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opgginc/opgg-mcp

by Various

πŸ“‡ ☁️ - Access real-time gaming data across popular titles like League of Legends, TFT, and Valorant, offering champion analytics, esports schedules, meta compositions, and charact

O

MCP

opgginc/opgg-mcp

Added 1 June 2026

Overview

An open-source MCP server that provides real-time gaming data for League of Legends, TFT, and Valorant. It exposes champion analytics, esports schedules, and meta compositions via the Model Context Protocol for integration with AI assistants.

Best for

Best for
Developers creating AI assistants that need live gaming stats and esports schedules

Use cases

  • Retrieve upcoming esports match schedules for a specific game
  • Query current champion win rates and popular builds
  • Fetch recommended team compositions for TFT

How to use

Tools exposed

  • lol_get_champion_analysis
  • lol_get_champion_synergies
  • lol_get_lane_matchup_guide
  • lol_list_champion_details
  • lol_list_champion_leaderboard
  • lol_list_champions
  • lol_list_lane_meta_champions
  • lol_get_summoner_game_detail
  • lol_get_summoner_profile
  • lol_list_summoner_matches
  • lol_list_discounted_skins
  • lol_list_items
  • lol_get_pro_player_riot_id
  • lol_esports_list_schedules
  • lol_esports_list_team_standings
  • tft_get_champion_item_build
  • tft_get_play_style
  • tft_list_augments
  • tft_list_champions_for_item
  • tft_list_item_combinations

Notes

An open-source MCP server that provides real-time gaming data for League of Legends, TFT, and Valorant. It exposes champion analytics, esports schedules, and meta compositions via the Model Context Protocol for integration with AI assistants.

92 stars on GitHub. Last updated 2026-05-23. Licensed MIT.

Use cases

  • Retrieve upcoming esports match schedules for a specific game
  • Query current champion win rates and popular builds
  • Fetch recommended team compositions for TFT

Pros

  • Open source with 92 stars and active TypeScript codebase
  • Delivers real-time data from multiple popular games
  • Standard MCP interface simplifies integration into AI tools

Cons

  • Limited to three games only
  • Community-maintained may have variable update frequency
  • Requires MCP-compatible client to access data

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.

Pros

  • Open source with 92 stars and active TypeScript codebase
  • Delivers real-time data from multiple popular games
  • Standard MCP interface simplifies integration into AI tools

Cons

  • Limited to three games only
  • Community-maintained may have variable update frequency
  • Requires MCP-compatible client to access data
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