evandiewald/sleeper-mcp
If you are the rightful owner of sleeper-mcp and would like to certify it and/or have it hosted online, please leave a comment on the right or send an email to henry@mcphub.com.
The Sleeper MCP Server is a Model Context Protocol server that provides access to the Sleeper fantasy football API, enabling AI assistants to retrieve comprehensive fantasy football data.
Tools
Functions exposed to the LLM to take actions
get_user
Get user information by username or user ID
get_user_leagues
Get all leagues for a user in a specific sport and season
get_league
Get league information and settings
get_league_users
Get all users (managers) in a league
get_league_rosters
Get all team rosters in a league with optional player enrichment
get_matchups
Get matchup results and scores for a specific week
get_regular_season_standings
Returns the latest regular season standings for a league
get_playoff_results
Get the playoff results - use this to determine final standings for a league
get_winners_bracket
Get the winners bracket for league playoffs
get_losers_bracket
Get the losers bracket for league playoffs
get_user_drafts
Get all drafts for a user in a specific sport and season
get_draft_picks
Get all picks from a specific draft
search_players
Search for players by name with fuzzy matching
find_player_id
Find a player's ID by name with confidence scoring
get_player_stats
Get player statistics for a season, optionally grouped by week
get_player_projections
Get player projections with formatted table display
get_player_news
Get recent news articles for a player
get_player_ranks
Get player rankings by PPR points for a season
get_trending_players
Get players that are trending (being added/dropped) across leagues
get_weekly_projections
Get all player projections for a specific week
get_enriched_players
Get player data enriched with projections and rankings
get_nfl_state
Get current NFL season state (week, season type, etc.)
Prompts
Interactive templates invoked by user choice
No prompts
Resources
Contextual data attached and managed by the client