MCP Riot Server

MCP-Riot is a community-developed Model Context Protocol (MCP) server that integrates with the Riot Games API to provide League of Legends data to AI assistants via natural language queries.

This project enables AI models to retrieve player information, ranked stats, champion mastery, and recent match summaries.

Disclaimer: This is an open-source project not affiliated with or endorsed by Riot Games. League of Legends® is a registered trademark of Riot Games, Inc.

Demo

mcp-riot-lol

✨ Features

🧾 Player Summary

"What's the current rank and top champions of Hide on bush?"

Provides the player's:

Level
Ranked Solo Tier
Top champion masteries
Recent match history

🔝 Top Champions

"What champions is he best at?"

Returns the top N champions based on mastery points.

🎯 Champion Mastery

"How good is this player with Ahri?"

Returns detailed champion mastery data for a specific champion.

🕹️ Recent Matches

"Show the last 3 matches for this summoner"

Lists recent matches including champion used, K/D/A, and result.

📊 Match Summary

"Summarize this match for a given match ID"

Returns the player’s match stats, such as KDA, damage, wards, and result.

🚀 Quick Start

1. Clone & Install

git clone https://github.com/jifrozen0110/mcp-riot.git
cd mcp-riot

# Install dependencies (using uv or pip)
uv sync

2. Get Your API Key and Set Environment

Create .env file with your Riot API key:

RIOT_API_KEY=your_riot_api_key

You can get your key from https://developer.riotgames.com/

3. Configure MCP Client

Edit ~/Library/Application Support/Claude/claude_desktop_config.json:

{
    "mcpServers": {
        "amadeus": {
            "command": "/ABSOLUTE/PATH/TO/PARENT/FOLDER/uv",
            "args": [
                "--directory",
                "/ABSOLUTE/PATH/TO/PARENT/FOLDER",
                "run",
                "--env-file",
                "/ABSOLUTE/PATH/TO/PARENT/FOLDER/.env",
                "riot.py"
            ]
        }
    }
}

Replace /ABSOLUTE/PATH/TO/PARENT/FOLDER/ with the actual path to your project folder.

my case:

{
    "mcpServers": {
        "amadeus": {
            "command": "/Users/jifrozen/.local/bin/uv",
            "args": [
                "--directory",
                "/Users/jifrozen/mcp-riot/src/",
                "run",
                "--env-file",
                "/Users/jifrozen/mcp-riot/.env",
                "server.py"
            ]
        }
    }
}

🛠️ Tools

The following tools will be exposed to MCP clients:

`get_player_summary`

Summarizes level, rank, top champions, and recent matches.

`get_top_champions_tool`

Returns top champions by mastery points.

`get_champion_mastery_tool`

Returns mastery details for a specific champion.

`get_recent_matches_tool`

Returns recent matches for the given summoner.

`get_match_summary`

Returns match performance stats for a given match ID and puuid.

League of Legends Data