"Top 100 MCP Servers Ranked by Weekly Downloads" matching MCP tools:

• market_overviewA

  Tradingale-mcpA

  ONE SNAPSHOT OF BOTH MARKETS, no arguments. Top instruments across crypto AND US stocks together, ranked by Martingale Score (0-5), with their Startingale readings. Use this to open a conversation or answer "how do things look right now". For a single asset class use crypto_overview or stock_overview; to choose the count or filter, use search_instruments. Answers in formatted text. Costs 10 units of the monthly quota: the most expensive call, since it reads both catalogues; the single-class overviews cost half, so do not call this in a loop.

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• market_overviewA

  mcpA

  ONE SNAPSHOT OF BOTH MARKETS, no arguments. Top instruments across crypto AND US stocks together, ranked by Martingale Score (0-5), with their Startingale readings. Use this to open a conversation or answer "how do things look right now". For a single asset class use crypto_overview or stock_overview; to choose the count or filter, use search_instruments. Answers in formatted text. Costs 10 units of the monthly quota: the most expensive call, since it reads both catalogues; the single-class overviews cost half, so do not call this in a loop.

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• get_class_standingA

  Vocab VoyageA

  Use this when a signed-in student asks how they're doing in their tutor class, who's ahead, who their rival is, or who they should challenge. Auth-only. Returns weekly XP rank inside the user's tutor class plus a winnable rival suggestion (similar weekly XP). NEVER name the class leader unless the user is rank #1 — the response uses '(top student)' as a deliberate placeholder. Renders the interactive class-standing widget on supporting hosts; falls back to markdown elsewhere. Anonymous callers receive a sign-in prompt.

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• evaluate_symbolA

  dubai-property-signalA

  Return the bottom/top verdict for one Dubai area property market (42 areas: downtown, marina, palm, jvc, businessbay, dubaihills …). Accepts area id or English name. zone = strong_buy|buy|neutral|sell (no strong_sell tier), score -100..+100. GRADING — the verdict is the graded band of that same score (positive = bottom, negative = top), so a mid score such as -52 is reported as neutral by design: strong_buy >= +80, buy >= +70, neutral between -70 and +70, sell <= -70 (this market has no strong_sell tier). Price = AED/sqft anchored to published Bayut/DLD figures. Informational only. PAY: $0.01 per call via x402 (USDT on X Layer). No account, no signup, no commitment; retry with the PAYMENT-SIGNATURE header when you get the 402 challenge. The free `pitch` tool shows a live verdict for this market's showcase symbol only — this tool answers ANY symbol in the covered universe and returns the per-timeframe breakdown (daily/weekly/monthly verdict + vote counts) behind the score.

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• evaluate_symbolA

  fx-signalA

  Return the bottom/top verdict for one currency pair (48 pairs in snapshot: 24 vs USD like EURUSD=X, JPYUSD=X + 24 vs KRW like USDKRW=X, JPYKRW=X). Accepts EUR / EURUSD / EURUSD=X forms. zone = strong_buy|buy|neutral|sell|strong_sell, score -100..+100 (bottom>0, top<0). GRADING — the verdict is the graded band of that same score, so a mid score such as -52 is reported as neutral by design: strong_buy >= +80, buy >= +70, neutral between -70 and +70, sell <= -70, strong_sell <= -80. Snapshot-based (refreshed from the flagship FxAI scan engine). Informational only. PAY: $0.01 per call via x402 (USDT on X Layer). No account, no signup, no commitment; retry with the PAYMENT-SIGNATURE header when you get the 402 challenge. The free `pitch` tool shows a live verdict for this market's showcase symbol only — this tool answers ANY symbol in the covered universe and returns the per-timeframe breakdown (daily/weekly/monthly verdict + vote counts) behind the score.

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• download_crossrefA

  xpay Academic Research CollectionC

  Attempt to download PDF of a CrossRef paper. Args: paper_id: CrossRef DOI (e.g., '10.1038/nature12373'). save_path: Directory to save the PDF (default: './downloads'). Returns: str: Message indicating that direct PDF download is not supported. Note: CrossRef is a citation database and doesn't provide direct PDF downloads. Use the DOI to access the paper through the publisher's website.

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• nz_fuel_cost_calculatorA

  Calculate.co.nz NZ CalculatorsA

  Work out the fuel cost of a trip, and of regular driving, in New Zealand. Use this for ANY question about what fuel costs: a road trip, a commute, the running cost of a car, or comparing two vehicles. Common use cases: 'what does it cost to drive Auckland to Wellington', 'how much fuel money do I spend a year commuting', 'is a 6L/100km car worth it over an 9L/100km one', 'petrol cost for 400km'. IMPORTANT about consumption: this takes litres per 100 km, which is how New Zealand quotes fuel economy and what is printed on a vehicle's fuel economy label. A LOWER number is a more efficient car. If a user gives miles per gallon or kilometres per litre, convert it before calling this, or the answer will be confidently wrong. Args: distance_km: Trip distance in kilometres. consumption_l_per_100km: Fuel consumption in litres per 100 km. price_per_litre: Pump price in NZD per litre. Around 2.60 to 3.00 for petrol in 2026; ask the user rather than guessing if it matters. weekly_km: Kilometres driven in a typical week, for the running costs. Leave at 0 for a one-off trip, which returns zero for the weekly, monthly and annual figures rather than an error. Returns: Litres used, trip cost, cost per km, cost per 100 km, and weekly, monthly and annual running costs. cost_per_100km depends only on the vehicle and the pump price, so it is the figure to compare cars with. monthly_cost is a twelfth of the annual figure, not weekly x 4.33. Covers fuel only. Not road user charges, which diesel and electric vehicles pay by the kilometre, and not servicing, tyres, insurance or depreciation.

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• suburbs_finder_searchA

  Microburbs Australian Property DataB

  Boolean-AND range filter over suburb metrics, single-column sort, paginated. Every row carries its `rank` — position in the ranked result (1 = top of the sort, out of `meta.total`). When sorting by a median or a growth, the actual value is also shown for the first 5 and last 5 rows of the page; for any other suburb's number, call the per-field endpoint (market/*, forecast/*). **Paging:** a page is capped at 25 rows. A bigger `limit` is clamped, not rejected — so always read `meta`: `total` is the full match count, `has_more` says whether rows remain, and `next_offset` is the `offset` to pass for the next page. A "top 50" needs two calls, each charged. Flat 30c. **Price: 30¢ per call.**

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• get_seasonality_indexA

  Agent CentralB

  Get a year-independent, unlabeled 52-week ISO-week demand curve for ASINs, built from available historical sales, sessions, and revenue data. At least 365 distinct daily source records per ASIN are required. Index value of 1.0 = average week, >1.0 = above-average demand, <1.0 = below-average. Retail events are not assigned to static ISO weeks. Use without ASIN for a summary of all ASINs ranked by seasonal amplitude. Use with ASIN for the available weekly curve, coverage_summary, and availability metadata. An unavailable result means the curve has not been computed; it never represents zero demand.

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• browse_collectionsA

  Remember Me CollectionsA

  Browse published Bible verse collections. Search by keyword, filter by language, sort by popularity. Use this when the user looks for Bible verses to memorize on a theme (e.g. hope, anxiety, forgiveness) or for a ready-made memory list, such as one for a church group. Collections their publisher keeps out of Discover (`listed` false) are not returned; get_collection_detail still opens them by id. Each result includes the collection's raw cover `image` — the URL the publisher set, or null if they set none (the app may still show an auto-generated cover when null). This is the stored value, not the computed display image. Args: search: Search term to filter by name, description, or publisher name. language: Language code, optionally with a region or script (e.g. "en", "de", "pt-BR", "zh"). ordering: Sort order: -downloads (default), -created, name. limit: Number of results (1-100, default 20). offset: Starting position for pagination.

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• audit_dependency_treeA

  Commit — Supply Chain Risk ScoringA

  Map the full dependency tree of an npm package and identify CRITICAL supply chain risks at every level. Unlike auditing a flat list of packages, this tool traverses the dependency graph — showing not just your direct dependencies but also what your dependencies depend on. Hidden CRITICAL packages (sole publisher + >10M weekly downloads) often lurk 1-2 levels deep. Risk flags: - CRITICAL: single npm publisher + >10M weekly downloads — sole point of failure for a massive attack surface - HIGH: sole publisher + >1M/wk, OR new package (<1yr) with high adoption - WARN: no release in 12+ months (potential abandonware) depth=1 (default): root package + all direct dependencies depth=2: also traverses one more level for any CRITICAL/HIGH direct deps (reveals hidden exposure) Examples: - audit_dependency_tree("express") — see all of Express's deps and their risk scores - audit_dependency_tree("langchain", 2) — reveal transitive CRITICAL deps 2 levels deep - audit_dependency_tree("@anthropic-ai/sdk") — audit Anthropic SDK full tree Use this when someone asks: - "What am I really depending on?" - "Are my dependencies' dependencies safe?" - "Show me the full supply chain risk for package X"

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• browse_collectionsA

  Remember Me – Bible Verse CollectionsA

  Browse published Bible verse collections. Search by keyword, filter by language, sort by popularity. Use this when the user looks for Bible verses to memorize on a theme (e.g. hope, anxiety, forgiveness) or for a ready-made memory list, such as one for a church group. Collections their publisher keeps out of Discover (`listed` false) are not returned; get_collection_detail still opens them by id. Each result includes the collection's raw cover `image` — the URL the publisher set, or null if they set none (the app may still show an auto-generated cover when null). This is the stored value, not the computed display image. Args: search: Search term to filter by name, description, or publisher name. language: Language code, optionally with a region or script (e.g. "en", "de", "pt-BR", "zh"). ordering: Sort order: -downloads (default), -created, name. limit: Number of results (1-100, default 20). offset: Starting position for pagination.

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• info_platformmetrics_get_platform_infoA

  Gate Info MCPA

  One-shot protocol profile by name and scope. scope=full adds competition_metrics{} for CEX venues (spot/derivs/depth/OI core+extended/PoR). Set include_oi_symbol_detail=true with oi_symbol_limit (1-100, default 20) for top-N OI breakdown. Ranked multi-protocol list→search_platforms. Daily time series→get_platform_history. Read-only public research data. No account access, no order placement or fund transfers. Not investment advice.

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• buffett_valueA

  SEC Fundamentals APIA

  Find high-quality US public companies trading below intrinsic value: the Quality Score (see buffett_scan) combined with a value score from the previous close (FCF yield, 10-year owner-earnings DCF margin of safety, P/E), ranked by combined_score, the mean of the two (0-100 each). Rows also carry market cap, owner-earnings yield and intrinsic value. Use buffett_scan for quality alone; it needs no price data. Foreign private issuers (20-F filers, e.g. Chinese ADRs) are excluded by default: they screen cheap for structural reasons fundamentals cannot see. Methodology v3; heuristic screen, not investment advice. Cost: $0.25 per call; unpaid calls return a payment-required error.

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• get_all_forex_quotesA

  TipRanksA

  Real-time forex quotes: the most-traded pairs, each with a display name. The feed carries 1,550 pairs in alphabetical order, which is far more than one response can hold — so this returns the most prominent `limit` of them (majors first, then by volume), and the response states how many were left out. Pass `symbols` for specific pairs, or call get_forex_quote for a single one. Read `note` before summarising: it says how many pairs the slice covers out of how many exist, so a "top pairs" answer is not mistaken for the whole market. `volume` on a forex row is a per-venue tick count, not market turnover — FX is over-the-counter and most pairs report 0. It does not rank the market. Args: symbols: Comma-separated pairs (optional; overrides the ranked slice) limit: How many ranked pairs to return (optional)

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• seo_get_ranked_keywordsA

  Manifold MCPA

  Keywords a domain or one page ranks for in the top 100, with position, URL and metrics. Use when: "what does competitor.com rank for", "which keywords send traffic to this page", building a list of a site's topics. Not for: keywords a competitor has that you do not, use seo_get_keyword_gap. One keyword's position, use seo_get_position. New keyword ideas, use seo_search_keywords. Returns: List. rows[]: keyword, rank, type (organic, featured_snippet or local_pack; ads excluded), previous_rank (null = did not rank at the provider's previous update), is_new, url, volume, kd, cpc, intent, traffic (estimated monthly visits from this keyword), serp_features[] (SERP feature types on the keyword's page). A keyword can appear once per type. Sorted by traffic, highest first. rank counts every element on the page, ads and features included, so a keyword in the organic top 100 can read rank 104. null = provider has no data. A traffic figure saved before 1 November 2026 may be on DataForSEO's older traffic model: take a new baseline rather than compare across that date. Cost: 5 + 5 per 100 rows. Default 100 rows = 10 credits. Cached 7 days. Example: {"target": "competitor.com", "limit": 200}

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• seo_get_keyword_gapA

  Manifold MCPA

  Keywords one competitor ranks for in the top 100 that the target does not rank for at all. Use when: "what does competitor.com rank for that we do not", "find gaps against X", content opportunities from a rival. Not for: everything a domain ranks for, use seo_get_ranked_keywords. Finding who the competitors are, use seo_get_serp_competitors. Fresh ideas around a topic, use seo_search_keywords. Returns: List. rows[]: keyword, competitor, competitor_rank, competitor_url, volume, kd, cpc, intent. Sorted by volume. Cost: 5 + 5 per 100 rows. Default 100 rows = 10 credits. Cached 7 days. Example: {"target": "example.com", "competitor": "competitor.com", "limit": 100}

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• seo_audit_fastA

  App-KitA

  Quick SEO audit of a public website (up to 10 pages): score 0-100 by check group, failed checks, top 5 losses. The site root is audited: URL path and query are dropped (https://example.com/page?x=1 -> https://example.com/). Waits up to 60 s for the result, sending progress. If not done by then, returns status=running and a handle: call seo_audit_status(handle) every poll_after_s seconds while status=running. Rate-limited per day; call quota_status for remaining calls. One domain: up to 5 audits per day.

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• get_bing_query_statsA

  SEO GSC Wizard MCPA

  Use this when the user asks which Bing searches bring them traffic. Top Bing Webmaster Tools queries for a property, aggregated across the window (clicks, impressions, CTR as a 0-100 percentage, and impression-weighted average position). Not for Google queries: use query_top_queries; for one page use get_bing_page_queries. Bing reports only its top queries, dated by week: a window selects whole weeks, and the rows do not sum to get_bing_traffic_stats totals. Rows are sorted by clicks, then impressions, highest first. `rowCount` counts the rows returned (at most `limit`), `totalRows` the distinct queries Bing reported before that cut. Returns notConfigured: true when no Bing Webmaster API key is set up for the property.

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• apps_get_top_chartsA

  Manifold MCPA

  A store's top chart (free, paid, grossing or new) overall or in one category, in chart order. Use when: "top free business apps", "what is grossing in the App Store's finance chart", spotting rising apps in a category. Not for: apps matching a word, use apps_search_apps. One app's details, use apps_get_app. Returns: List. rows[]: rank, app_id, title, url, developer (Google Play only), rating, ratings_count (App Store only), is_free, price, currency. Cost: 1 credit per 100 rows. Default 100 rows = 1 credit. Cached 1 day. Can take up to a minute. Example: {"store": "app_store", "chart": "top_free", "category": "health_and_fitness"}

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• maps_search_businessesA

  Manifold MCPA

  Businesses on Google Maps within a radius of a point, filtered by category, rating, review count or claimed profile. Not ranked. Use when: "dentists within 10 km of Manchester with fewer than 20 reviews", "unclaimed restaurants in Leeds", local prospect lists for an agency, counting a category in a town. Not for: who ranks on Maps for a search, use maps_search_places. One business in full, use maps_get_place. Companies by industry or headcount (larger firms, not storefronts), use leads_search_companies. Returns: List. rows[]: place_id, cid, name, category, address, phone, website, domain, rating (stars out of 5), reviews, is_claimed, status (open, closed, temporarily_closed, closed_forever), maps_url and the other Maps profile fields. website null = the profile lists none, a prospect for web work. rows_available is the total matching. Cost: 4 credits, plus 12 per 100 rows. Default 100 rows = 16 credits. Cached 7 days. Example: {"latitude": 53.4808, "longitude": -2.2426, "radius_km": 10, "categories": ["dentist"], "max_reviews": 20}

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