"Analyzing Football Statistics and Strategies" matching MCP tools:

• query_events

  Lumify Sports Intelligence

  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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• flipr_game_info

  flipr-x402

  Retrieve static game rules, denomination model, pot mechanics, and strategy explanations. Free -- no payment required. Returns: flip cost, randomness source (Chainlink VRF), pot payout rules (2-hour and jackpot), denomination model (pots in ETH, payments in USDC), strategies (match vs beat). Call this first to understand the game before using other tools. [pricing: {"cost":"0","currency":"USDC","type":"free"}]

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• save_strategy

  ensotrade

  Save a formula as a strategy IF it currently validates. Re-runs test_formula itself server-side first — never trusts a stale claim from an earlier call, since data moves — and only saves when that fresh verdict is 'validated'. Saved strategies appear in the user's own EnsoTrade dashboard under Strategies; they're private to that account, not published or shared with anyone else. Same parameters as test_formula: `symbol`/`formula` as usual, `timeframe`="scalp" (use `horizon`) or "15m"/"1h"/"4h"/"1d" (use `horizon_bars`), `hours` = history window tested. `label` is an optional short name for the strategy (e.g. "BTC 1h RSI reversion"). Requires an EnsoTrade Pro API key.

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• get_strategy

  Heista

  Read a creative strategy in full by its powersource_id. Returns the same brand-merged bundle shape as get_powersource(data) — buyer profile, 12 behavioral tensions, angles, narrative direction, tone of voice, selling points, CTAs, proof, brand story, homepage data, offering — projected through the public PowerSource API serializer. Use this when you already have a powersource_id (from list_strategies) and want the full strategy payload in one call, without the job_id round-trip that get_powersource needs. Archived strategies are excluded by default (parity with list_strategies). Pass include_archived=true to read archived strategies. Read-only, free, account-scoped.

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• compare_backtests

  Backtest360

  Run several strategies on the same data and compare side by side. One quota-counted call, but compute scales with the number of strategies. If the wall-clock compute budget is exceeded, the call fails with a tool error (504) instead of returning partial results — narrow the request (fewer strategies, shorter date range, coarser frequency) and retry. Args: data_source: Shared data source (same shape as run_backtest). strategies: List of {"label": str, "strategy": {...}, "execution": {...}?} entries. Labels need not be unique or id-safe — they are echoed back verbatim in the result. include_benchmark: Add a buy-and-hold benchmark to the comparison. response_detail: Shaping level applied to each strategy's result. trades_limit: Max trades per strategy when detail is 'full'. Returns: {"strategies": [{"label", "result"}, ...], "equity_curves": {...}, "alignment"?}, each result shaped at the requested detail. When a benchmark is included, non-benchmark entries also carry "relative" (beta, alpha, information ratio, etc.). A 400/422 rejection returns {"accepted": false, "error": ...}; capacity/timeout/permission failures raise a tool error.

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• get_nfl_scores

  sports-mcp-server

  Fetch current NFL football game scores, schedules, and results. Returns team matchups, final scores, scheduled start times, team standings, and individual player stats. Use for fantasy football, sports analysis, or following NFL season progress.

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• list_strategies

  Heista

  List all PowerSource strategies (scans) for a brand. A brand has many strategies — one per scanned URL. Product-page strategies carry product_name and is_product_page=true; use these to label them in conversation or to pick the right one for a product-focused generation. Returns powersource_id (use as the brief/PowerSource id everywhere else), product_name, scanned_at, source_url, is_pinned. Free, read-only. Paginated via cursor.

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• score_prob

  infersports

  Market-implied correct-score probabilities for ONE football match — ONE call. Inverts the de-vigged 1x2 (power de-vig) + totals prices into a bivariate-Poisson (Dixon-Coles) score grid and returns the top-K scorelines with probabilities, the fitted goal rates (lambda_home/lambda_away), and how much probability mass the list covers. The asian-handicap fair price is held out of the fit and reported as ``ah_ev_check`` (≈0 means the three markets are internally consistent). This is the market's own distribution, never an InferSports prediction. Football only, one match per call. Args: query: natural-language fixture, e.g. "Mexico vs South Africa" or a single team. sport: optional filter; only "football" is supported by this tool. date: optional UTC date "YYYY-MM-DD" to disambiguate same-name fixtures. top: how many scorelines to return (default 5, max 10).

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• fantasy_get_my_teams

  league-loom

  THE HUB VIEW. Aggregate the user's teams across ALL their configured leagues and providers (Fantrax, ESPN, Sleeper) in ONE call. The user plays in MULTIPLE leagues at once, so use this whenever they ask about "my teams", "my football teams", "how am I doing", "my week", or anything plural/cross-league. Do NOT just query one league. Args: sport (optional, e.g. 'NFL' for "my football teams"; omit for all sports); provider (optional filter); response_format. For each team it returns the league, your team, rank/record, and this week's matchup. Needs a connected profile (reads your configured leagues). For a single named league, use fantasy_get_my_team instead.

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• get_overview

  api-evangelist

  START HERE. What the API Evangelist network offers: sixteen years of API research as searchable stories, 77 topic areas, governance building blocks (guidance, rules, policies, standards, strategies), papers, conversations, and the consulting services Kin Lane offers teams. Returns counts, entry points, and how to engage.

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• read_strategy_list

  Arcadia Finance

  Get Arcadia LP strategies. Use featured_only=true for curated top strategies (recommended first call). Returns a paginated list with 7d avg APY for each strategy's default range. Increase limit or use offset for pagination. All APY values are decimal fractions (1.0 = 100%, 0.05 = 5%). For full detail on a specific strategy (APY per range width), use read_strategy_info.

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• read_strategy_recommendation

  Arcadia Finance

  Get a rebalancing recommendation for an Arcadia account — suggests asset changes to optimize yield. Uses 1d APY (not 7d like read_strategy_list), so recommended strategies may differ from the list ranking. APY values are decimal fractions (0.05 = 5%). weekly_earning_difference is in USD.

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• read_guides

  Arcadia Finance

  Get Arcadia workflow guides and reference documentation. Call this before multi-step workflows (opening LP positions, enabling automation, closing positions) or when you need contract addresses, asset manager addresses, or strategy parameters. Topics: overview (addresses + tool catalog), automation (rebalancer/compounder setup), strategies (step-by-step templates), selection (how to evaluate and parameterize strategies).

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• get_top_trading_strategies

  Helium MCP Server - News, Markets & AI

  Get the top-ranked short volatility and long volatility option trading strategies. Returns two ranked lists — short_volatility (sell premium / theta strategies) and long_volatility (buy premium / gamma strategies) — each containing up to `limit` tickers. Each entry has the same fields as get_ticker: - ticker, name, latest_price, page_url - bullish_case, bearish_case, potential_outcomes, takeaway, analysis_date (AI-generated, when available) - price_forecast_days, price_forecast_percent, price_forecast_lower/upper_bound_percent (when available) - iv_rank_percentile (0-100, IV rank over past year, when available) - short_vol_call, short_vol_put: best short volatility option packs (when available) - long_vol_call, long_vol_put: best long volatility option packs (when available) Sort options: - "helium_rank" (default): Helium AI edge score — best overall expected value - "odds_of_profit": Highest probability of profit - "historical_performance": Best annualized historical P&L across backtested trades - "reward_to_risk": Best reward-to-risk ratio - "smallest_max_loss": Strategies with the smallest maximum possible loss Args: sort: Ranking method (default "helium_rank"). One of: 'helium_rank', 'odds_of_profit', 'historical_performance', 'reward_to_risk', 'smallest_max_loss'. limit: Number of results per strategy type (1-20, default 5).

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• batch_geolocate

  iplookup

  Look up locations for up to 100 IP addresses at once. Returns geolocation and ISP data in the same order as input. Use for analyzing multiple IPs efficiently.

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• get_strategy_leaderboard

  OneQAZ Trading Intelligence

  Purpose: Top RL-learned research strategies — GLOBAL pool + per-symbol partition. Layer E evidence (Layer E = strategy-performance tier of the 5-layer trust pyramid). The GLOBAL pool may include synthesized win_rate values, so per_symbol_leaderboard is the primary measured-edge surface for trust auditing. Triggers (casual questions too): "what are the best strategies?", "제일 잘 버는 전략 뭐야?", "top strategies?", "전략 순위 보여줘", "which strategy has the best win rate?". When to call: final trust-validation step. Prerequisites: none. Next steps: market://{market_id}/signals/summary for live signals. Caveats: `min_trades` filter enforces statistical validity. Strategies are paper-tested, not real-money executed. Args: market_id: Market identifier (crypto, kr_stock, us_stock) target_market: Alias for market_id (backward compat) top_n: Top N strategies to return (default 20) limit: Alias for top_n (client-compat) min_trades: Minimum trades count for inclusion (default 10) include_per_symbol: Include per-symbol PG partition results (default True) Disclaimer: Information only, not investment advice.

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• x711_hive_consensus

  x711 — Universal Agent Gas Station

  Swarm truth engine — query collective agent agreement on any thesis. Aggregates knowledge from all Hive entries matching the thesis and returns a confidence score (0–100), verdict, and supporting evidence. Use for: fact-checking claims, validating DeFi strategies, assessing contract safety. Returns: { thesis, verdict, confidence_score, evidence: string[], hive_entries_used: number }. Requires API key.

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• content_evergreen_score_analyzer

  mcp-knowledge

  Evaluates content evergreen potential for CMOs by analyzing historical traffic patterns and backlink authority. Takes a content URL and optional time range, returns an evergreen score (0-100), traffic trend analysis, and backlink profile. Ideal for content strategy planning, SEO optimization, and identifying high-value evergreen assets. Uses Wayback Machine and Common Crawl public APIs.

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• talent_litigation_exposure

  mcp-knowledge

  Estimates litigation exposure risk for CHROs by analyzing past employee lawsuits, settlement amounts, and industry benchmarks. Inputs include company location, industry code, and employee count range. Returns exposure score, average settlement amounts, lawsuit frequency trends, and risk factors. Ideal for legal risk assessment, HR strategy planning, and board-level reporting. Pass async:true to avoid timeout.

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• syndicated_loan_covenant_breach_alert

  mcp-knowledge

  Monitors syndicated loan covenants for potential breaches by analyzing Tradeweb market data. Designed for CFOs to proactively identify financial compliance risks in loan agreements. Accepts loan identifiers, covenant thresholds, and reporting period as inputs. Returns structured breach alerts with market context and severity indicators.

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