"A server for finding football predictions" matching MCP tools:

• feed_sourcesA

  data-breach-detectorA

  List the public disclosure feeds this server aggregates, how many disclosures are cached per source, each source's newest item and an honest staleness flag, plus cache ages. Takes no arguments. Also states the scope plainly: public feeds only — no .onion access, no arbitrary fetching or crawling, no credential or PII output. Check this first if another tool's answer looks thin: a stale live feed is a finding, not background noise.

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• query_eventsA

  Lumify Sports IntelligenceA

  Search events with a natural-language query instead of structured filters — e.g. 'live nfl games today' or 'college basketball this week'. Rule-based (not an LLM): recognizes sport (nfl/nba/mlb/nhl/tennis/soccer/ncaaf/ncaab + aliases like hockey, american football, college basketball), status (live/final/upcoming/…), dates (today/tomorrow, this week, next N days, YYYY-MM-DD ranges). Bare 'football' is ambiguous and left unrecognized. Response includes interpreted filters, equivalent REST call, and unrecognized_terms. Prefer list_events when you already know the structured filters you want.

  ConnectorAPI key

• content_discoveryA

  gapup-mcpC

  Discover content franchises within a domain. Two modes: pass `tag` for a precise taxonomy match (every game tagged 'co-op'), or pass `query` for free-text SEMANTIC search powered by pgvector embeddings — finding franchises by meaning ('dark atmospheric games about isolation') even when no literal tag matches. Results are verifiable: tag mode carries tag confidence/corroboration, semantic mode carries a similarity score; both carry entity freshness. When to use: an agent wants a domain-scoped shortlist by tag or by intent. Inputs: a domain plus either a tag or a free-text query.

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• content_discoveryA

  mcp-knowledgeC

  Discover content franchises within a domain. Two modes: pass `tag` for a precise taxonomy match (every game tagged 'co-op'), or pass `query` for free-text SEMANTIC search powered by pgvector embeddings — finding franchises by meaning ('dark atmospheric games about isolation') even when no literal tag matches. Results are verifiable: tag mode carries tag confidence/corroboration, semantic mode carries a similarity score; both carry entity freshness. When to use: an agent wants a domain-scoped shortlist by tag or by intent. Inputs: a domain plus either a tag or a free-text query.

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• content_discoveryA

  gapup-mcpC

  Discover content franchises within a domain. Two modes: pass `tag` for a precise taxonomy match (every game tagged 'co-op'), or pass `query` for free-text SEMANTIC search powered by pgvector embeddings — finding franchises by meaning ('dark atmospheric games about isolation') even when no literal tag matches. Results are verifiable: tag mode carries tag confidence/corroboration, semantic mode carries a similarity score; both carry entity freshness. When to use: an agent wants a domain-scoped shortlist by tag or by intent. Inputs: a domain plus either a tag or a free-text query.

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• list_investment_thesesA

  crashtestyourstrategyA

  Discover the investment-thesis catalog. Each entry is a descriptive case study that pairs an economic framework with a rule-based portfolio and the synthetic + historical stress evidence for that allocation. Returns one compact summary per thesis (slug, title, one-liner, tags, risk tiers, framework summary, headline finding). Call get_investment_thesis(slug) for the full framework / portfolio / stress evidence, or read the thesis://{slug} resource. Descriptive, not advisory — the agent decides what is suitable.

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• lookup_provider_taxonomyA

  mcpB

  Look up a NUCC provider taxonomy code (the specialty codes used on HIPAA transactions + NPI registrations) or search by keyword. Returns classification + type + optional specialization. Source: NUCC Health Care Provider Taxonomy Code Set (public; CMS-accepted). WHEN TO USE: Resolving a NUCC provider taxonomy code to its specialty description. WHEN NOT: For finding a provider by specialty in a region (not yet implemented).

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• get_predicted_neurotransmittersA

  VirtualFlyBrainA

  Get the PREDICTED neurotransmitter(s) for a Drosophila neuron class — itself or any subclass — from per-instance connectome predictions (each reconstructed neuron carries a predicted transmitter with a confidence). Use this for "what neurotransmitter does <cell type> use?" when you want the data-driven prediction and its confidence. By default results are aggregated to flat per-class rows (one per cell type × neurotransmitter) with instance counts, percent_of_class and mean_confidence; set aggregate=false for one row per individual neuron. Set split_by_dataset=true to get one row per (cell type, neurotransmitter, dataset) so you can see agreement across connectomes. The neurotransmitter is reported as a GO secretion term (nt_id/nt_label), the same id space as get_known_neurotransmitters. This is distinct from get_known_neurotransmitters, which returns the ontology-curated classification without confidence. CONSTRAINTS: neuron class terms only (FBbt id or label); use search_terms with filter_types ["neuron","class"] to canonicalize. RECOMMENDED: exclude_dbs defaults to ["hb","fafb"]; pass [] for all datasets.

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• list_eventsA

  infersportsA

  List the fixtures for a calendar day — or a bounded [date, date_to] range. Unlike list_today_matches (today + anything still live), this is a strict window for whatever ``date`` you ask for. Pass ``date_to`` (inclusive, max 31 days after ``date``) to cover a whole tournament window in ONE call — "all group-stage matches June 11–28" needs no per-day loop. UTC is canonical: pass an IANA ``timezone`` and the day boundaries are computed in that zone (so "June 12 in Shanghai" excludes a match that is still June 11 / already June 13 locally); each fixture keeps its UTC ``scheduled_at`` and adds ``scheduled_at_local``. Capped to ``limit`` (``truncated`` flags overflow) — narrow with sport/status/league rather than paging. Args: date: REQUIRED calendar day "YYYY-MM-DD" (e.g. "2026-06-12") — the window start. date_to: optional inclusive end day "YYYY-MM-DD" (max 31 days after ``date``); omit for a single day. timezone: optional IANA timezone (e.g. "Asia/Shanghai", "America/New_York") for the day boundary; default is the UTC day. sport: optional filter — "football" or "basketball". status: optional filter — "scheduled", "live" or "finished". league: optional league filter — a name (fuzzy-matched, e.g. "World Cup") or an external id ("lg_…"). limit: max fixtures to return (1–200, default 50).

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• scan_slateA

  infersportsA

  Scan today's whole slate in ONE call — each fixture with honest status + value/arb signal. The batch alternative to looping find_match → get_sharp_line per match. Returns every fixture in the filter with its status (finished is excluded from "live"), live score/clock, and a pre-computed value/arb signal; value/arb matches are sorted to the top and the list is truncated to ``limit`` (so truncation drops the quiet ones). Line movement is NOT included (that needs the opening lookup) — drill into a single fixture with get_opening_line. DETECTION ONLY / read-only. Args: sport: optional filter — "football" or "basketball". status: optional filter — "live" | "scheduled" | "finished". league: optional league filter — a name (fuzzy-matched, e.g. "World Cup") or an external id (lg_…). markets: optional — limit the value/arb scan to "1x2"/"asian_handicap"/"totals" (default all). period: optional — "full_time" or "half_time" (default both). min_edge_pct: value threshold for the per-match signal (default 1.0). min_margin_pct: arbitrage threshold for the per-match signal (default 0.0). only_signal: if true, return only fixtures that have a value or arb signal. format: odds format — decimal | hk | malay | american | indonesian | probability. limit: max entries to return, signal-first (default 20, max 100).

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• explain_findingA

  MalinoisA

  Returns the plain-language meaning and step-by-step fix for one Malinois finding. Use it while helping the user fix an issue reported by scan_app, or when they ask what a finding means. Pass the rule_id exactly as scan_app returned it. Read-only, no network, instant.

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• find_tripsA

  Kompare travel searchA

  The quickest way to search: describe the trip in plain words and get bookable trips back in one call. travelType, one of: - ski: ski and snowboard holidays - golf: golf holidays - surf: surf camps and holidays - diving: diving holidays - hiking: hiking and walking holidays - charter: package holidays: sun and beach trips with flight and hotel - cycling: cycling holidays - football: football trips: a match ticket with travel and hotel - carrental: car rental - f1: Formula 1 race trips - running: running races abroad, marathons, running camps and trail tours - americanfootball: NFL game trips - yoga: yoga retreats - triathlon: triathlon races and training camps - cruise: cruises - coach: coach (bus) tours - holidayhome: holiday homes and cottages - roundtrip: round trips and guided tours through several places - citybreak: city breaks - dance: dance holidays - wellness: wellness, spa and retreat stays - safari: safaris - culture: culture trips: art, music, opera, history and theatre - sportsevent: trips to sports events other than football, F1 and NFL - camping: camping holidays: tents, mobile homes and campsite cabins - hunting: hunting trips - culinary: food and wine trips - fishing: fishing trips - language: language courses abroad - racket: padel and tennis trips - motorcycle: motorcycle tours - riding: horse riding holidays - birding: birdwatching trips - sailing: sailing holidays - concert: coach trips to concerts - umrah: Umrah and Hajj packages places: destinations, ski areas, regions or countries in plain words, English or Danish ("Ischgl", "Østrig", "Costa del Sol"). Leave it out for anywhere. When: startFrom/startTo (the window the trip starts in) or months. Party: adults and children, since prices depend on them. Optional: durationDays, maxPricePerPerson, sort (best, cheapest, soonest), limit. Response: { understood, ...{ total, accommodationCount, offset, results: [{ name, country, destination, stars, guestRating, tripsAvailable, trips: [{ start, end, durationDays, adults, children, price, pricePerPerson, currency, priceConfirmedHoursAgo, priceBeforeDiscount, transport, meals, unit, seller, bookingUrl }] }] } } - understood says how the request was read: the places searched, placesNotFound and placesAmbiguous. When a place was not found or is ambiguous, tell the user instead of presenting other trips as theirs. - price is the whole party's price; pricePerPerson divides it. Quote them as given, in currency — never convert or round them into a different claim. - priceConfirmedHoursAgo is how many hours ago the seller's own site last showed this price. Under 24: present the price as current. Older: say when it was last confirmed ("3 days ago") and that it may have changed since, the more likely the older it is. null: the age is unknown, so say the price may have changed. The seller's site, through bookingUrl, always shows the price that applies. - trips holds the first few dates in sort order; tripsAvailable says how many more exist. Page with offset (it counts accommodations). - seller is the travel agency that sells the trip. bookingUrl opens that trip on the seller's site — give it to the user as the way to book. It is null when the seller can only be compared, not booked, through Kompare. - start/end are the trip's own first and last day. When nothing matches, the response holds alternatives (counts with one filter removed) to suggest what to relax. When no place matched at all, it holds a message and nothing was searched. For a filter this tool lacks (meal plan, stars, transport, ski pass, distance to the lift, ...) use search_listings.

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• estimate_flipA

  RuneScape Wiki MCP: GE Analytics & ReferencesA

  Calculate RS3 resale-profit scenarios after seller tax. ESTIMATE ONLY; never places an order. Use get_item_details for current records/comparisons or lookup_item to resolve names. - itemId=4151 means Abyssal whip, not a quantity. quantity scales total investment, tax and profit without changing per-unit margin. - Omitting both prices gives identical buy/sell prices, usually a tax loss. Supply itemId and both prices to calculate without network access. - Seller tax is 2% of each unit's sell price, rounded down. Bonds and sales at 50 coins or less are exempt. - With quantity=20 and buyLimitRemaining=5, quota profit covers five units while requested totals still cover twenty. fillTimeMinutes converts full-request profit into an hourly rate, including assumed quota waits. Both inputs are caller assumptions, not observed limits or fill predictions. - Sampled prices lag live offers. Reads are uncached and require no credentials. HTTP defaults to 60 requests/IP/minute; wait for Retry-After after 429.

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• record_finding_verdictA

  aictrlA

  Apply a post-hoc triage verdict to a finding that was previously recorded via record_finding. Used by the /reply-to-code-review flow to persist whether a finding is TRUE / FALSE / UNCERTAIN and the FIX / DEFER / IGNORE action taken. The finding is located only by the exact `finding_id` returned by list_pr_findings, on ANY lifecycle status (open, fixed, or dismissed — so verdicts still apply after a PR is merged and findings were swept to dismissed). Only findings recorded into the data layer (the aictrl-dev MCP path) can receive a verdict. Idempotent: re-applying overwrites the prior verdict. A not_found response is an application error; call list_pr_findings to refresh stale IDs and do not treat the write as successful. `judged_at_sha` is required: send the full 40-hex commit SHA of the code you actually read. A SHA that is neither the review SHA nor a later commit of the same PR is rejected with validation_error. `reasoning` is required too (#5364): a verdict whose reasoning cannot be audited later is not worth storing. Each write appends to the finding's judgment history; a re-judge from the same run at the same commit updates that run's own row rather than appending a duplicate. A FALSE verdict on an OPEN finding of severity MINOR or NIT (medium/low/info) also dismisses it as a false positive, with your `reason` as the note; on MAJOR or BLOCKER (high/critical) it stays a suggestion a person confirms. The result reports `autoDismissed` (and `autoDismissReason` when false). A dismissal is not reopened by this tool; a person can restore the finding from the pull-request page.

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  Destructive

  API key

• get_active_predictionsA

  OneQAZ Trading IntelligenceA

  Purpose: Currently pending predictions (outcome IS NULL). Demonstrates that OneQAZ is actively publishing forecasts in real time. Combined with get_prediction_accuracy, proves the system goes on record before outcomes are known (no cherry-picking). Triggers (casual questions too): "what are you predicting right now?", "지금 어떤 예측 걸려 있어?", "current forecasts?", "예측을 미리 기록해 두는 거야?", "anything on the record before it resolves?". When to call: to verify ongoing prediction activity. Prerequisites: none. Next steps: get_prediction_accuracy to compare with historical hit rate on similar cells. Caveats: returns most recent first. Output nature: Past calls and their realized outcomes, judged after the fact, with sample sizes and baselines. Past hit rates describe the past, not future outcomes.

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• nausika_tidesA

  NausikaA

  Tide predictions or station discovery at a coordinate (latitude, longitude). Default: predictions from the nearest NOAA station; outside US waters falls back to a global modeled-tide source (forecast horizon ~15 days — longer windows are truncated, not rejected). Set stations_only=true to discover stations (capped by limit). Tune the window with begin_date (YYYYMMDD) + range_hours, the reference with datum, and output units (metric/english). The modeled path reports range_m (peak-to-trough). Across most of the Mediterranean this is under 0.3 m, i.e. negligible for recreational navigation — the response says so explicitly, and you should not present such values as an actionable tide window. Tides matter on the Atlantic coasts, in the Gulf of Gabès, the northern Adriatic, and in the tidal streams of the Messina and Gibraltar straits. Example: latitude=37.77, longitude=-122.42. Chain nausika_geocode for place→coordinates; pair with nausika_marine_forecast.

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• ltl_quoteA

  warp-agent-mcpA

  Quote an LTL shipment — returns Warp's all-inclusive rate FAST (~1-2s) so the user sees a price immediately. The inline quote card shows the Warp rate plus a 'finding other carrier rates…' loading indicator. IMMEDIATELY follow up by calling ltl_market_options with the same parameters to fill in the multi-carrier comparison (~15s). Provide dims + commodity for an exact firm quote; if you don't have dims, quote anyway — it assumes a standard 48x40x48 pallet (FAK, no freight class) for an instant price. Don't block on asking for pallet dimensions; quote first, then pass real dims for an exact rate. When a palletized load could also move by box truck or van, quote LTL alongside those and show the cheapest valid mode. Do not editorialize the results. Do not declare a winner or recommend a specific carrier. Present Warp's quote first, then list market options as context. Let the user decide.

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• ltl_market_optionsA

  warp-agent-mcpA

  Multi-carrier LTL comparison — returns 30+ carrier rates ranked by price (slow, ~15s). Call IMMEDIATELY AFTER ltl_quote with the same parameters; this fills in the 'finding other carrier rates…' section the fast quote card was showing. Useful when the user wants to compare carriers or pick a specific one. Do not declare a winner or recommend a specific carrier; just present the ranked list.

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• get_tier1_recommendationsA

  Tier1 IT AssessmentA

  Maps only stable Tier1 finding identifiers to approved Tier1 services and public resources. Call after a Tier1 score or email-domain check. Do not submit prose, URLs, customer information, or invented identifiers. This tool performs no arbitrary fetching, makes no contact request, changes nothing, and stores nothing.

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• domain_check_batch_v1A

  Feranor ResilienceA

  Runs the full resilience check on up to 100 domains in a single call and returns the same scored report for each one: TLS certificate, security headers, DNS redundancy, response time, with every individual finding. Use it to audit a portfolio, to rank a list of vendors, or to re-check a fleet after a config rollout. A domain that cannot be reached is returned with its own error rather than failing the batch, and it is still charged, because the crawl was attempted. Do not use it for a single domain: domain_check_v1 is simpler and costs the same for one. Private, internal and localhost hostnames and IP addresses are rejected. Price: $0.01 per domain, dropping to $0.005 from 100 domains, up to 100 per call. One payment covers the whole batch (x402, USDC on Base). No signup, no API key.

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• edgar_full_text_searchA

  US Economic, SEC EDGAR & On-Chain Data (x402)A

  Full-text search across all SEC EDGAR filings since 2001 for a keyword or phrase. Wraps EDGAR's own full-text search index, so it covers every filer and form type, not just a single company. Useful for finding who is disclosing a particular risk, technology, litigation, or event across the entire market. When to use: cross-company research ("who is disclosing AI-related risk factors"), finding filings that mention a specific term, litigation or regulatory tracking. When NOT to use: you already know the company (use edgar_filings_feed, which is company-scoped and cheaper), or you need results from before 2001 (EDGAR full-text search does not cover that far back). Args: - query (string, required): search text. Wrap an exact phrase in double quotes, e.g. "\"material weakness\"". - forms (string[], optional): restrict to form types, e.g. ["10-K"]. - dateFrom (string, optional): ISO start date (YYYY-MM-DD). - dateTo (string, optional): ISO end date (YYYY-MM-DD). - limit (integer, optional, default 10): maximum hits to return (1-50). Returns structuredContent: { "query": "material weakness", "totalMatches": 10000, "totalIsApproximate": true, "count": 2, "hits": [ { "id": "0001193125-26-123456:doc.htm", "entity": "Example Corp.", "form": "10-K", "filedAt": "2026-03-01", "cik": "0000320193" } ], "source": "https://www.sec.gov/edgar" } "totalMatches" is a lower bound and "totalIsApproximate" is true once EDGAR's own count exceeds its display cap (10,000) — narrow with forms/dateFrom/dateTo for a precise count.

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