"Top 5 Best Surf Sites with Live Webcams" matching MCP tools:

• intentions_ask_month

  Intentions MCP Server

  Call when the user asks at month granularity or wants the best month from a multi-month window ("how is next month", "best month in 2026 to X", "下个月适合吗"). Use for trip-month selection, launch months, content-calendar planning, quarterly/annual decisions. Modes: single month, compare up to 5 months, or scan up to 12 months (returns top 5). Returns month score, element breakdown, adverse alerts. For day precision near the 4th–6th of a month use `intentions_ask_day`; for hour precision use `intentions_ask_hour`.

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• list_saved_sites

  DC Hub — Data Center & Power Intelligence

  Use when a user asks to see or review their saved DC Hub shortlist in-chat (FREE with a key), or wants to know what moved on it. Example: "What sites have I saved?" / "Did any of my saved sites move?" — list_saved_sites. Params: since (optional — "24h"/"7d"/ISO, default 7d — the delta window). Returns: each saved site with name, market, lat/lon, saved DCPI score, target MW, notes — PLUS live deltas: verdict_was/verdict_now (e.g. CAUTION → BUILD), excess-power move over the window, current vs at-save DCPI, alerts armed/fired, new facilities nearby, and a `portfolio` summary flagging which sites moved and which have no alert armed. Do NOT use to add a site (use save_site) or to download the list as a file (use export_dataset); this is the in-chat read-back.

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• stophy_get_video

  Stophy

  Fetch details, transcript, comments, comment replies, or live chat for a YouTube video. type="details": returns video{id, title, author, description, viewCount, likeCount, durationSec, publishedAt, tags, isLive} and related[]. type="transcript": returns {videoId, language{code, name, isAutoGenerated}, isTranslated, availableTracks, segments[{text, start, duration}], text}; if the requested lang has no native track, a machine translation is returned along with a top-level warning. type="comments": returns {videoId, sortBy, items[{id, text, author, likeCount, replyCount, repliesToken}], continuationToken}. type="replies": pass the repliesToken of a comment as continuationToken to fetch its replies. type="livechat": returns {videoId, status (live|upcoming|replay|chat_disabled|not_live), isLive, concurrentViewers, messages[{id, text, author, authorId, timestampUsec, isOwner, isModerator, isVerified, superChatAmount, superChatCurrency}], continuationToken, pollIntervalMs}. Set chatType="top" for moderated Top chat (default) or "live" for all messages. To follow a live stream, poll again passing the previous continuationToken for only new messages, waiting pollIntervalMs between polls; a null continuationToken means the stream ended. Best for: extracting content from a known video URL. Not recommended for: discovering videos. Use stophy_search_videos instead.

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• list_sites

  RevenueScope: Japanese EC RPS Benchmarks

  List the sites this caller can analyze, in two groups. my_sites = the sites connected to the signed-in account (each with its display name + domain, so you can match phrases like "the production site" or "revenuescope.jp" without the user pasting a UUID); empty when the caller is not signed in. demo_sites = ready-made sample sites for trying RevenueScope before connecting your own — each is a fictional site with sample data, not a real customer. When signed in (OAuth), prefer my_sites and, if site_id is omitted, default analytics tools to the is_primary=true site. When NOT signed in, my_sites is empty: use a demo_sites site_id and tell the user the numbers come from a sample site, not their own.

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• list_saved_sites

  DC Hub — Data Center Intelligence MCP Server

  Use when a user asks to see or review their saved DC Hub shortlist in-chat (FREE with a key), or wants to know what moved on it. Example: "What sites have I saved?" / "Did any of my saved sites move?" — list_saved_sites. Params: since (optional — "24h"/"7d"/ISO, default 7d — the delta window). Returns: each saved site with name, market, lat/lon, saved DCPI score, target MW, notes — PLUS live deltas: verdict_was/verdict_now (e.g. CAUTION → BUILD), excess-power move over the window, current vs at-save DCPI, alerts armed/fired, new facilities nearby, and a `portfolio` summary flagging which sites moved and which have no alert armed. Do NOT use to add a site (use save_site) or to download the list as a file (use export_dataset); this is the in-chat read-back.

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• publish_site

  shiply

  Publish files to the web → live URL at <slug>.shiply.now. UPDATING: never create a new site for changes — re-call with claimToken (anonymous sites) or slug (sites you own with a Bearer key) and the SAME URL gets the new version. Unchanged files are hash-skipped server-side, so re-publishing (including retrying a failed publish) is cheap — always update the same site rather than creating a new one. Works WITHOUT auth (anonymous: 24h lifetime, returns claimToken/claimUrl — SAVE THEM). With a Bearer shp_ key sites are permanent. ≤50 files / 2 MB inline; bigger: REST flow per https://shiply.now/llms.txt. index.html serves at /. spaMode for client-side routing.

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• get_city_resource

  InfraNode

  Fetch ANY per-city data type by its key (generic accessor, 68 data types). One tool for the whole breadth of InfraNode: live data (air, traffic, transit stops, parking, charging, water-level, flood, sharing, fuel-prices, icu-live, webcams, station-departures/-arrivals/stations, ...), statistics (demographics, unemployment, tourism, accidents, crime-stats, indicators, land-values, tax-rates, insolvencies, ...), infrastructure and environment (solar, solar-roofs, district-heating, energy, heritage, tree-cadastre, playgrounds, public-toilets, markets, education, ...) and more. Discover the valid keys and per-city coverage with ``get_city_overview(slug)`` or the ``infranode://catalog`` resource; the ``resource`` enum lists every key. Uncovered types return ``source_status="not_covered"`` (plus where they ARE available), never an error. Read-only.

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• recommend_verified_tool

  OnchainAI

  Premium: returns a single verified live x402 tool for a task. Probes top candidates on-demand for liveness and price honesty, then returns the best one with rejection reasons for the rest. Always paid on public POST /mcp — $0.01 USDC on Base (Axis B; HTTP 402 + PAYMENT-REQUIRED). Use free search_tools first to check if candidates exist. On POST /mcp/okx uses the OKX package rate instead.

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• export_dataset

  DC Hub — Data Center Intelligence MCP Server

  Use when a user wants to pull their saved DC Hub shortlist OUT of the platform for offline analysis, a spreadsheet, or ingestion into another tool (PRO). Example: "Export my saved sites as GeoJSON for QGIS." — export_dataset format=geojson. Params: format ("csv" default, or "geojson"). Returns: the full file contents as text — CSV rows or a GeoJSON FeatureCollection of your saved sites with DCPI score, target MW, market, coordinates, and notes. Do NOT use to list sites in-chat (use list_saved_sites) or to save a new one (use save_site); this is the bulk-download path.

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• audit

  mcp

  Perform comprehensive audit of a website URL. Fetches the URL content ONCE and provides a combined report with: - Classification: category, subcategory, language, sentiment, demographics - SEO Analysis: score, grade, issues, recommendations - EEAT Analysis: experience, expertise, authoritativeness, trustworthiness scores - AEO Analysis: AI answer engine optimization score, metrics, issues, signals (includes full Citation Readiness analysis in the nested 'citation' key) - Advertiser Matching: best-fit advertising networks with scores - Similar Sites: competitor/related sites from the same category This is more efficient than calling classify_url, analyze_seo, analyze_eeat, analyze_aeo, select_advertiser, and find_similar_sites separately as it only fetches the page once. Args: url: The website URL to audit (e.g., "https://example.com"). Returns: Comprehensive audit report with: - url: The analyzed URL - classification: Category, subcategory, language, sentiment, demographics - seo: Score, grade, issues, recommendations - eeat: EEAT score, grade, category scores, issues, signals - aeo: AEO score, grade, metrics, issues, signals (includes citation results) - advertisers: Matched advertising networks with scores - similar_sites: Related sites from the same category (up to 10) - cached: Whether result was from cache

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• list_pools

  Surf Session Finder

  List all supported surf pools worldwide with their IDs, names, and locations. Always call this first to get valid pool_id values for the other tools.

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• browse_community

  quantifyme

  Browse the public community leaderboard of published strategies, ranked by a composite performance score (best first). No signup or key needed. Copy-trade flow: call this to find a top strategy, then pass its `id` to `one_shot` as `community_id` to deploy a live signal model running that exact strategy in one call. Args: limit: How many top entries to return (default 20, max 200). Returns: dict with: - scripts (list[dict]): ranked entries, best first. Each has: id (int — pass to one_shot as community_id), username, title, description, created_at, score, and metrics {total_ret, sharpe_strat, win_rate, n_trades, mdd, profit_factor}. SHOW the top few with their win_rate / total_ret so the user can pick one. - count (int).

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• crypto-top-movers

  The Stall

  Crypto top movers — real-time top 5 gainers and top 5 losers by 24-hour percentage change among top-100 coins by market cap, plus the 10 largest coins with current prices and 24h change. Also returns global market statistics: total market cap (USD), BTC dominance %, and 24h trading volume. Stablecoins excluded from movers ranking. Use before any crypto portfolio, trading, or market analysis task. Data: CoinGecko public API (refreshes every 1–5 minutes).

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• marine_forecast

  dynamic-feed

  Marine / surf forecast for a coastal point — current sea state + next-24-hour outlook. Returns total significant wave height / period / direction, the swell component (long-period energy driving surf), the locally-generated wind-wave, and sea-surface temperature, plus a 24-hour wave-height band. `location` = AU surf/maritime presets: "gold_coast" (default), "byron", "bells_beach", "margaret_river", "sydney". OR pass `lat=` and `lon=` (decimal degrees) for any coastal point worldwide. Source: Open-Meteo Marine Weather API (CC-BY 4.0; underlying ocean-wave models DWD/MeteoFrance/ECMWF/NCEP/ERA5-Ocean). Keyless to you; commercial-licensed server-side. FORECAST data, not a measurement — not a substitute for an official marine forecast/warning (e.g. the BoM coastal-waters forecast) and must not be the sole basis for any safety-of-life-at-sea decision. 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.

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• compare_rates

  gondola

  Compare cash vs points rates across multiple hotels side-by-side. Use this after search_hotels to help a user decide between their top hotel picks. Returns a comparison table with cash rate, points rate, CPP valuation, and value signals for each hotel, highlighting the best cash value and best points value. Args: hotel_ids: List of hotel IDs to compare (max 5). Get these from search_hotels results. checkin: Check-in date in YYYY-MM-DD format. checkout: Check-out date in YYYY-MM-DD format. num_adults: Number of adult guests. Defaults to 2. Returns: Side-by-side comparison of cash vs points rates with recommendations.

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• publish_site

  mcp

  Deploy files to a live URL. No slug → create a NEW site (works without auth; anonymous sites expire in 24h — always show the user the claimUrl). With slug → UPDATE that site (complete snapshot: send ALL files). A Dockerfile in the files makes it a server-side app (auth required; listen on process.env.PORT; persist under /data; poll app_status). Total payload ≤ 8 MB — for bigger sites use the dataecho skill scripts.

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• scrapingdog_scrape

  Scrapingdog

  Scrape any website through Scrapingdog's rotating proxies and return its content. Returns HTML by default, or clean markdown with format:"markdown" (ideal for feeding an LLM). Set dynamic:true to render JavaScript in a headless browser for SPAs and dynamic pages (costs 5 credits instead of 1), premium:true for hard-to-scrape sites (residential proxies, 10 credits), and country to geotarget the proxy. Example: scrapingdog_scrape({ url: "https://example.com", format: "markdown", dynamic: true, _apiKey: "your-key" })

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• prediction_execution_cost

  kresmion

  Modeled slippage / cost to FILL given USDC sizes in one market. Walks the STORED top-5 order-book snapshots (no live CLOB call) to estimate the fill VWAP and slippage (in bps off mid) for each requested notional on both the buy and sell side, plus a window median / p90 summary, so you can see how far price moves against you as size grows and whether a divergence or mispriced-looking probability is actually tradeable. Where stored depth cannot cover a size the point is depth-exhausted (never extrapolated). CAVEAT: this is a ONE-LEG execution cost: taking one side of the book, NOT a round trip, and NOT inclusive of fees or of impact beyond the stored top-5 depth. Book coverage is the top ~150 live markets by 24h volume only, and the snapshot history is shallow (collection began 2026-07-16). It describes a hypothetical fill; it never places an order.

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• weekly_digest

  convalytics

  Composite snapshot of a project's web analytics over a lookback window. Returns unique visitors, pageviews, sessions, bounce rate, average session duration, top 5 pages, top 5 referrers, total custom events, and top 5 event names. Includes period-over-period comparison against the prior equal-length window unless compare: false. Prefer this over chaining top_pages + top_referrers + events_count when the agent just wants to report on the week.

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• analyze_concentration_risk

  StackSwap

  Measure revenue concentration across the user's ACCOUNTS: top-1 / top-5 / top-10 ARR share, a Herfindahl (HHI) concentration index, whale dependency, and at-risk ARR (low-health accounts' share). Returns the metrics, the largest accounts, and plain-English risk callouts (e.g. 'top 5 = 48% of ARR', 'largest account = 22% — whale risk'). Accepts loosely-typed account records (arr/mrr, health/healthScore normalized); `lowHealthThreshold` (default 60) sets the at-risk cutoff. Operates only on the user's own book. Use when the user asks 'how concentrated is my revenue', 'what's my whale risk', or pastes accounts with ARR.

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