"Valorant" matching MCP servers:

Provides VALORANT account and match data through HenrikDev's API. Enables querying profile, recent competitive matches, and match details.

Enables MCP-capable assistants to perform post-match Valorant analysis by inspecting stats, reviewing rounds and deaths, rendering tactical maps, and finding community lineups from a Riot ID or match link.

MCP server for Valorant esports that enables querying match schedules, live results, AI-powered analysis, and setting reminders.

Provides Valorant game data through the Model Context Protocol, including player details, match history, MMR, leaderboards, and game content using the HenrikDev API.

MCP server for Valorant match analysis. Enables fetching player stats, match history, agent performance, and more via Henrik's Valorant API.

A Model Context Protocol implementation that enables AI agents to retrieve game data from OP.GG for League of Legends, Teamfight Tactics, Valorant, and esports through function calling.

MCP server for Valorant esports analytics that exposes structured metrics and database query tools, enabling AI-assisted match analysis, player profiling, scouting reports, and coaching insights.

Provides structured Valorant esports analytics data and metrics through MCP, including match analysis, player profiling, scouting reports, and ad-hoc SQL queries. Enables AI models to generate accurate coaching insights from pre-computed analytics tables.

Enables AI agents to access and analyze professional esports data for League of Legends and Valorant via the GRID.gg API. It provides tools for team lookups, executing GraphQL queries, and retrieving detailed match replay files and event definitions.

Provides access to comprehensive Riot Games API documentation for League of Legends, Teamfight Tactics, Valorant, and Legends of Runeterra, including endpoint details, parameters, and response formats.