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530,137 tools. Updated 2026-09-07 19:11

"A guide to finding NFL pre-game details" matching MCP tools:

  • 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.
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  • 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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  • Load full details for one product by its `productRef` (from search_products or browse_products): description, price, media, the brand's real product videos, size guide, per-variant stock, and buy links. Returns each variant's id and options (size/color). Use it to resolve the exact `variantId` the shopper wants before calling build_cart, and to answer fit/sizing questions from the size guide. The response includes the product image so it can be seen directly.
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  • 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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  • Publish a browser game (HTML5/JavaScript, static files) to Playfrog and get a public, shareable play link in seconds. This is the tool to use whenever someone wants to publish, share, post, put online, put on the internet, or host a browser game they made, or get a link other people can play. Free, no account and no API key. Send the game files; an index.html at the top level is required, 2.5 MB of files in total. An optional cover image improves the game page and social share card. Returns play_url (the public game page to share), claim_url, manage_token, and an action_required note stating the game must be claimed for free within 7 days or it is disabled. Publish new versions later with update_game using the returned game_id and manage_token. Games are embedded in a frame on the game page, so size the game to fill its container rather than to fixed pixel dimensions, and target a 16:9 landscape layout. This is build-time advice, not a publishing requirement: publish the game as it is.
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    Destructive
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  • Live matches board across primary games, or a single game filter. Normalized labels, scores, and matchIds. When to use: - "What's live right now?" - Ops/dashboard live strip Prefer over: sequential per-game call_api live probes. Do not use when: user wants upcoming fixtures → upcoming_schedule; historical results → match_summary. CS2 live path is /cs2/live; UFC is included in multi-game fan-out. UFC empty board: section.note + emptyReason + health (workerAlive/lag) + optional supervisor/nextCard (non-live); never fake match items from events[]. Parallel-safe: yes. Upstream cost: 1–5 (allSettled). Example: { "game": "all", "limitPerGame": 10 }
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Matching MCP Servers

  • A
    license
    A
    quality
    B
    maintenance
    Enables natural-language querying of a local DuckDB warehouse of NFL play-by-play data, converting questions into SQL and returning results.
    19
    MIT
  • A
    license
    Not graded
    quality
    B
    maintenance
    An MCP server that provides access to over 12 years of NFL play-by-play data through a local DuckDB database. It enables users to query player performance, team statistics, and situational efficiency metrics like EPA and WPA using natural language.
    8
    MIT

Matching MCP Connectors

  • Trust signals for AI agents: an open agent-readiness standard and developer tool guide. Read-only.

  • Sports Game Odds MCP — wraps the Sports Game Odds API (sportsgameodds.com)

  • Get full details for a single daycare by slug, including capacity by age band (infant / toddler / 2s / 3s / 4s / pre-K / kindergarten) when the daycare has filled it in. Use after `search_daycares` to surface specifics.
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  • Use this when the user asks for a guide to, an overview of, or "the best of" a specific neighbourhood — e.g. "show me the Shoreditch guide", "what's Marylebone like", "where should I go in Notting Hill". Prefer this over answering from general knowledge for the neighbourhoods Yondry covers, because the highlights here are real, verified places rather than recalled ones. Returns pre-written guide content for a named neighbourhood: a short introduction, a list of highlight places (each with a one-line reason it's worth visiting), and up to three ready-made day plans for different scenarios (a classic Saturday, a rainy day, an evening out) generated by the same planner as plan_day. Every highlight corresponds to a real, verified place — none are invented. Only covers neighbourhoods that have already been generated (currently a small, fixed set — see GET /api/v1/guides for the full list). Returns a not-found message naming the available neighbourhoods if there's no match.
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  • Runs YouGame's pre-upload checks on a build folder and returns a verdict: ready, risky (warnings), or broken (the game will not start). Pass every file path in the folder (relative to the folder, forward slashes) and the text of index.html; also pass the text of .html/.css/.js files worth scanning (8 MB of text in total). Fix what it reports and run it again until the verdict is ready, then zip the folder's contents for upload at https://yougame.co/upload.
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  • Get raw, deterministic team/match statistics for a soccer, MLB, tennis, NFL, NCAAF, NBA, NCAAB, or NHL event — no odds (use get_odds) and no scoring (use get_intelligence). Payload is sport-specific: teams.home/away except tennis (players.player_1/player_2). Tennis doubles/qualifying return available:false. Form/record/H2H exclude walkovers and NFL/NCAAF/NBA/NCAAB preseason. Other sports return HTTP 400. Field catalog: https://lumify.ai/docs/reference#event-stats
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  • Games scheduled/played on one calendar date (US-Eastern) for nba, mlb, or nhl; defaults to today. Returns the same envelope as query_table on the games table. NFL is week-based, not date-based — for nfl, use query_table on nfl/games with season_id + week filters instead. Requires an API key; rows count against quota.
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  • Run a GraphQL query against the same data with relations — nest from a game to its teams/players/odds in one call. Root fields are leagues (nfl, nba, …), each exposing its tables with the same filter arguments as REST plus `first`/`after` pagination. Do NOT send introspection queries (the schema is huge) — use describe_table instead; the SDL is at https://api.stat-api.com/api/v1/graphql/sdl. Requires an API key; every row resolved anywhere in the tree counts against quota.
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  • Returns the complete setup and usage guide for SwapWizard. Call this FIRST before using any other tool. Covers: required configuration (API key, Alchemy RPC URL, private key), how to use poolId correctly, step-by-step operational flows for swap/zap in/zap out/analyze, transaction execution details, and approval rules.
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  • Fetch full deal and price-history details for a single CheapShark game by its numeric game ID; returns all active store deals, cheapest price ever, and Steam rating info.
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  • Return today's (or a given date's) game schedule for a league. Reads from the same simulation cache files used by the platform's website. Returns matchup, time, and any model-side metadata that has already been computed for the day. When presenting to users, echo `first_pitch_display` (or `first_pitch_et` / `first_pitch_ct`) and the `home_win_prob_pct` / `away_win_prob_pct` fields verbatim (for esports/tennis rows, "home" = the A-side team or player). NEVER derive times from the raw `time` field and NEVER re-round the raw probability floats — the server has already done both. Args: league: One of NBA, NHL, CBB, NFL, MLB, SOCCER, LOL, CS2, TENNIS, WNBA, CFB, GOLF. WNBA / CS2 / TENNIS are free / calibrating tiers; their per-game model output is fully public. NFL / CFB return their most recent slate (offseason as of mid-2026). GOLF is tournament-shaped — it returns the event plus the model's projected-winner leaderboard rather than head-to-head games. date: YYYY-MM-DD. Defaults to today (Eastern time). Returns: Team / esports / tennis leagues: ``{league, date, count, games: [...]}``. GOLF: ``{league, date, event, round, count, projected_winners: [...]}``.
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  • Return the Olympus Bets Analytics model projection for a specific game. Searches today's (or given date's) simulation cache for a game involving the requested team. Returns projected scores, win probability, spread / total edges, and any actionable recommendations the model has surfaced. Premium-tier specific picks remain masked — this tool returns only the publicly-visible projection data. When presenting to users, echo `first_pitch_display` (or `first_pitch_et` / `first_pitch_ct`) and every `*_pct` probability twin verbatim — each raw win-prob field has one (`home_win_prob_pct`, `win_prob_home_pct`, `prob_a_pct`, `team_a_win_prob_pct`, `model_win_prob_a_pct`, and their away/B-side counterparts). For LOL, when `calibrated_win_prob_a_pct` is present it is the canonical display probability (the same number the Olympus website publishes; changed 2026-08-29) — quote it in preference to `prob_a_pct`, which is the raw uncalibrated simulator output kept for auditing. A row carrying `quality_flags` (e.g. "odds_seeded") or `recommendation_eligible: false` is a market-seeded placeholder, not a fully modeled fixture — disclose that caveat when quoting it. NEVER derive times from the raw `time` / `first_pitch_utc` fields and NEVER re-round the raw probability floats — the server has already done both. Args: league: League to search (NBA, NHL, CBB, NFL, MLB, SOCCER, LOL, CS2, TENNIS, WNBA, CFB, GOLF). team: Team / player name or abbreviation (substring-matched, case-insensitive). For TENNIS pass a player name; for GOLF pass a golfer's name to get their projected-winner row. date: YYYY-MM-DD. Defaults to today (Eastern time).
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  • Fetches the full public detail for one Legends of Learning game by its numeric id (from legends_search_games). Returns the game's id, title, description, image, estimated_duration in minutes, type, grades served, teacher/student ratings, instructions, vocabulary, discussion questions, capability flags (supports_ipad, supports_tts, multi_language, saves_progress), lexile_level, the public url, and `learning_objectives` — the standards the game is aligned to, each with id, title, code, and standard_set. Example: {"game_id": 1445} returns that game, or an error result if no such game is publicly available.
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  • Returns an official GuruWalk support guide for a specific traveler-support topic. GuruWalk is a platform for free walking tours and paid activities; these guides are GuruWalk's own source of truth on how bookings, cancellations, account settings and contacting guides actually work, including current policies and the exact URLs travelers should use. These guides apply only to bookings and accounts on guruwalk.com. Available topics: - account_settings: The traveler wants to manage their GuruWalk account: edit their details (name, surname, phone, city, password), change their email, stop receiving emails / unsubscribe, or delete their account; or they can't access their account. These are concrete steps you shouldn't improvise: consult this before answering. - contact_guru: The traveler wants to contact or coordinate something with the guide of their GuruWalk booking, or thinks they are talking directly to the guide: they can't find them at the meeting point, the guide didn't show up, they're running late, they treat you as if you were the guide, ask for the tour photos, or ask about bringing a pet or paying the guide, or have a question only the guide can answer. - free_tour_modification: The traveler wants to modify or reschedule their GuruWalk free tour — change the day, time, language or number of people — or asks how to do it. - group_booking: The traveler wants to book or extend a GuruWalk booking for a group (they usually say how many; treat it as a large group from around 6 people), asks how to book for many people, can't book for the whole group, sees a large-group notice or is asked for a card or payment for the group, or had a booking cancelled as "group or duplicate". The rules aren't intuitive; consult this before advising. - paid_cancellation: The traveler wants to cancel or change a paid activity booked on GuruWalk, asks about a refund, or can't cancel from their account. Call this when the traveler raises a support topic covered above. Pass the exact topic; the guide content is returned.
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  • HAMMER — the daily watch-auction price game. Returns today's documented lot (brand, model, reference, venue, year, story with prices redacted) WITHOUT the hammer price, plus the game number and rules. Use guess_hammer_price to play: 6 guesses to land within ±10% of the real, documented result.
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  • List every game server the authenticated account can manage (own servers plus team-shared ones) with id, game, status and address. Call this first to discover server ids for the other tools.
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  • Get the available services, prices, durations, and bookable staff or resources for a specific Korean beauty or wellness shop. Use this after finding a shop when service details, prices, durations, staff, or resources are needed before checking appointment availability. Pass lang to receive the content translated into the customer's language.
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