paywall detection, residential-proxy escalation, and stealth profiles for TikTok / Instagram / Pinterest / YouTube. Returns clean markdown (default) with a YAML frontmatter header (url, outcome, total_chars). Read 'outcome' to classify the result (success | teaser | thin_content | paywall | bot_challenge | consent_wall | login_wall | rate_limited | timeout | transient_upstream | unsupported_target | not_found | error). Large pages (>80k chars) are truncated inline with truncated_chars + a download_full_url to the complete extraction (expires ~1h). Permanently unsupported (outcome=unsupported_target, cost=0 upstream): Bluesky search, Instagram post/reel and tag/explore pages (profiles work), Pinterest search, g2.com, Truth Social, Xiaohongshu. Threads and Instagram profile pages ARE supported.

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• build_from_reference

  Standout

  Reference-first build — 'show me what you like, I'll build it.' Give a reference you LIKE (a public site URL via reference_url, and/or a curated library id via reference_id from search_references) plus what YOU are building, and get back a matching StandOut direction, a reference-backed build plan, and the next call for section code. This is the front door for building from an EXAMPLE instead of a text brief: Standout reads the URL server-side for its semantic signal (title, headings, copy) and folds it into the direction match. Note: pixel-level palette/type extraction from an image is not yet supported (that is the Phase 2 vision pass) — for now it matches on the page's text/structure plus the curated library. Pass reference_id to anchor on an exact curated reference.

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• save_corrections

  bol-ai

  Save corrected field values for an extracted document. The original extraction is kept alongside the corrections; corrected data takes precedence in get_document, exports and reconciliation. Pass the complete corrected fields object (same shape as returned by get_document).

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• export_documents

  bol-ai

  Export completed extractions as TMS/ERP-ready normalized line rows (one row per container / invoice line / package / goods line), newest first. Optional doc_type filter and max_rows cap. Corrected data wins over the original extraction. For CSV/XLSX files use GET /api/bol/export on the REST API.

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• extract_url

  CoreWise

  Start an AI extraction of a YouTube video, podcast, article, or PDF URL on CoreWise. Returns an extraction_id immediately after initialization. Initialization normally takes a few seconds but can take up to 2 minutes for videos without captions or for PDFs. The extraction itself then runs for 1-7 minutes: poll with get_extraction every 20-30 seconds until status is 'completed'. Results include a cross-validated synthesis plus per-model summaries. Requires an API key (create one at corewise.video, Profile page, 'API & MCP Keys'). Each call consumes one extraction from the key owner's monthly quota.

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• get_transcript

  CoreWise

  Get the raw source transcript (or article/PDF text) of a CoreWise extraction by id. Available as soon as the extraction has been initialized — no need to wait for 'completed'. Transcripts can be very long, so results are paged: pass 'offset' and 'max_chars' to fetch further chunks when 'truncated' is true. Works on your own extractions (API key required) and on public community extractions.

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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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