MCP Riot Server
Integrates with the Riot Games API to provide League of Legends data to AI assistants.
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
✨ 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
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"
]
}
}
}
🛠️ 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.
📚 References
📝 License
MIT License © 2025 jifrozen0110
Related Servers
Prometheus
Interact with your Prometheus monitoring infrastructure using natural language.
CData Zuora MCP Server
An MCP server for Zuora, powered by the CData JDBC Driver. Requires a separate driver and configuration file for connection.
ChartMogul
Access and manage ChartMogul data, including customers, plans, and analytics.
Zuora Product Catalog
An MCP server for accessing a Zuora product catalog, deployable on Cloudflare Workers.
Salesforce Order Concierge
An ecommerce assistant for Salesforce, enabling interaction with orders, returns, and customer service operations.
SolarWinds Logs
Access and visualize logs from SolarWinds Observability.
Weather MCP Server
Provides current weather data and allows for city comparisons.
Kong Konnect MCP Server
Interact with Kong Konnect APIs to query and analyze Kong Gateway configurations, traffic, and analytics.
Snowflake Cortex AI
An MCP server for Snowflake providing tools for Cortex AI features like Search, Analyst, and Complete.
Weather MCP Server
Provides weather information using the OpenWeatherMap API.
