The Tennis Desk for LangChain
io.github.chungty/thetennisdesk
Ratings, line win chances and lineup help for USTA NorCal adult league tennis, from public results.
client:LangChain
transport:streamable-http
tools:29
Install The Tennis Desk in LangChain
pip install langchain-mcp-adapters
from langchain_mcp_adapters.client import MultiServerMCPClient
client = MultiServerMCPClient({
"thetennisdesk": {
"transport": "streamable_http",
"url": "https://thetennisdesk.com/api/mcp",
}
})
tools = await client.get_tools()
get_tools() returns the server's tools as LangChain tools, ready for an agent. LangChain docs
What LangChain can do once it is connected
- plan_lineup
- query_team_record
- query_matchup
- query_roster
- query_player_history
- query_match_log
- compute_aggregate
- compute_roster_strength
- compute_match_line_ratings
- query_player_rating
- predict_matchup
- query_team_forecast
- query_club_teams
- query_club
- query_my_teams
- query_cohort_standing
- query_league_standings
- plan_lineup_from_availability
- prepare_score_entry
- match_date_check
- availability_loop
- read_docs
- read_research
- query_coverage