LoL Client MCP is a Python-based server that interacts with the League of Legends Live Client Data API to fetch real-time game data, player stats, and in-game events, facilitating integration and analysis.
Added on:
Created by:
May 14 2025
LoL Client MCP is a Python-based server that interacts with the League of Legends Live Client Data API to fetch real-time game data, player stats, and in-game events, facilitating integration and analysis.
Added on:
Created by:
May 14 2025
MCP Mirror
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What is LoL Client MCP?
LoL Client MCP is a comprehensive MCP (Model-Controller-Processor) server designed for accessing and managing real-time data from the League of Legends client. It uses the Riot Games Live Client Data API to retrieve detailed in-game information, including player stats, game events, and active player data. Built on the FastMCP framework, it exposes various endpoints as tools for developers, researchers, and players to analyze gameplay, develop automation tools, or build custom interfaces. The server supports easy installation, configuration, and integration with other applications, ensuring seamless access to live game data for a variety of use cases.
Who will use LoL Client MCP?
- Game developers
- Esports analysts
- League of Legends players
- Research researchers
- Automation tool creators
How to use the LoL Client MCP?
- Step1: Clone the repository from GitHub
- Step2: Install dependencies using uv (pip install uv)
- Step3: Run the server with python main.py
- Step4: Connect your application or tool to the MCP server
- Step5: Use available API endpoints to fetch real-time game data
LoL Client MCP's Core Features & Benefits
The Core Features
- get_all_game_data
- get_game_stats
- get_event_data
- get_active_player
- get_player_list
- get_player_scores
- get_player_summoner_spells
- get_player_main_runes
- get_player_items
The Benefits
- Provides real-time access to live game data
- Facilitates integration with third-party tools
- Supports customized data retrieval for analysis
- Enables automation of gameplay monitoring
- Built using Python for flexibility and extendability
LoL Client MCP's Main Use Cases & Applications
- Real-time game analytics and monitoring
- Development of game-related tools and dashboards
- Automated in-game data collection for research
- E-sports performance analysis
FAQs of LoL Client MCP
Developer
- MCP-Mirror
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