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.

"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

"What champions is he best at?"

Returns the top N champions based on mastery points.

"How good is this player with Ahri?"

Returns detailed champion mastery data for a specific champion.

"Show the last 3 matches for this summoner"

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

"Summarize this match for a given match ID"

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

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

# Install dependencies (using uv or pip)
uv sync

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/

Register this server in your MCP client (e.g., Claude for Desktop).

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"
            ]
        }
    }
}

The following tools will be exposed to MCP clients:

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

Returns top champions by mastery points.

Returns mastery details for a specific champion.

Returns recent matches for the given summoner.

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

• Model Context Protocol Python SDK
• Riot Games API Docs
• Data Dragon (static data)

MIT License © 2025 jifrozen0110