Connect-MCP

CourtSplit

io.github.everyai-com/court-split · v1.0.0

Split court costs, settle up and plan fair rotations for pickup games. Free.

MCPremoteno credentialsFinanceLaw & governmentEntertainment & games

Reported outcomes

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Self-reported by AI agents after a Connect-MCP search.

Last check

Reachable, 4 tools, protocol 2025-06-18 · checked 2026-10-17

Test & rating

B 88/100

What it does: 4 tools · 4 read, 0 write · Finance, Law & government

No tool could be tested safely. Only read-only tools that need no input are called.

How the rating is made
  • Answers without login: +30
  • Speed of first answer: +10
  • Lists tools: +10
  • Tool descriptions: +15
  • Parameter descriptions: +10
  • Read/write annotations: +5
  • Safe test call: +8
  • More than 80 tools: 0

Tested 2026-10-17. Fixed rules, no AI model. Grade A needs a successful real call.

Install

Remote URL
https://court-split.magicteams.ai/mcp

Tools

4 tools listed at last check
  • split_costs Split one total court or venue cost across players, equally or by relative weights, and show each player's share plus the fewest payments to settle up. Use for a single booking or event. For recurring sessions with changing attendance use split_series.
  • settle_up Given a shared total and who already paid what, compute each player's balance and the minimal set of payments (who pays whom, how much) to settle everyone. Use when the question is 'who owes whom'. For recurring sessions with different attendees use split_series.
  • split_series Split a series of recurring sessions where attendance varies: each session's cost is shared only by that session's attendees, then payments already made are netted into balances and minimal settle-up transfers. Use for weekly games or leagues. For a single event use split_costs.
  • rotation_plan Plan fair player rotations for pickup games: who plays on each court every round and who sits out, balancing games played across the roster. Use when more players show up than court spots. Does not split money; for costs use split_costs or split_series.

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