OP.GG
Connects AI agents to OP.GG data via a Model Context Protocol implementation, enabling function calling for data retrieval.
About
The OP.GG Model Context Protocol (MCP) server bridges the gap between OP.GG's extensive game data and AI agents. By implementing the MCP, it provides a standardized interface for AI agents to retrieve valuable data through function calls. This allows AI models and agent frameworks to easily consume and utilize OP.GG data for various applications related to League of Legends, Teamfight Tactics (TFT), and Valorant.
Key Features
- Supports installation via Smithery and direct connection via SSE for flexible deployment.
- Delivers esports schedules and team standings for League of Legends.
- Provides access to League of Legends champion analysis and leaderboard data.
- 7 GitHub stars
- Offers TFT meta deck lists, item combinations, champion builds, and playstyle commentary.
- Includes Valorant meta maps, character statistics, leaderboard, agent compositions, and player match history.
Use Cases
- Building AI agents capable of providing personalized gaming advice.
- Integrating real-time game data into AI-powered gaming assistants.
- Analyzing game trends and statistics to inform strategic decisions.