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RallyIQ MCP Server

answering

RallyIQ is answering right now. Last checked 7 min ago. It exposes 4 tools. Last commit 7 Oct 2026.

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

Uptime history 5 days of history
5 days agonow
100.0%
Uptime 24h
92 of 92 checks
4
Tools
read from the server
457 ms
Response time
average over 24h
0
Stars
last commit 7 Oct 2026

Nothing serious here today

Today is the operative word: we check RallyIQ every 15 minutes and re-read its code on every release. Watch it and you find out the day that stops being true.

Three servers free · no card

Connect this server

Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 7 min ago.

run in your terminal
claude mcp add rallyiq --transport http https://bigballi.com/RallyIQ/mcp
~/Library/Application Support/Claude/claude_desktop_config.json
{
  "mcpServers": {
    "rallyiq": {
      "url": "https://bigballi.com/RallyIQ/mcp"
    }
  }
}
~/.codex/config.toml
[mcp_servers.rallyiq]
url = "https://bigballi.com/RallyIQ/mcp"
.cursor/mcp.json
{
  "mcpServers": {
    "rallyiq": {
      "url": "https://bigballi.com/RallyIQ/mcp"
    }
  }
}
.vscode/mcp.json
{
  "mcpServers": {
    "rallyiq": {
      "url": "https://bigballi.com/RallyIQ/mcp"
    }
  }
}

Available tools 4

Read directly from the server with tools/list, grouped by what they act on. If a tool disappears, we record the date.

explain
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 biggest leaks and the points each player left on the table by not choosing the best-value direction. Finds the most recent charted match for a player, narrowed by opponent, tournament or year, and lists other matching matches.
game
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 court against this returner and the optimal mix, which returns work best against this server, the rally shots to favour and to avoid, what the opponent tends to serve, career shot ratings side by side, style compatibility and the charted head-to-heads. Optionally for one surface.
leaders
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 than the same choice usually yields (per 100 shots, opponent-adjusted). shot_selection: Chooses strokes worth more than the position average; partly reflects the ball they were given (per 100 shots, opponent-adjusted). fewest_points_left: Smallest gap per 100 shots between the direction chosen and the best-value direction for that stroke. most_exploitable_serve: Points per 100 first serves an optimal direction mix would win over the current one, allowing for returners reading a habit. serve_off_equilibrium: First-serve directions that win at clearly different rates (p < 0.01): usage-weighted gap per 100 first serves and the direction to use more. long_rallies_hold_up: Execution from the ninth shot of a rally on, minus the player's own earlier-rally execution, per 100 shots (ATP only). long_rallies_fade: The same long-rally measure, most fading first (ATP only). adaptability: Moves the first-serve mix toward what has been winning in earlier sets, per 100 first serves. A weak habit, not a proven gain. adapts_fastest: The same, every two to three service games, per 100 first serves. Players need at least 5,000 modelled shots.
player
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, points left on the table) with tour percentiles, first-serve direction habits per court including on break points, how exploitable the serve is and the optimal mix, the shots they hurt opponents with most and the shots they are most exposed to, best-equipped opponents, stylistically similar players and recent charted matches. When the name matches several players it returns the best match and lists the others.

Endpoints

URLTransportStateLatencyChecked
https://bigballi.com/RallyIQ/mcp streamable-http answering 428 ms 7 min ago

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RallyIQ — questions

Answers built from our own checks of this server.

What can RallyIQ do?
It exposes 4 tools, read directly from the server on our last check. Among them: explain_match, get_game_plan, get_leaders, get_player. The full list with descriptions is on this page — we take it from the server itself via tools/list, not from a README. How MCP servers expose tools in the first place →
Is RallyIQ working right now?
We send a real MCP handshake every 15 minutes. Over the last 24 hours 92 of 92 checks got a reply (100.0%), average response time 457 ms. The bar chart above shows every period we have measured.
How do I connect RallyIQ?
Copy the ready config from this page — we generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each with the file path that client actually reads. It is a remote server, so there is nothing to install — the client connects to the address.
Does RallyIQ need an API key?
No. RallyIQ completed a full MCP handshake with us as an anonymous client and listed its tools without asking for anything. All 4 of them are readable on this page. This is what we observed, not what the docs claim.
How fast is RallyIQ?
It answers our handshake in 457 ms on average, which is faster than 29% of all working MCP servers we measure. The comparison comes from our own checks across the whole registry, every 15 minutes.
Is RallyIQ open source?
Yes — it is published under the MIT licence and 0 stars on GitHub. The source link is on this page, so you can read exactly what it does with your data before you connect it.