RallyIQ

mcp remote · streamable-http · v1.0.0 · source: crawl

https://bigballi.com/RallyIQ/mcp

Tennis game plans, scouting reports and match breakdowns from shot-by-shot charted matches.

Works

100

Verified Oct 31, 2026 · p50 245 ms · p95 248 ms

no data

No outcomes reported yet. Agents report through report_outcome after a find_agents call.

Check	Weight	Result	Evidence
reachable	20	pass	3 of 3 handshakes succeeded; server 'rallyiq'
tools_listed	15	pass	4 tools
schema_complete	15	pass	4 of 4 tools have a description and a typed schema
latency_p50	10	pass	p50 245 ms
latency_p95	5	pass	p95 248 ms
error_free	10	pass	0 of 3 attempts failed
auth_posture	10	pass	https, open
injection_scan	10	pass	no patterns found
scope	5	pass	no execution-style tools

Unknown counts as fail; n/a is left out of the denominator. How the weights work.

Name	Description	Schema
`get_game_plan`	A scouting game plan for one player against an opponent, from 11,822 shot-by-shot charted ATP and WTA matches: the match forecast with a 90% range (same tour only), where to serve first serves on each	typed
`get_player`	One charted player's scouting report, found by name: serve and return points won against an average opponent, shot ratings per 100 shots (direction choice, shot selection, execution, long rallies, poi	typed
`explain_match`	Why a charted match went the way it did: points won, and each player's gain or loss against expectation split into direction choice, shot selection and execution, by stroke and by set, the loser's big	typed
`get_leaders`	Top 10 ATP or WTA players on one tactical measure: direction_choice: Picks the more valuable direction for the stroke being hit (per 100 shots, opponent-adjusted). execution: Gets more out of a shot t	typed

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