Ranked Today MCP is a Python-based Model Context Protocol server for League of Legends analysis. It provides MMR estimation, ranked-climb projections, KDA and hours-played calculations, and cognitive-readiness references without requiring an API key.
In the Frameworks & runtimes space, Ranked Today MCP takes a focused approach. It focuses on analyzing League of Legends performance, rank progression, playtime, and readiness without manually calculating metrics or using an API key. It is built as an open-source project for league of Legends players and developers building MCP-enabled assistants. It runs on the command line, and it can be self-hosted.
It is developed by Ryan Kramer. Among its 7 catalogued features are MMR estimation, climb projections, and KDA analysis. It exposes integrations via an MCP server.
Summary written by a language model from the project’s public pages.
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