OpenDota MCP. Analyze deep match data and MMR trends.

OpenDota MCP Server - Analyze Dota 2 Match Data

You're getting your AI client direct access to one of the largest Dota 2 match databases out there. Instead of spending time on complicated websites or juggling a dozen APIs, you just ask natural questions and get structured data back. This lets you pull raw esports metrics straight into conversation.

To track individual player performance, use get_player to grab current details like their rank tier, MMR estimate, total matches played, and country. For a quick look at recent form, get_player_recent_matches pulls the last twenty games. If you need a full career rundown, get_player_matches lists every single match they've played, including the hero used, result, KDA, and duration, sorted by what happened most recently.

For deep performance checks, get_benchmarks compares any player’s stats—like their win rate or damage output—against how the entire Dota 2 population performs. You can also run get_player_wl to see exactly how many times a specific player won versus lost with every hero they've ever played. To identify all-time personal high scores, get_player_records shows every record a player holds, listing the match ID and the metric value (like their highest kill count).

When you need to understand what's going down in professional play, start with the team level. Use get_team to pull detailed intel on a pro squad, including their current roster, rating, and win/loss track record. To review any single game, get_match returns every piece of data from that match: all ten heroes, their item builds, KDA, damage totals, and objectives hit in professional contests.

For the general league overview, you can use list_leagues for a directory of pro leagues, giving you IDs, tiers, regions, and tournament dates.

For meta-game analysis across the whole population, get_distributions shows you how many players are sitting in every single rank bracket, from Herald all the way up to Immortal. You can also check overall player status using list_recent_matches, which returns up to 500 recent public matches and includes MMR averages and the winner for fast browsing.

If you're looking at team listings generally, list_teams lists every professional team, sorted by their rating, along with basic stats like wins/losses and when they last played.

To pull data on a player's hero usage across their entire career, run get_player_heroes, which calculates performance metrics specifically for all the heroes that given player has used. To see what records are held universally, use get_records to identify all-time record holders for various game metrics like kills or gold per minute across every public match.

The database also keeps track of system constants; you can pull predefined data sets using get_constants, such as lists that define different game modes or lobby types.

When you're hunting down IDs and names—say, finding a player when you only know their common name—use the search tool. If you need to dive into advanced meta-game trends or run complex queries nobody else can handle, run_explorer_query executes custom SQL against the whole database for deep analysis. To get basic reference points, list_heroes returns the full roster of all 124 Dota 2 heroes and their key attributes, roles, and details.