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hkaanengin/opendota-mcp-server

by Various

MCP server providing AI assistants with access to Dota 2 statistics via OpenDota API. 20+ tools for player stats, hero data, and match analysis with natural language support.

H

MCP

hkaanengin/opendota-mcp-server

Added 1 June 2026

#dota2 #fastmcp #mcp #mcp-server #opendota

Overview

An MCP server that connects AI assistants to Dota 2 statistics through the OpenDota API. It exposes over 20 tools for querying player stats, hero data, and match analysis using natural language.

Best for

Best for
Developers building AI assistants that need to answer Dota 2 stat questions conversationally

Use cases

  • Ask for a player’s recent match history and performance stats
  • Get hero-specific win rates and pick/ban data
  • Analyze specific match details like team compositions and timings

How to use

Install

pip install -e ".[dev]"

Tools exposed

  • get_player_info
  • get_player_win_loss
  • get_heroes_played
  • get_player_peers
  • get_player_totals
  • get_player_histograms
  • get_heroes
  • get_hero_matchups
  • get_hero_item_popularity
  • get_hero_stats
  • get_match_details
  • get_parsed_match_details
  • get_player_recent_matches
  • get_hero_id_by_name
  • get_hero_by_id
  • convert_lane_name_to_id
  • resolve_time_name
  • search_players
  • get_constants
  • get_player_counts

Tested with

Claude Desktop

Example client config

{\n  "mcpServers": {\n    "opendota": {\n      "command": "/path/to/your/opendota-mcp-server/.venv/bin/opendota-mcp"\n    }\n  }\n}

Notes

An MCP server that connects AI assistants to Dota 2 statistics through the OpenDota API. It exposes over 20 tools for querying player stats, hero data, and match analysis using natural language.

2 stars on GitHub. Last updated 2026-01-28.

Use cases

  • Ask for a player’s recent match history and performance stats
  • Get hero-specific win rates and pick/ban data
  • Analyze specific match details like team compositions and timings

Pros

  • Gives AI direct access to rich Dota 2 match and player data
  • Natural language interface reduces need for manual API calls
  • Small, focused codebase in Python, easy to inspect

Cons

  • Only 2 GitHub stars, indicating very limited community use or validation
  • Relies on the external OpenDota API, which has rate limits and may change
  • No authentication or user-specific setup, limits tailored queries

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

Pros

  • Gives AI direct access to rich Dota 2 match and player data
  • Natural language interface reduces need for manual API calls
  • Small, focused codebase in Python, easy to inspect

Cons

  • Only 2 GitHub stars, indicating very limited community use or validation
  • Relies on the external OpenDota API, which has rate limits and may change
  • No authentication or user-specific setup, limits tailored queries
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