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
Máy chủ liên quan
Tailscale MCP Server
Integrate with Tailscale's CLI and API for automated network management and monitoring.
MCP SSH Server
Provides SSH access to remote servers, allowing AI tools to securely connect to your VPS for management.
Wuying AgentBay MCP Server
A cloud infrastructure from Alibaba Cloud for AI Agents, featuring one-click configuration and serverless execution.
SharePoint MCP Server
Integrates with Microsoft SharePoint, allowing interaction with documents, folders, and other SharePoint resources.
Workday by CData
A read-only server for querying live Workday data using LLMs, powered by the CData JDBC Driver.
Weather MCP Server
Provides current weather data and allows for city comparisons.
Code Ocean MCP Server
Search and run capsules, execute pipelines, and manage data assets on the Code Ocean platform.
Simple OpenStack MCP
Execute OpenStack CLI commands using LLMs. Requires a configured OpenStack CLI environment.
Kaggle
Interact with the Kaggle API to access datasets, notebooks, and competitions.
MCP Google Map Server
Integrates Google Maps API for location-based queries and data processing.
