StatsPlus MCP Server
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@StatsPlus MCP Server get batting stats for Mike Trout in 2024"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
StatsPlus MCP Server
An MCP server that exposes the StatsPlus API as tools for use with Claude and other MCP-compatible clients.
Prerequisites
Node.js 18+
A StatsPlus league account linked to a team
Related MCP server: mlb-api-mcp
Installation
git clone https://github.com/joshuarichard/StatsPlus-MCP.git
cd StatsPlus-MCP
npm install
npm run buildConfiguration
Getting your session cookie
The StatsPlus API requires an active browser session. To get your cookie:
Log into
https://statsplus.net/<your-league-url>in your browserOpen DevTools (
Cmd+Option+Ion Mac,F12on Windows/Linux)Go to Application → Cookies →
https://statsplus.netCopy the
sessionidandcsrftokenvalues and combine them:sessionid=<value>;csrftoken=<value>
Adding to your MCP client
Add the following to your MCP client config (e.g. ~/.claude/mcp.json for Claude Code):
{
"mcpServers": {
"statsplus": {
"command": "node",
"args": ["/path/to/StatsPlus-MCP/dist/index.js"],
"env": {
"STATSPLUS_LEAGUE_URL": "<your-league-url>",
"STATSPLUS_COOKIE": "sessionid=<sessionid>;csrftoken=<csrftoken>"
}
}
}Replace:
/path/to/StatsPlus-MCP— the absolute path where you cloned this repo<your-league-url>— your league's URL slug (e.g.myleague,mlb2025)<sessionid>— thesessionidcookie value from your browser<csrftoken>— thecsrftokencookie value from your browser
Alternatively, with the Claude Code CLI:
claude mcp add statsplus \
-e STATSPLUS_LEAGUE_URL=<your-league-url> \
-e "STATSPLUS_COOKIE=sessionid=<sessionid>;csrftoken=<csrftoken>" \
-- node /path/to/StatsPlus-MCP/dist/index.jsAvailable Tools
Tool | Description | Parameters |
| Player batting statistics |
|
| Player pitching statistics |
|
| Player fielding statistics by position |
|
| Team batting statistics with rate stats |
|
| Team pitching statistics with rate stats |
|
| Player roster with names and team assignments |
|
| Search players by name (partial, case-insensitive) |
|
| Start the async ratings export; returns | — |
| Collect ratings results (pass |
|
| All major league games with scores, hits, errors, and pitcher IDs | — |
| All current and active player contracts |
|
| Signed extensions taking effect in future seasons | — |
| Team list with IDs and abbreviations | — |
| Draft picks |
|
| CSV export of all league games | — |
Split IDs: 1 = Overall, 2 = vs Left-handed, 3 = vs Right-handed
Usage tips
Name-to-ID resolution: Use
find_player(name)for quick name → ID lookups without downloading the full roster. For a full org's players, useget_players(org_id)which filters byParent Team ID.Ratings workflow: The ratings export is an async job that takes 60–90 seconds. To avoid blocking mid-workflow, call
start_ratings_job()first, do your other lookups while it processes, then callget_ratings(poll_url)to collect results:start_ratings_job() → { poll_url: "..." } get_player_batting_stats(...) ← runs concurrently get_contracts(team_id: ...) get_ratings(poll_url: "...") → results ready, no extra waitCalling
get_ratings()without apoll_urlstarts a new job and blocks until complete. Ratings columns include batting attributes (Cntct,Gap,Pow,Eye,Ks) with L/R splits,Pot*potential counterparts, and positional grades. Key encoding notes:Star ratings are stored as
stars × 2— e.g. 3.5 stars =7, 5 stars =10International complex players have a negative
Leaguevalue (e.g.-100)Column names are not guaranteed to be stable across OOTP versions
Preseason / empty responses: During preseason, all stat endpoints return HTTP 204 with no data for the upcoming year. Always pass
year=<most recent completed season>to get data.Fielding:
get_player_fielding_statsreturns one row per player per position per split. A player who appeared at multiple positions will have multiple rows — one for each.Game history:
runs0/hits0/errors0are the home team;runs1/hits1/errors1are the away team.winning_pitcher,losing_pitcher,starter0, andstarter1are numeric player IDs.save_pitcheris0when there is no save pitcher.Contracts:
salary0is the current season salary,salary1is next season, and so on throughsalary14. Unpopulated years are0.is_majorandno_tradeare0/1integers.contract_team_idis the MLB org that holds the contract (use this with theteam_idfilter).get_contract_extensionsuses the same schema for deals already signed but not yet in effect.Splits: All stat endpoints that accept a
splitparameter use1= Overall,2= vs Left-handed,3= vs Right-handed. Omittingsplitreturns all three rows per player/team.
Development
npm run build # Compile TypeScript
npm test # Run tests
npm run test:watch # Run tests in watch mode
npm run lint # Type-check without emittingLicense
MIT
Available Tools
15 toolsfind_playerA
Search for players by name (partial, case-insensitive). Returns matching players with their IDs and team info. Use this to resolve a player name to an ID without downloading the full roster.
Inputs: name (required).
get_contract_extensionsB
Retrieve signed contract extensions that take effect in future seasons.
Inputs: no named parameters.
get_contractsA
Retrieve all current and active player contracts. IMPORTANT: The API does not expose service time or team control status. A 1-year contract does NOT necessarily mean the player will hit free agency — pre-arbitration players (~$900K salary) and arbitration-eligible players ($1–8M salary) both show as 1-year deals that auto-renew under team control. Only multi-year contracts or high-AAV 1-year deals indicate a negotiated free-agent signing. Use salary level and player age to infer team control status.
Inputs: team_id, player_id.
get_draftA
Retrieve draft data. For multi-league associations, specify the league ID.
Inputs: lid.
get_exportsA
Retrieve a CSV export of all major league games since the league started, including scores, starting pitchers, winning/losing pitchers, and game dates.
Inputs: no named parameters.
get_game_historyA
Retrieve all major league games since the league started, including scores, hitting, pitchers, and game dates.
Inputs: no named parameters.
get_player_batting_statsA
Retrieve player batting statistics. Returns stat lines with splits. Defaults to top-level (MLB) leagues; pass lid to get stats for a specific league (e.g. minor leagues). Omit all params to get all players for all seasons.
Inputs: year, pid, split, lid.
get_player_fielding_statsA
Retrieve player fielding statistics by position. Returns stat lines with splits. Defaults to top-level (MLB) leagues; pass lid to get stats for a specific league. Omit all params to get all players for all seasons.
Inputs: year, pid, split, lid.
get_player_pitching_statsA
Retrieve player pitching statistics. Returns stat lines with splits. Defaults to top-level (MLB) leagues; pass lid to get stats for a specific league (e.g. minor leagues). Omit all params to get all players for all seasons.
Inputs: year, pid, split, lid.
get_playersA
Retrieve the player roster. Optionally filter by team_id to get a single team's players.
Inputs: team_id, org_id.
get_ratingsA
Retrieve player ratings (overall, potential, and per-attribute). If you have a poll_url from start_ratings_job, pass it here to collect results without re-starting the job. Without poll_url, starts a new job and blocks up to ~5 minutes waiting for results.
Inputs: poll_url, player_ids.
get_team_batting_statsA
Retrieve team batting statistics. Omit params to get all teams for all seasons.
Inputs: year, split.
get_team_pitching_statsA
Retrieve team pitching statistics. Omit params to get all teams for all seasons.
Inputs: year, split.
get_teamsA
Retrieve the list of teams in the league with their IDs and abbreviations.
Inputs: no named parameters.
start_ratings_jobA
Start the async ratings export job and return a poll_url immediately, without waiting. Call this at the beginning of a workflow, do other data lookups while the job processes (~60–90s), then call get_ratings(poll_url) to collect results. This avoids blocking the workflow mid-step.
Inputs: no named parameters.
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
Loading tool schema changelog…
TDQS
Scored across 15 tools
Each tool targets a distinct resource or action. The only potential overlap is between find_player (search by name) and get_players (roster by team), but they serve different purposes—one for ID resolution, the other for full roster retrieval.
Most tools follow the get_<resource> pattern, but two tools deviate: find_player and start_ratings_job. This minor inconsistency is understandable given their different operations.
15 tools cover the key aspects of a sports stats server: players, teams, contracts, draft, game data, exports, and ratings. The count feels well-scoped—neither too sparse nor overwhelming for the domain.
The tool surface covers essential read operations for player and team stats, contracts, draft, and game history. Missing components like standings or league info are minor gaps that can be derived from existing data.
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