"Methods for Scraping Internet Data" matching MCP tools:

• scaffold_serviceA

  @imqueueA

  READ-ONLY: returns generated source code as text and writes nothing to disk, creates no project and runs no command. Generates an idiomatic @imqueue/rpc service (an IMQService subclass with @expose()d, JSDoc-typed methods) plus a bootstrap that starts it. Provide the methods you want, or omit them for a starter template. Any non-primitive parameter or return type also gets a types.ts with the required @classType()/@property() declarations — without those the generated client types it `any`, which compiles. Use create_service (local install only) if you want files actually written.

  ConnectorNo auth

• household_credit_boardA

  LiquiLens — the Failure RadarA

  Answers ONE question: is stress reaching US household credit? Use corporate_transmission_board for firms. Delinquency, charge-offs, revolving credit and unscored debt-service context; gaps stay in cannot_see. Display-only; no institution score or watchlist tier. full:true adds methods and histories.

  ConnectorNo auth

• post_dataforseo_ai_chat_gpt_llm_scraper_liveA

  AIsa AI VisibilityA

  Asks ChatGPT a `keyword` as a user would and returns the answer parsed. Returns `keyword`, `location_code`, `language_code`, `model`, `datetime`, `markdown`, `sources`, `fan_out_queries` and `brand_entities` - `markdown` is the answer as the assistant rendered it, `sources` the pages it cited, and `brand_entities` the brands it named. Measured at $0.004. Measured at 11.3 KB. `force_web_search` makes it browse rather than answer from training. Wrapped in DataForSEO's envelope: data in `tasks[0].result`, outcome in `tasks[0].status_code` - a rejected request still returns HTTP 200. This is the endpoint for 'what does ChatGPT say about us'; for counting mentions across many answers use `post_dataforseo_ai_llm_mentions_aggregated_metrics_live` instead of scraping repeatedly. The raw form is `post_dataforseo_ai_chat_gpt_llm_scraper_live_html`.

  Connector

  Destructive

  OAuth

• openlibrary_search_insideA

  openlibrary-mcp-serverA

  Search the full text of books scanned by the Internet Archive — the "which book contains this passage?" lookup that the metadata tools cannot answer. Quote a phrase for an exact-phrase match; bare terms match anywhere in the text. Each result is an Internet Archive item with the matching passages as snippets, plus a relevance score. The full-text index is an order of magnitude slower than the metadata endpoints (seconds, not milliseconds), so reach for it when the passage is the question, not as a general book search — use openlibrary_search_books for title, author, or subject. Results key on Internet Archive items rather than Open Library works: chain the returned ia_identifier to archive.org, or match it against the ia_identifiers on openlibrary_search_books results to reach the catalogue record.

  ConnectorNo auth

• get_projectA

  Dreambooth StudioA

  Full detail for a single booth: its name, public link, currency, screen size, and the live status of the device running it — whether it is online, when it was last seen, app version, and camera/printer/internet state. Call this when the operator asks about one specific booth, or whether a booth is working. Get the project id from list_projects first.

  ConnectorNo auth

• get_public_network_outagesA

  ThousandEyes MCPA

  Get Open Network Outages (No Authentication Required). Returns a list of publicly available network and/or application outages from ThousandEyes Internet Insights. This endpoint does not require authentication and provides visibility into global Internet infrastructure outages. Use this to: - Monitor current Internet outages affecting ISPs, DNS providers, CDNs, and SaaS providers - Track macro-level impact of Internet events - Get real-time visibility into infrastructure issues Args: ---- latest_seconds: Time window in seconds to look back (default: 86400 = 24 hours) minimum_outage_duration_seconds: Minimum duration filter (default: 200 seconds) Returns: ------- List of outage events with details about affected infrastructure

  ConnectorNo auth

• competitive_deep_diveA

  gapup-mcpC

  Gold-standard competitive deep dive — STRUCTURED multi-source data (no LLM narrative). Pair tool: `competitor_intel` for LLM-narrated board briefing + slide script. Aggregates Wikipedia, Yahoo Finance, SEC EDGAR, Wayback Machine, DuckDuckGo, HackerNews, domain scraping — all keyless. Returns agent-shaped JSON: KPIs (funding, employees, revenue, market cap), P0/P1/P2 competitive signals, pricing radar, competitor comparison matrix, Wayback timeline, positioning (sector/industry/icp_hypothesis/moat_signals), quality score. Every field is sourced or marked unavailable — no hallucinated figures. SLA: p50 ~25s, p95 ~30s · score 80+ on listed targets (US/EU/foreign) · score ~40 on private companies (no EDGAR/Yahoo data). Use sync for batch agents (≤30s tolerance). Use `competitive_deep_dive_async` + `competitive_deep_dive_result(job_id)` for conversational agents. Inputs: company name or domain (required), optional competitor list (≤5), optional depth (easy/medium/hard).

  ConnectorNo auth

• search_esimA

  TripuckA

  Tripuck eSIM search — prepaid travel data plans (eSIM) for a destination country, compared across multiple providers. Use this when the user asks about mobile data, internet, SIM or eSIM for a trip, e.g. "eSIM for Japan", "data plan for my trip to the US", "internet in Dubai", "Japonya için eSIM", "خطة بيانات لدبي", "Datentarif für die Türkei". Input: a destination country (the LLM maps the place to its ISO country code), with optional minimum data (GB), validity days and sorting. Returns available packages with data amount, validity, coverage and price, each deep-linking to Tripuck.com for purchase. The LLM MUST infer the user language from the conversation and pass it via the `locale` parameter ("tr" Turkish, "en" English, "ar" Arabic, "az" Azerbaijani, "de" German, "ka" Georgian, "uz" Uzbek). All widget UI text and the text response are then returned in that language. If `currency` is not specified, a sensible default is picked from the locale (tr→TRY, en→USD, de→EUR, ar→USD, az→AZN, ka→GEL, uz→UZS).

  ConnectorNo auth

• t54_list_operationsA

  Agentic Swarm Marketplace (T54 x402 MCP)B

  Returns operationIds, HTTP methods, paths, and query parameter names from the bundled OpenAPI spec (no network). Use before t54_x402_request or per-SKU tools.

  ConnectorNo auth

• competitive_deep_diveA

  mcp-knowledgeC

  Gold-standard competitive deep dive — STRUCTURED multi-source data (no LLM narrative). Pair tool: `competitor_intel` for LLM-narrated board briefing + slide script. Aggregates Wikipedia, Yahoo Finance, SEC EDGAR, Wayback Machine, DuckDuckGo, HackerNews, domain scraping — all keyless. Returns agent-shaped JSON: KPIs (funding, employees, revenue, market cap), P0/P1/P2 competitive signals, pricing radar, competitor comparison matrix, Wayback timeline, positioning (sector/industry/icp_hypothesis/moat_signals), quality score. Every field is sourced or marked unavailable — no hallucinated figures. SLA: p50 ~25s, p95 ~30s · score 80+ on listed targets (US/EU/foreign) · score ~40 on private companies (no EDGAR/Yahoo data). Use sync for batch agents (≤30s tolerance). Use `competitive_deep_dive_async` + `competitive_deep_dive_result(job_id)` for conversational agents. Inputs: company name or domain (required), optional competitor list (≤5), optional depth (easy/medium/hard).

  ConnectorNo auth

• competitive_deep_diveA

  gapup-mcpC

  Gold-standard competitive deep dive — STRUCTURED multi-source data (no LLM narrative). Pair tool: `competitor_intel` for LLM-narrated board briefing + slide script. Aggregates Wikipedia, Yahoo Finance, SEC EDGAR, Wayback Machine, DuckDuckGo, HackerNews, domain scraping — all keyless. Returns agent-shaped JSON: KPIs (funding, employees, revenue, market cap), P0/P1/P2 competitive signals, pricing radar, competitor comparison matrix, Wayback timeline, positioning (sector/industry/icp_hypothesis/moat_signals), quality score. Every field is sourced or marked unavailable — no hallucinated figures. SLA: p50 ~25s, p95 ~30s · score 80+ on listed targets (US/EU/foreign) · score ~40 on private companies (no EDGAR/Yahoo data). Use sync for batch agents (≤30s tolerance). Use `competitive_deep_dive_async` + `competitive_deep_dive_result(job_id)` for conversational agents. Inputs: company name or domain (required), optional competitor list (≤5), optional depth (easy/medium/hard).

  ConnectorNo auth

• decodo_google_searchA

  DecodoA

  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" })

  ConnectorNo auth

• preflight_checkA

  PREFLIGHT — URL Routing for AI AgentsA

  Before fetching, crawling, scraping, opening, or browser-rendering an unfamiliar http/https URL, call this with the ACTUAL destination URL. Returns the best first route: HTTP, BROWSER, MACHINE_ENDPOINT, or AVOID, plus access/JS/size/cost hints. Do not substitute example.com when a real task URL is available.

  ConnectorNo auth

• discoverA

  AgentMarketplaceA

  Discover AgentMarketplace's capabilities, tools, auth methods, and scopes. Call this first when connecting to AgentMarketplace to understand what's available and how to authenticate. No authentication required. Returns a catalog of available tools, resources, auth methods, and scopes.

  ConnectorNo auth

• cloud_egress_finopsA

  TrueCalciB

  Analyze tiered AWS/GCP public cloud internet data transfer egress pricing versus Cloudflare Zero-Egress Bandwidth Alliance and edge caching proxies, quantifying monthly and annual infrastructure cost savings. Behavior: Deterministic, idempotent calculation with zero external side effects. Calculates tiered AWS/GCP egress charges ($0.09/GB for first 10TB, $0.085/GB for next 40TB, $0.07/GB for next 100TB, $0.05/GB beyond). Models edge cache offload reduction and compares against Cloudflare zero-egress routing. Returns monthly and annual gross egress costs, post-cache costs, and total net savings. Usage Guidelines: Use for cloud architecture budgeting, FinOps reviews, and evaluating CDN caching or Cloudflare migration economics. Do not use for LLM token pricing; use ai_token_arbitrage instead.

  ConnectorNo auth

• corporate_transmission_boardA

  LiquiLens — the Failure RadarA

  Answers ONE question: is US funding stress reaching nonfinancial firms? Use household_credit_board for households. CP, bank credit lines and real-economy confirmation; cannot_see preserves gaps. Seiche context never enters regime or transmission. Display-only; no institution score or tier. full:true adds methods.

  ConnectorNo auth

• describe_serviceA

  Parser ClubA

  What Parser Club can collect, for which countries, and what it deliberately cannot do. Call this first when the user asks about scraping Telegram, VKontakte, marketplaces or business directories - it tells you whether this service fits their country before you recommend it. No API key required.

  ConnectorNo auth

• job-postings-aggregatorA

  Market and Regulatory Data Feeds — Zinin M2M HubB

  Pull every open role from a company's public applicant-tracking system (Greenhouse, Lever, Ashby) and normalize it into one row per posting: title, location, department, URL, posted date. No login, no scraping, no proxies. — $0.02/call, x402 (USDC on base).

  ConnectorNo auth

• search_public_apisA

  agentViewA

  Searches a curated catalog of 600+ free public APIs (no key, HTTPS) for embedding live data in display HTML via fetch(): weather, news, finance, sports, images, food and 40+ more categories. Use when generating HTML that needs live internet data. Set list_categories=true to get the category menu with counts instead of search results. Returns docs links, CORS status and fetch() hints. No authentication required.

  ConnectorNo auth

• browse_discoverA

  gatewayB

  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.

  ConnectorNo auth

• job-postings-aggregatorA

  Market DataB

  Pull every open role from a company's public applicant-tracking system (Greenhouse, Lever, Ashby) and normalize it into one row per posting: title, location, department, URL, posted date. No login, no scraping, no proxies. — $0.02/call, x402 (USDC on base).

  ConnectorNo auth