"Methods for Scraping Internet Data" matching MCP tools:

• create_generation_request

  Cannon Studio

  Create billable async Cannon Studio generation work only after explicit user approval. Requires OAuth or a developer API key; can spend credits up to max_credits and cannot be cancelled through MCP after submission. Use estimate_generation_cost first, then set confirmed=true and a user-approved max_credits cap. This tool does not create API keys, charge payment methods directly, or delete assets.

  Connector

• use

  Vaaya

  Execute a single call that `consult` handed you, and bill on success. Used for any external capability (image/video/audio generation, web search, scraping, email, document parsing, code sandbox, browser automation, embeddings, etc.). The server validates params against a registered schema and proxies to the upstream — you never pass URLs or API keys. Always get the exact (service, action, params, max_cost_cents) from `consult` first — don't guess them.

  Connector

• competitive_deep_dive

  gapup-mcp

  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).

  Connector

• gdelt_get_tv_clips

  gdelt-mcp-server

  Retrieve the top matching TV news clips (up to 3,000) for a query from the Internet Archive's Television News Archive. Each clip includes show name, station, air timestamp, a 15-second transcript excerpt, and a direct link to view the full one-minute clip. Use after gdelt_search_tv to read the actual transcript content driving a coverage spike. 3,000 is a hard per-call ceiling and GDELT offers no cursor: when a query fills it, split the run into narrower startDatetime/endDatetime windows — the response hands back the exact windows to use. Archive coverage spans 2009–October 2024.

  Connector

• gdelt_list_tv_stations

  gdelt-mcp-server

  List all television stations available for TV search with their market, network, monitoring start date, and monitoring end date. Stations with an end date within the last 24 hours are flagged as active; stations with earlier end dates are discontinued. Use before querying to verify a station was active during the target time period, or to discover valid station IDs for the stations parameter in other TV tools. Most station monitoring ended October 2024 when the Internet Archive TV feed stopped updating.

  Connector

• contrast_scan

  ContrastAPI

  Active website security scan: runs the ContrastScan C engine (11 modules — HTTP security headers, SSL/TLS, DNS, redirect chain, information disclosure, cookie flags, DNSSEC, HTTP methods, CORS, HTML hygiene, deep CSP analysis) against the live site and enriches the raw result with severity-ranked vulnerability findings and a letter grade. Use for a hands-on misconfiguration scan; use audit_domain for passive recon (DNS/WHOIS/SSL/threat intel) and scan_headers for headers only. Active outbound fetch — a per-target eTLD+1 throttle (60 req/min) applies. Free: 30/hr (costs 6 tokens), Pro: 500/hr. Returns {domain, resolved_ip, total_score, max_score, grade, findings, findings_count, headers, ssl, dns, redirect, disclosure, cookies, dnssec, methods, cors, html, csp_analysis, enterprise, summary, next_calls}.

  Connector

• global_indicator

  dynamic-feed

  A flagship development statistic from Our World in Data: the latest value for a country plus a short multi-year trend, with full source attribution. ONE source, MANY indicators (breadth) — CO2 per capita, population, fertility, urbanisation, GDP-per-capita (a development stat in PPP, NOT a market price), extreme poverty, R&D spend, Human Development Index, literacy, internet access, electricity access. Distinct from `global_macro` (World Bank): OWID adds the long-run development + climate set. `indicator` = a slug/alias from the curated allowlist (default "co2-emissions-per-capita"; aliases: co2, pop, gdp, hdi, literacy, internet, poverty, fertility, urban, rd) — call indicator="list" for the full menu. `country` = ISO-3 code (AUS, USA, CHN, GBR, IND, …); omit for the World aggregate. Source: Our World in Data (ourworldindata.org) — OWID's processing layer is CC BY 4.0, keyless; every response carries BOTH OWID's attribution AND each underlying producer's citation + licence. Only indicators whose underlying sources are cleared for commercial re-serving (CC BY / CC BY IGO / CC0 / public domain) are served — a fail-closed runtime gate refuses any non-redistributable indicator. Annual-ish statistics, not a live-telemetry feed. Every value is returned in an Ed25519-signed, provenance-stamped envelope (source and observation time) you can verify offline against /.well-known/keys, no account required.

  Connector

• get_full_text

  Pubmed

  Fetch the FULL TEXT of a biomedical paper from PubMed Central (the open-access subset) by PubMed ID. PREFER OVER get_abstract when you need methods/results/discussion, not just the abstract — "read the full paper", "what methods did <PMID> use", "extract details from the paper". Resolves the PMID to its PMC id and returns the article body text (capped ~40k chars). Only open-access articles are in PMC — returns has_full_text:false (use get_abstract) otherwise.

  Connector

• compare_selling_costs

  Pulltrader Seller Economics

  Compare estimated fees and the net amount a trading-card seller keeps when selling the SAME card across eBay (estimated), Pulltrader selling methods (marketplace, Fulfilled by Pulltrader, branded storefront, and in-person POS), and other marketplaces (TCGplayer, Mana Pool, Misprint, Fanatics Collect, Goldin — estimated fixed-price/Buy Now seller fees). Use this when a seller asks what they would keep/net/take-home on a sale, how fees compare between platforms, or which method leaves them with more money. Calculations are deterministic and use dated fee schedules. Competitor marketplaces are off by default; include them via the `methods` field. Only fixed-price seller fees are modeled — auction formats (hammer price, buyer's premium, negotiated consignment) are not. Do NOT use this to look up a card's market value or recent sales (this tool does not price cards), and do NOT use it for non-trading-card categories. Present competitor and eBay figures as estimates, never as guaranteed proceeds, and never claim one platform is universally cheapest.

  Connector

• search_knowledge

  Social Cooks MCP

  Semantic full-text search across all Social Cooks content (blog articles, guides, glossary, service pages). Returns the most relevant passages with their source URLs so you can cite them. Read-only — use it to answer questions about the agency's approach, methods, metrics and how-tos that the other tools don't cover.

  Connector

• get_human_profile

  Human Pages

  Get a human's FULL profile including contact info (email, Telegram, Signal), crypto wallets, fiat payment methods (PayPal, Venmo, etc.), and social links. Requires agent_key from register_agent. Rate limited: PRO = 50/day. Alternative: $0.05 via x402. Use this before create_job_offer to see how to pay the human. The human_id comes from search_humans results.

  Connector

• account_show_infos

  Kash.click

  Retrieve all current settings of the authenticated shop account as a JSON object. Returns the full shop configuration: name, address, legal numbers, receipt options, order requirements, enabled features, delivery methods, webshop colours, and third-party integration settings. Use this to verify invoice prerequisites before creating orders: shopName, adressline1, and companyRegistrationNum must all be set for legally valid invoices. If any are missing, prompt the user to fill them in via account_edit.

  Connector

• report_get

  Kash.click

  Download a synthetic HTML sales report for a given period. Period logic: omit all date fields to get yesterday's report; provide y only for a full-year report; y + m for a full-month report; y + m + d for a specific day. Returns an HTML summary including total revenue, number of orders, breakdown by department, VAT summary, and payment methods.

  Connector

• billing.get_portal

  Admin Substitute

  Get a Stripe Billing Portal URL for the human to manage their subscription — update payment methods, view invoices, change plans, or cancel. Requires an existing Stripe subscription.

  Connector

• get_catalog

  Backtest360

  Fetch one engine reference catalog. Catalogs (cheap, cacheable per session): - 'operators' — comparison operators for condition expressions - 'execution-modes' — entry/exit anchors and fill algorithms, with the validity matrix by market type - 'stop-types' — stop-loss types, re-entry modes, and their parameters - 'sizing-methods' — position-sizing methods and their parameters - 'bar-frequencies' — supported bar frequencies and the signal x execution validity matrix (which combinations are allowed) - 'sections' — the full metric catalog: every statistic's stable id, display label, section, and description - 'sampling-modes' — Monte-Carlo resampling modes, each with its status and parameters Fetch the relevant catalog BEFORE building a strategy or config; build only from values it lists — never guess parameter names or frequencies.

  Connector

• vaaya_account

  Vaaya

  Show which Vaaya account this connection is linked to and its money state. Returns { email, name, user_id, connected_client, scopes, balance_cents, premium_allowance, credits_url, switch_account }. Call it whenever the user asks "which account is connected", "what's my balance", "how much premium/media credit is left", or "how do I switch accounts" — and relay the answer. `premium_allowance` is the gated free-tier ledger for premium services (media generation, enrichment, compute, scraping): it is SEPARATE from wallet balance, and only credit-pack purchases raise it.

  Connector

• decodo_scrape

  Decodo

  Scrape any web page through Decodo (formerly Smartproxy) rotating proxies and return its content. Handles anti-bot pages; use render_js:true for JavaScript-heavy sites (headless-browser rendering) and markdown:true for clean LLM-ready markdown instead of raw HTML. BYOK — _apiKey is your Decodo Web Scraping API "username:password" credentials. Example: decodo_scrape({ url: "https://example.com", render_js: true, _apiKey: "user:pass" })

  Connector

• enrich_html

  shopgraph

  Extract product data from raw HTML you already have (no HTTP fetch needed). Ideal when using Bright Data, Firecrawl, or any scraping API — pipe the HTML through ShopGraph for structured product data. Uses schema.org + LLM fallback. Costs $0.02 per call (cached results are free). Each field carries verification metadata in _shopgraph: provenance (field_method — which source/tier produced it: schema_org, llm, or hybrid), freshness (field_freshness — recency + volatility_class, for volatile fields like price & availability), and abstain (a field is null when ShopGraph cannot verify it on the page). Rely on provenance, freshness, and the abstain signal to decide what to trust.

  Connector

• competitive_deep_dive

  mcp-knowledge

  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).

  Connector

• competitive_deep_dive

  gapup-mcp

  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).

  Connector