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io.github.RyanKramer/rankedtoday-mcp

Registre officiel Jeux, sport et divertissement

League of Legends math for AI agents: MMR estimation, climb projections, KDA, hours. No API key.

Code source Documentation

Installation

Ajoutez ceci à la configuration MCP de votre client (Claude Desktop : claude_desktop_config.json ; Cursor : .cursor/mcp.json ; VS Code et les autres utilisent la même forme « mcpServers »).

PYPI package rankedtoday-mcp
Claude Code 
claude mcp add rankedtoday-mcp -- uvx rankedtoday-mcp==0.1.0
Configuration JSON (Claude Desktop, Cursor, VS Code) 
{
    "mcpServers": {
        "rankedtoday-mcp": {
            "command": "uvx",
            "args": [
                "rankedtoday-mcp==0.1.0"
            ]
        }
    }
}

Documentation

Tirée du README du projet sur GitHub, actualisée chaque semaine. Les liens ouvrent GitHub.

Sommaire
  1. Ranked Today MCP
  2. Install
  3. Tools
  4. Design notes
  5. Development
  6. About

Ranked Today MCP

League of Legends math and cognitive-readiness reference for AI agents. Estimate MMR from LP flow, project a climb, calculate KDA and lifetime hours, and get the research on sleep and reaction time without the folklore.

No API key. No Riot account. No network calls. Every tool is a pure function and every estimate shows its arithmetic.

Web versions: shouldiplayrankedtoday.com/tools

Install

{
  "mcpServers": {
    "rankedtoday": {
      "command": "uvx",
      "args": ["rankedtoday-mcp"]
    }
  }
}

Or pip install rankedtoday-mcp.

Tools

ToolWhat it does
estimate_mmrInfers whether MMR sits above or below your rank from LP gain/loss asymmetry
climb_calculatorGames required to reach a target LP total, or whether the climb runs backward
kdaKDA with a role-aware read and the winrate caveat
hours_playedLifetime hours from account level, with the math and the error bars
hardware_latency_budgetHow much of a reaction-test score is your monitor and mouse, not you
readiness_referenceWhat the sleep/cognition research supports — and explicitly what it does not
season_countdownDays to a ranked season boundary
rankedtoday_toolsFree cognitive tests and League tools on the web

Design notes

Nothing here pretends to read hidden data. Riot removed public MMR from the API years ago, and there is no lifetime hours counter. estimate_mmr infers from the LP exchange rate and says so; hours_played converts account level and reports plus-or-minus 20% along with what it cannot see. Any tool printing an exact MMR from a summoner name is guessing without telling you.

readiness_reference includes the disconfirming evidence. It lists what the research supports (+49 ms after one all-nighter, 5x more attention lapses, the 516-player rank correlation) and what it does not — including a controlled study where sleep-deprived players' cognition tanked while game outcomes barely moved. Readiness is a probabilistic personal signal, never a win predictor.

climb_calculator will tell you the climb runs backward. Below your breakeven winrate, more games means less LP. It returns that verdict rather than a games-required number, because the honest answer is that this climb does not finish.

Development

git clone https://github.com/RyanKramer/rankedtoday-mcp
cd rankedtoday-mcp
pip install -e .
rankedtoday-mcp

About

Built by Ranked Today — a 3-minute daily cognitive readiness check for League players. Free cognitive tests, no signup.

Not affiliated with or endorsed by Riot Games.

MIT licensed.

Questions fréquentes

Qu'est-ce que io.github.RyanKramer/rankedtoday-mcp ?

League of Legends math for AI agents: MMR estimation, climb projections, KDA, hours. No API key.

Comment installer io.github.RyanKramer/rankedtoday-mcp ?

Il s'exécute sur votre machine. Dans Claude Code : claude mcp add rankedtoday-mcp -- uvx rankedtoday-mcp==0.1.0. Pour les autres clients, collez la configuration JSON de cette page dans leurs réglages MCP.

Faut-il une clé API pour io.github.RyanKramer/rankedtoday-mcp ?

Son entrée au registre n'indique aucune clé ni secret obligatoire. Certaines fonctions peuvent tout de même demander un compte auprès du service auquel il se connecte.

io.github.RyanKramer/rankedtoday-mcp est-il open source ?

Oui. Son code est sur GitHub sous licence MIT.

Qui maintient io.github.RyanKramer/rankedtoday-mcp ?

Il est publié par RyanKramer. AI.tn le référence sans le maintenir ni le recommander.

Issu du registre MCP officiel. Être listé n'est pas une recommandation : vérifiez le code et les permissions d'un serveur avant de lui donner accès à vos données.