MCP server

RallyIQ

com.bigballi/rallyiq

Checked 26 Oct 2026, 08:29 UTC · Connected to it and listed its tools

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

Website Source

At a glance

Type

MCP server

Publisher

bigballi.com (verified by the MCP Registry)

Status

Working at last check

Tools

4

Token cost

About 1,514 tokens per request

Sets up in

Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok

Last checked

26 Oct 2026, 08:29 UTC

Connect it to your agent

Add to CursorAdd to VS CodeVS Code Insiders

Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.

Claude Code

claude mcp add --transport http rallyiq https://bigballi.com/RallyIQ/mcp

Claude Desktop

Settings → Connectors → Add custom connector, and paste the URL.

Codex (config.toml)

[mcp_servers.rallyiq]
url = "https://bigballi.com/RallyIQ/mcp"

Gemini CLI

{"mcpServers":{"rallyiq":{"httpUrl":"https://bigballi.com/RallyIQ/mcp"}}}

Cursor

{"mcpServers":{"rallyiq":{"url":"https://bigballi.com/RallyIQ/mcp"}}}

VS Code

{"servers":{"rallyiq":{"type":"http","url":"https://bigballi.com/RallyIQ/mcp"}}}

Antigravity

agy mcp add rallyiq https://bigballi.com/RallyIQ/mcp

ChatGPT

Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.

OpenAI API (Responses tools)

{"type":"mcp","server_label":"rallyiq","server_url":"https://bigballi.com/RallyIQ/mcp","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"rallyiq","server_url":"https://bigballi.com/RallyIQ/mcp"}

Tools

• explain_match ~332 tokens
  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 biggest leaks and the points each player left on the table by not choosing the best-value direction. Fi
• get_game_plan ~320 tokens
  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 court against this returner and the optimal mix, which returns work best against this server, the r
• get_leaders ~563 tokens
  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 than the same choice usually yields (per 100 shots, opponent-adjusted). shot_selection: Chooses strok
• get_player ~299 tokens
  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, points left on the table) with tour percentiles, first-serve direction habits per court including on br

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