Intervals Icu MCP vs Stathead MCP
A side-by-side look at the Intervals Icu MCP and Stathead MCP MCP servers: transport, auth, tools, quality signals, and the config to install either one in Claude, Cursor, Windsurf or VS Code.
Verdict: choose Intervals Icu MCP for sports work as a local process; choose Stathead MCP for sports as a local process. You can also run both side by side in one mcpServers block.
Which MCP server should you choose?
Choose Intervals Icu MCP when
- You need dedicated capabilities in the Sports domain.
- You prefer a local stdio subprocess transport.
- You have the keys it needs:
INTERVALS_ICU_API_KEY, INTERVALS_ICU_ATHLETE_ID. - You want tools like
icu_get_recent_activities, icu_get_activities_by_date, icu_get_activity_details.
Choose Stathead MCP when
- You need dedicated capabilities in the Sports domain.
- You prefer a local stdio subprocess transport.
- You want tools like
get_metadata, get_player_season_stats, get_player_weekly_stats.
Feature & specification comparison
Rows where the two servers differ are marked.
| Spec | ||
|---|---|---|
| Category | Sports | Sports |
| Quality signal | 63/100 · Good | 63/100 · Good |
| Install command | Confirmed | Confirmed |
| Transport | Local subprocess (stdio) | Local subprocess (stdio) |
| Auth | Not declared | Not declared |
| Pricing | Not declared | Not declared |
| Required env vars | INTERVALS_ICU_API_KEYINTERVALS_ICU_ATHLETE_ID | None listed |
| Verified owner | Community listing | Community listing |
| GitHub stars | 100 | 2 |
| Directory activity | 3 views 0 installs 0 upvotes | 1 views 0 installs 0 upvotes |
| Tools | 67 | 55 |
| Full listing | View Intervals Icu MCP | View Stathead MCP |
Tools & capabilities
Intervals Icu MCP tools 67
icu_get_recent_activitiesList the athlete's most recent activities (default last 30 days) — LIGHT summary per item (distance, duration, power, HR, training load). Use for "what have I done recently?", "show last week's rides". For one specific activity by ID use icu_get_activity_details; to search by name/tag use icu_search_activities.icu_get_activities_by_dateList activities within an EXPLICIT date window (oldest..newest) — LIGHT summary per item. Unlike icu_get_recent_activities (anchored to today and capped at 100), this targets an arbitrary historical window and is bounded only by `limit`. Use for "all my runs from June to November 2025", reconstructing training history, or finding the oldest activity in a period. Dates are YYYY-MM-DD. Results are newest-first; if a window holds more than `limit` items, the oldest are dropped first, so widen `limit` (or narrow the window) to reach the very oldest.icu_get_activity_detailsFetch the headline SUMMARY of one activity — name, sport, date, distance, duration, training load, weather, plus all top-level metrics in a single JSON blob. Use for "how was my ride?", "tell me about activity X". For lap-by-lap or per-interval breakdown use icu_get_activity_intervals; for second-by-second time-series use icu_get_activity_streams.icu_search_activitiesSearch activities by name or tag, returning a LIGHT result list — id, name, type, date, distance, time only. Use this first for "find my X" queries. Only escalate to search_activities_full when you specifically need power, HR, training load, or intensity-factor data on the matches (heavier payload).icu_search_activities_fullSearch activities by name or tag, returning FULL Activity objects with power, HR, training load, intensity factor, normalized power, weather — every metric per result. Heavy payload. Use only when the lighter search_activities won't tell you what you need (e.g. "find my threshold rides with NP above 250W").icu_get_activities_aroundFetch the activities chronologically before and after a reference activity (N each side). Use for "what did I do around this race?", training-context queries, progression comparisons.icu_update_activityUpdate an existing activity's metadata (name, type, trainer flag, RPE, feel, etc.). Only fields you pass are sent; everything else stays unchanged.icu_update_activity_streamsUpload raw time-series streams (power, HR, cadence, etc.) onto an existing activity. Destructive — overwrites existing stream data. Accepts JSON array or CSV. Different from get_activity_streams (READ).icu_bulk_create_manual_activitiesBatch-create manual activities (no device upload) with UPSERT on `external_id`. Existing activities with a matching external_id (set by the same OAuth app) are updated; activities without an external_id are always created new.icu_download_activity_fileDownload the original activity file. Downloads the ORIGINAL uploaded file (FIT, TCX, or GPX — whatever the device produced). Different from download_fit_file (forces FIT conversion) and download_gpx_file (forces GPX conversion). If `output_path` is set the file is saved there; otherwise the response embeds base64 content.icu_download_fit_fileDownload activity converted to FIT format (Garmin / most training platforms). Different from download_activity_file (original upload format) and download_gpx_file (GPX format).icu_download_gpx_fileDownload activity converted to GPX format (GPS devices, mapping software). Different from download_activity_file (original upload format) and download_fit_file (FIT format).- +55 more on the listing page
Stathead MCP tools 55
get_metadataDescribe this server's capabilities: available tools, data sources, per-source season coverage, and valid enum values (positions, scoring formats, league sizes, ADP sources). Call this FIRST to scope a question correctly — it tells you what seasons/sources/formats are supported so you don't have to probe by trial and error. Takes no arguments.get_player_season_statsGet aggregated season totals for NFL players — offence, defence (IDP), kicking and punting. Returns rushing, passing, receiving, fantasy stats and 2-point conversions, and via `fields` every other counting column nflverse carries: defensive (def_tackles_solo, def_tackle_assists, def_tackles_for_loss, def_sacks, def_qb_hits, def_pass_defended, def_interceptions, def_fumbles_forced, def_tds, def_safeties), punting (pt_att, pt_yards, pt_net_yards, pt_inside_20, pt_long, pt_touchback) and kicking (fg_made/fg_att by distance band, pat_made/pat_att). Filter by position: QB/RB/WR/TE/K/P/FB, the nflverse defensive codes (DE, DT, LB, CB, SAF), or the IDP buckets DL (DE+DT+NT), LB and DB (CB+SAF+FS+SS). Sort by any stat column. Punting columns need a season pulled from nflverse's unified table — 2025 onward locally, any season when fetched live. Use this for player performance, fantasy points, rankings, comparisons. See also: get_metadata for season coverage, valid enums, and analytic caveats.get_player_weekly_statsGet week-by-week stats — game logs — for one player or for a whole position in a season. Pass player_name for one player's log, or omit it and pass position (and optionally week_start/week_end or team) for every player at that position, which is how you get a weekly board. Covers offence, defence (IDP) and specialists: with `fields` you can project any raw nflverse weekly column, including def_tackles_solo, def_tackle_assists, def_sacks, def_qb_hits, def_pass_defended, def_interceptions, def_tackles_for_loss, def_tds, punting (pt_att, pt_yards, pt_net_yards, pt_inside_20) and returns (punt_returns, punt_return_yards, kickoff_returns, kickoff_return_yards). Positions accept QB/RB/WR/TE/FB/K/P, the nflverse defensive codes (DE, DT, LB, CB, SAF) and the IDP buckets DL/LB/DB. A whole position-week is a few hundred rows, so narrow with week_start/week_end or team, and raise limit deliberately. Use for game logs, weekly trends, consistency and boom/bust analysis, and week-by-week IDP scoring. See also: get_metadata for season coverage, valid enums, and analytic caveats.get_gamesGet NFL game results and schedules. Includes the canonical nflverse game_id (e.g. 2024_04_BUF_BAL, handles neutral-site/relocated games correctly), scheduled kickoff (gameday = date, weekday, gametime = kickoff in US Eastern HH:MM), home/away/week, scores, spreads, totals, weather, surface. Use for team records, point totals, home/away splits, deriving day/time windows, bye weeks (a team absent from a week's games is on bye), or to enumerate game_ids to feed get_play_by_play. See also: get_metadata for season coverage, valid enums, and analytic caveats.get_snap_countsGet offensive/defensive snap count percentages by player per week. Use for workload analysis, role changes, snap share trends. See also: get_metadata for season coverage, valid enums, and analytic caveats.get_rookie_snap_shareRookie snap-share RAMP tracker — weekly offensive snap % for a season's rookie class, with a ramp signal (last-3-week avg − first-3-week avg) that surfaces mid-season role expansion a static depth chart misses (the classic late-bloomer pattern, e.g. a rookie RB climbing from 30% to 70% snaps). Identifies rookies from the roster (years_exp 0 / rookie or entry year = season). For an in-progress season this is a live leading indicator; for a completed season it's the role-trajectory record. Sort by ramp (biggest risers), latest, peak, or avg. See also: get_metadata for season coverage, valid enums, and analytic caveats.get_combine_resultsGet NFL Combine athletic testing results. Includes 40-yard dash, bench press, vertical jump, broad jump, 3-cone drill, shuttle, height, weight, draft position. Use for athletic profile analysis, draft capital evaluation. See also: get_metadata for season coverage, valid enums, and analytic caveats.get_draft_picksGet historical NFL draft picks with career outcomes. Includes round, pick, team, college, career approximate value (car_av), Pro Bowls, All-Pro selections, Hall of Fame status. Note: career columns (car_av, pro_bowls, etc.) are cumulative and are blank/low for recent draftees who are still active — they populate as careers progress. Use for draft analysis, career success by pick, team drafting history. See also: get_metadata for season coverage, valid enums, and analytic caveats.get_rookie_classOne-call rookie-class join: NFL draft picks for a draft year + combine testing + that player's rookie-season (same year) production — so you don't have to join draft, combine, and stats by hand. Skill positions (QB/RB/WR/TE) by default. Each row carries pfr_id for joining to other tools. Great for prospect/dynasty evaluation and hit-rate analysis. Anti-pattern: do not multiply marginal factors (athleticism × age × draft slot) into a "P(Hit)" — the factors are correlated and the product is over-confident; use as ordinal ranking or compare similar-player (joint) comps instead. See also: get_metadata for season coverage, valid enums, and analytic caveats.get_injuriesGet weekly NFL injury reports (nflverse, 2009+). Per player-week: gsis_id (joinable to get_play_by_play / get_player_crosswalk), primary + secondary injury, practice participation (primary/secondary injury + practice_status), and final game report_status (Out/Doubtful/Questionable). Use for injury impact analysis, weekly availability, and attaching injury status to a roster. See also: get_metadata for season coverage, valid enums, and analytic caveats.get_advanced_statsGet PFR advanced stats: passing (pressure rate, drop rate, bad throws), rushing (yards before/after contact, broken tackles), receiving (drops, YAC). Use for efficiency and process metrics beyond box score. See also: get_metadata for season coverage, valid enums, and analytic caveats.get_play_by_playGet play-by-play data with EPA, WPA, win probability, air yards, YAC, and stable player IDs (passer/rusher/receiver_player_id = nflverse gsis_id, joinable to get_player_crosswalk). Default view is lean; pass `fields` to project any of these slim columns — including kicker/defense/special-teams columns for K & DST fantasy scoring: kicker_player_id, kicker_player_name, kick_distance, extra_point_result; sack, interception, fumble, fumble_lost, fumble_recovery_1_team, safety; td_player_id, td_team, return_touchdown (separates defensive/ST TDs from offensive); two_point_attempt, two_point_conv_result; and kick/punt return columns: return_yards, return_team, kickoff_returner_player_id, kickoff_returner_player_name, punt_returner_player_id, punt_returner_player_name, fair_catch (note: yards_gained is 0 on return plays — use return_yards); committed-turnover + recovery attribution: interception (+ passer_player_id = who threw it), fumble_lost (+ fumbled_1_player_id/_name/fumbled_1_team = who lost it, fumble_recovery_1_player_id/_name = who recovered, forced_fumble_player_1/2_player_id = who forced it); per-defender IDP attribution (project via fields): solo_tackle_1/2_player_id, assist_tackle_1..4_player_id, tackle_for_loss_1/2_player_id, sack_player_id, half_sack_1/2_player_id, qb_hit_1/2_player_id, interception_player_id, pass_defense_1/2_player_id (all gsis, crosswalkable; defensive/ST TD scorer is td_player_id with td_team=defteam); and real (wall-clock) time: game_date, start_time (kickoff), time_of_day (UTC time the play was run — vs the game-clock `time` field; note nflverse populates it for most recent-season plays but it can be sparse/older-season gaps). Use for situational analysis (red zone, 3rd down, 2-minute drill), play type breakdowns, EPA-based efficiency, scoring K/DST, or pulling a complete game with game_id. WARNING: Large dataset — always filter by game_id, player, team, or situation. To pull an ENTIRE WEEK set limit ~3000 (a week is ~2400 plays) with week=N; to pull a WHOLE SEASON set a high limit (e.g. limit=50000, season ~43k plays) — for these large pulls always use output_format=jsonl or csv (optionally + fields) to keep the payload compact. You can also page with offset (the header reports the next offset and the total). When projecting with `fields`, include game_id/play_id/posteam/defteam yourself if you need them for joins. See also: get_metadata for season coverage, valid enums, and analytic caveats.- +43 more on the listing page
Ready-to-paste client configs
Paste either block (or both) into your client config, e.g. claude_desktop_config.json or ~/.cursor/mcp.json. We only show a config when the install command is confirmed.
Intervals Icu MCP
{
"mcpServers": {
"intervals-icu-mcp": {
"command": "uvx",
"args": [
"intervals-icu-mcp"
],
"env": {
"INTERVALS_ICU_API_KEY": "YOUR_INTERVALS_ICU_API_KEY_HERE",
"INTERVALS_ICU_ATHLETE_ID": "YOUR_INTERVALS_ICU_ATHLETE_ID_HERE"
}
}
}
}
Stathead MCP
{
"mcpServers": {
"stathead-mcp": {
"command": "npx",
"args": [
"-y",
"stathead-mcp"
]
}
}
}
Frequently asked questions
Intervals Icu MCP is categorized under Sports and uses a local stdio subprocess. Stathead MCP belongs to Sports and uses a local stdio subprocess. Pick Intervals Icu MCP for sports work and Stathead MCP for sports.
Copy the mcpServers block from the config section on this page into your client's config (for example claude_desktop_config.json or ~/.cursor/mcp.json), then fully restart the client.
Intervals Icu MCP has no declared pricing — check the project's own site. Stathead MCP has no declared pricing — check the project's own site. If a server needs environment variables such as API keys, define them under the env key in your client's MCP config.
Yes. MCP clients support multiple servers: add intervals-icu-mcp and stathead-mcp as separate keys in the same mcpServers object, and your assistant will call tools from either one.
On AllMCPs, Intervals Icu MCP has a quality signal of 63/100 (Good) with 3 views, 0 installs and 100 GitHub stars. Stathead MCP has 63/100 (Good) with 1 views, 0 installs and 2 GitHub stars.