Findings on what compounds and supplements do in the body, with evidence strength, quote and paper.
- Passed: Handshake
- Passed: Tools listed
- Passed: Updated recently
Median latency 699 ms · Last checked
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Evidence for your next connection.
Independent measurements of remote MCP servers. Every observation has a timestamp.
Read-only probesMCP server · Other
NBA and NFL stats: profiles, head-to-head, schedules, ratings, EPA, injuries, projections.
1 failed · 8 not measured
Median of successful probes over 7 days
Share of countable probes over 30 days, including daily rollups. Auth challenges are excluded.
Tool definitions returned by this server
Independent monitoring
Outdated check
Last connection measurement is over 24 hours old. Current availability is unknown.
Last checked| Test area | Passed | Failed | Unmeasured |
|---|---|---|---|
ConnectionCan a client connect and discover tools? | 5 | 0 | 0 |
Reliability & speedDoes it respond consistently and quickly? | 0 | 0 | 4 |
Access & authenticationWhat is required to use this server? | 1 | 0 | 2 |
Tool qualityAre the tool definitions usable by an agent? | 4 | 0 | 0 |
Publisher identityCan the publisher be traced to its source? | 3 | 1 | 2 |
Unmeasured means there is not enough evidence to decide. How these checks work
Start using Keel Stats
Choose your client, copy the configuration, then enable the server in your client’s MCP settings.
Run this command in your terminal, then restart Claude Code.
Claude Code
claude mcp add --transport http keel-stats https://api.keelstats.com/mcpCapabilities
Use this when the user asks which teams allow the most or fewest to a position ('best matchups for centers', 'defenses vs TE'). Returns what each NBA or NFL team allows per game to a position group (NBA: G, F, C, with pace rank; NFL: QB, RB, WR, TE), each number as [value, league rank] (1 = allows the most). Without `position` the NBA answer lists each group's ten softest teams (`data_more` counts the rest) and the NFL's the softest half: pass `position` for every team, as for the fewest allowed. Window 'recent' (last 10 games) needs Pro. Not for one player's matchup (player_profile's next game).
DiscoveredUse this when the user asks about one team's game on a date, its next or last game, or a specific meeting ('Lakers next game', 'Cowboys vs Eagles on November 23') and you need its game_id. Returns the team's game on that date, or its last three finished and next three games, with game_id, start time, state, week (NFL), each side's team (id and abbreviation) and score, and the pair's matchup page; each game's page is `game_url` with its id in place of {id}. Not for the whole slate (tonight_slate) or the history of a pair (head_to_head).
DiscoveredUse this when the user asks who is favoured in one game, by how much, or how the two sides compare for it. Returns the pre-game win probability (NBA: our projection, blended with the market while the model learns; `prediction.blended` says when) and projected margin, the consensus spread and total, the teams compared, leaders, recent form and who is out; signed in, also the market's vig-free chance, the model against it and the line, and the head-to-head; with Keel Stats Pro the absence costs, position matchups, records against the close and key players, and with `detail` "full" the model's factor weights. The answer's `account.held` names what the caller's plan left out. Needs a game_id from tonight_slate or find_game. Not for picks or betting advice: Keel Stats gives neither.
DiscoveredUse this when the user asks how two teams have fared against each other: the all-time or season series, their last meetings and who led them, their next meeting ('Celtics vs Knicks history', 'Cowboys Eagles record'). Returns the pair's record over every meeting we hold and by season, this season's series, the last ten meetings with each one's top player, the series leaders, and the next game with its projected chance and margin. Not for a single game's preview: use game_projection with the game_id it returns.
DiscoveredUse this when the user asks who is out, what an absence changes, or who benefits when a player sits ('Lakers injury report', 'what if Haliburton is out'). Returns the league injury report, or for a player_id the shift in his team's win probability and spread and the teammates whose minutes or target/carry share rises. Not for a player's own injury status alone (player_profile has it).
DiscoveredUse this when the user asks about one player's season or recent form ('Tatum stats', 'how is Bridges playing lately'). Returns season averages, efficiency (NBA: TS%, eFG%, USG%, BPM; NFL: yards, touchdowns, EPA), Keel Impact, current injury status, his recent box lines (five without an account, ten signed in) and, when the books have priced his next game, one compact row per stat as props_research gives it. With Keel Stats Pro, `detail` adds the book-by-book odds, closing lines, game log, history and alternate ladders. The answer's `account.held` names what the caller's plan left out. Not for on/off or teammate splits (player_splits_and_on_off).
DiscoveredUse this when the user asks how a player's team does with him on or off the floor, his clutch or garbage-time splits, or how he plays with or without a teammate (NFL: target, carry and red-zone shares with or without a teammate). Returns those splits for the season (NBA: on/off, situations and milestones, `detail` naming the ones wanted; NFL: his usage row and the team's busiest, `detail` "full" for every player). Requires Keel Stats Pro; the answer says so when the account has none. Not for season averages or recent games: use player_profile.
DiscoveredUse this when the user asks about a player's prop lines, how often he clears a line, or today's prop board. Returns, for a player_id, one compact row per stat with a line for his next game: the consensus line and book count, his last five games against it (`l5`, values newest first) and his season average; signed in, the last ten (`l10`, newest first) and his record against the closing line; with Keel Stats Pro also L20 and season hit rates, the opening line and move, the model's probability against the market's, the best price at the consensus line (`best_over`/`best_under` name their line; a better line at another book follows as `other_line`) and the matchup, and with `detail` the book-by-book odds, closing lines, game log, history and alternate ladders. Without a player_id, today's prop board: `recent` is the last five values newest first, `status` the injury report's (questionable, doubtful…), `minutes_l5` and `fga_l5`/`tpa_l5` the last five games' minutes and attempts; players ruled out are listed in `ruled_out`, not in the rows (Pro: model edge, the daily cheat sheet and the `consistent` filter). The answer's `account.held` names what the caller's plan left out. Not for picks: it is research only and never gives a pick.
DiscoveredUse this when the user asks for a league-wide list: standings, NBA Keel Impact player ratings, NFL EPA per play for offenses and defenses, or weekly power rankings ('top 10 NFL defenses by EPA'). Returns the ranked list with the url of its table (Pro adds the ratings' offense/defense, box prior, RAPM and on/off parts). Not for one team or player: use their profile.
DiscoveredUse this when you need a player_id or team_id, or the user names a player or team you have not resolved yet ('Jokic', 'Lamar Jackson', 'BOS'); it is accent- and typo-tolerant. Returns up to six matching players and four teams per league with their numeric ids (`players_more` and the like say there are more: narrow the query); each list's page is a template such as `player_url` with the id in place of {id}. Not for stats: call player_profile or team_profile with the id.
DiscoveredUse this when the user asks about one team's season: its record, ratings, roster, recent and coming games. Returns the record, offensive/defensive/net rating (NFL: EPA per play and success rate) with league ranks, the roster and the last and next games with their game_id. Not for the whole league's standings (rankings_and_ratings) or two teams' history (head_to_head).
DiscoveredUse this when the user asks what is on tonight, today's scores, or a given day's games ('NBA games on 2026-11-05'). Returns that day's games with game_id, teams (id and abbreviation), times (US Eastern), live or final scores, pre-game win probabilities (NBA: our projection, blended with the market while the model learns) and the consensus line (signed in: the market's chance and the model's edge), last-game starters (NBA) and recent injury status changes; each game's page is `game_url` with its id in place of {id}. Not for a game weeks away or one team's schedule: use find_game.
DiscoveredRecent measurements
| Checked | Result | Response | Tools |
|---|---|---|---|
| Connected | 736 ms | 12 |