"Analyzing Football Strategies, Players, and Matches" matching MCP tools:

• get_my_strategiesA

  Sentinel AlephA

  Lists the saved strategies on the API key's account, newest first, archived ones included (active false): id, mode, engines, minimum confidence, direction and symbols. Use it to pick the strategy_id that run_backtest, update_strategy and delete_strategy take; for live bot activity use get_my_bots. Archived strategies count toward limit, and there is no paging: a strategy beyond the newest limit is read by its id with get_strategy; an account without strategies gets an empty list. An empty symbols list means any pair, so run_backtest then needs symbol. Needs an API key (without one the call is refused with 401) and spends 1 read unit of the daily quota; read only.

  ConnectorNo auth

• fantasy_get_my_teamsA

  League LoomA

  Your personal scoreboard and kickoff check across ALL connected teams. Use for anything plural or cross-league ("my teams", "how am I doing", "my week"; pass sport for "my football teams"); do NOT answer those from one league. ALWAYS render a separate section for EACH team, labeled with team and league; never mix players or points across teams. view=scoreboard (default): your matchups with starter highlights, verified game-progress coverage, and actual score changes when the previous response's comparison_snapshot is passed back. view=kickoff: "am I ready for kickoff", empty slots, injuries, deadlines and replacement options per league. view=summary: lighter standings and totals. Needs a connected profile. For one named league's detail, fantasy_get_my_team.

  ConnectorOAuth

• compare_backtestsA

  Backtest360A

  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.

  ConnectorNo auth

• arena_compare_strategiesA

  Backtesting ArenaA

  Which of these strategies performed best on the same data? Run 2–5 strategies against the SAME pair, interval and date range and return per-strategy metrics plus a comparison summary (best by CAGR, best by win-rate, worst by drawdown). Use this when the user asks which of several strategies fits a market — it holds the pair, interval and requested date range fixed, which a series of separate arena_run_backtest calls does not guarantee. What it does NOT equalize is the EVALUATION window: a strategy with a long warmup starts trading later, so compare actual_date_from across the runs and check result.benchmark before ranking by CAGR. For one strategy across many pairs use arena_run_universe_backtest instead. Caveat worth passing on: comparing N strategies and reporting the winner IS multiple testing — the winner’s edge is upward-biased. arena_get_robustness_field puts a counted N on that. Sequential, expect 10–50s. Per-day quota: Pro=20, Power=200. [API Pro tier]

  ConnectorNo auth

• submit_enquiryA

  siteB

  Submits an enquiry to Football Agent Index — NOT a purchase, NOT a guaranteed quote. Step 1: call with the answers (keyed by field key from enquiry_fields) and consent=true; it validates and returns a summary, the consent line and a confirmation token — show the person the summary and the consent line. Step 2: only if the person agrees, call again with the same answers, consent=true and the confirmation token; the enquiry is then submitted, and the person receives an email with a link they must click before any provider sees it. Consent means the person has read and agreed to: "Send my contact details to up to three football academies and agents, chosen by Football Agent Index, who'll contact me directly. I'll be emailed each firm's name as my details go to it, and can stop any more firms getting them."

  ConnectorNo auth

• submit_enquiryA

  siteA

  Submits an enquiry to Football Trials Database — NOT a purchase, NOT a guaranteed quote. Step 1: call with the answers (keyed by field key from enquiry_fields) and consent=true; it validates and returns a summary, the consent line and a confirmation token — show the person the summary and the consent line. Step 2: only if the person agrees, call again with the same answers, consent=true and the confirmation token; the enquiry is then submitted, and the person receives an email with a link they must click before any provider sees it. Consent means the person has read and agreed to: "Send my contact details to up to three football academies and agents, chosen by Football Trials Database, who'll contact me directly. I'll be emailed each firm's name as my details go to it, and can stop any more firms getting them."

  ConnectorNo auth

• leaderboard_comeback_winsA

  Cito APIA

  Tennis season comeback-wins leaderboard: Share of matches won after losing the first set per player, from real first-set rows joined to completed matches, ordered highest pct first. When to use: - Share of matches won after losing the first set per player, from real first-set rows joined to completed matches, ordered highest pct first. season tables; clutch/serve-efficiency leader queries. Prefer over: raw leaderboard via call_api for agent-normalized rows. Do not use when: ranking position → standings with game tennis; week-over-week movement → rankings_movers; one player's recent form → player_form. Tennis-only. Season defaults to 2026; tour (ATP|WTA) is optional — omit it for the combined board. Only players with first-set data on at least 20 matches qualify. Parallel-safe: yes. Upstream cost: 1.

  ConnectorNo auth

• get_team_reportA

  NeuroRankA

  PAID (team tier). Analyses a roster of NeuroRank players and returns a composition report: per-dimension team averages, strengths and weaknesses, per-dimension standouts, score spread, archetype mix, and a written team intelligence summary. Requires an API key (header `x-api-key`) on an active team subscription. Only players who have opted in to scouting are included; at least 2 opted-in, scored players are required. Costs one monthly report pull.

  ConnectorNo auth

• get_team_reportA

  NeuroRankA

  PAID (team tier). Analyses a roster of NeuroRank players and returns a composition report: per-dimension team averages, strengths and weaknesses, per-dimension standouts, score spread, archetype mix, and a written team intelligence summary. Requires an API key (header `x-api-key`) on an active team subscription. Only players who have opted in to scouting are included; at least 2 opted-in, scored players are required. Costs one monthly report pull.

  ConnectorNo auth

• get_h2hA

  livetennisapi-mcpA

  The all-time record between two players, across BOTH halves of the product: the results archive (1968–2022) plus our own completed matches (2023 onward). Names are the keys — an ambiguous fragment returns the candidate list to choose from rather than guessing. Totals count only meetings with a known winner; walkovers and retirements are part of the record and each meeting carries its outcome. Requires the BASIC plan or any History plan.

  ConnectorNo auth

• set_strategy_publicationA

  LightbringerA

  Publishes a strategy or returns it to draft on explicit user request. Published strategies become organisation-wide context for members and Lightbringer agents, including existing competitor monitoring. Publication does not schedule or start monitoring. Multiple strategies may be published simultaneously. Requires strategy management rights.

  Connector

  Destructive

  OAuth

• sofascore_event_commentsA

  Crawlora MCPB

  Returns a match's text commentary (minute, type, text, players involved, running score on goals), newest first, for one SofaScore event id. Use it for play-by-play after you have an event id from sofascore_team_events or sofascore_live_events. An empty list is valid for a live match with no lines yet; a not-found error means no commentary exists, including for unstarted matches.

  ConnectorNo auth

• sofascore_event_commentsA

  Crawlora MCPC

  Returns a match's text commentary (minute, type, text, players involved, running score on goals), newest first, for one SofaScore event id. Use it for play-by-play after you have an event id from sofascore_team_events or sofascore_live_events. An empty list is valid for a live match with no lines yet; a not-found error means no commentary exists, including for unstarted matches.

  ConnectorNo auth

• list_recovery_strategiesA

  Wellness ProjectA

  List the user's recovery and mindfulness strategies. Use when the user asks about their recovery practices, mindfulness routines, or you need strategy IDs before logging a session. INFER — do not ask: - filter: default to 'active'; use 'all' for history; use 'historical' for ended strategies only. Returns each strategy's id, name, category, schedule, start_date, and end_date.

  ConnectorOAuth

• cognitive.get_guidanceA

  NeoticC

  Retrieve applicable validated strategies for a task (§24, §18). Does NOT return unverified or suspended strategies as trusted guidance. Provides calibrated uncertainty, applicability conditions, and negative transfer warnings. Args: task_structure_id: UUID of the abstract task structure. environment: Environment characteristics. goal: Goal description and metric targets. available_capabilities: Capabilities supported by the caller. model_family: Model family of the consumer agent (e.g. 'claude', 'gpt', 'local'). Returns: Ranked list of applicable strategies with procedures, conditions, and evidence. Failures return {"error", "detail", "hint"} — never a bare exception.

  ConnectorOAuth

• cognitive.get_guidanceA

  NeoticC

  Retrieve applicable validated strategies for a task (§24, §18). Does NOT return unverified or suspended strategies as trusted guidance. Provides calibrated uncertainty, applicability conditions, and negative transfer warnings. Args: task_structure_id: UUID of the abstract task structure. environment: Environment characteristics. goal: Goal description and metric targets. available_capabilities: Capabilities supported by the caller. model_family: Model family of the consumer agent (e.g. 'claude', 'gpt', 'local'). Returns: Ranked list of applicable strategies with procedures, conditions, and evidence. Failures return {"error", "detail", "hint"} — never a bare exception.

  ConnectorOAuth

• get_captain_picksA

  FPL CopilotB

  Use this when someone asks who to captain (or Triple Captain) in Fantasy Premier League (fantasy football) this gameweek. Call it even without their team: it then lists the best captain options in the game. With a team ID (or their team from an earlier chat) it ranks their own players; scope "all" ranks the game.

  ConnectorNo auth

• get_strategy_leaderboardA

  OneQAZ Trading IntelligenceA

  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.

  ConnectorNo auth

• get_charting_matchA

  livetennisapi-mcpA

  Every Match Charting Project stat family for ONE charted match, both players, with the per-set split (set 1, set 2, …, Total) exactly as charted. Charting ids are their own id space (1960–2026), mostly matches with no counterpart in the live tables. Requires the ULTRA plan.

  ConnectorNo auth

• get_feature_catalogA

  dMoERA CreatorB

  List all data feeds available to strategies via ctx.features. Features are external data that strategies can read during on_bar(). Each feature has a status: "live" (available now, requirable) or "planned" (roadmap, not yet available). Only live features can be used in required_features. Returns JSON array of features with: key, label, description, unit, example, cadence, source, status, and backtest_mode.

  ConnectorNo auth

• search_playersA

  EndzoneAPIA

  Use to find a player by name (partial match). Searches ~25,000 players back to 1999; returns current-season players by default, falling back to all players back to 1999 when none match. Returns the GSIS player id needed by get_player_stats. Costs 2 credits.

  ConnectorNo auth