What data can I get?
Player stats, match history, side-by-side comparisons, leaderboard, ELO trend, match details, and per-map performance stats.
@bluemadisonblue
基本信息
Standalone MCP server for live CS2 FACEIT data — player stats, match history, comparisons, leaderboard, and ELO trend. Works with Claude Desktop and Claude Code.
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"faceit-cs2": {
"command": "python",
"args": [
"C:/full/path/to/faceit-mcp/faceit_mcp_server.py"
],
"env": {
"FACEIT_API_KEY": "your_key_here"
}
}
}
}ELO, skill level, region, lifetime K/D, HS%, win rate, streaks
Last N matches — map, W/L, K/D, kills, HS%, K/R
Side-by-side stats for 2–6 FACEIT nicknames
Aggregated stats from last N matches: win rate, avg K/D, current streak, per-map breakdown
Full scoreboard for a match by ID — teams, score, all player stats, multi-kills
Per-map win rate, K/D, HS%, and K/R from lifetime segments
Registered users ranked by live ELO
Stored ELO snapshots for a registered user
An MCP server that gives Claude live CS2 FACEIT data — player stats, match history, side-by-side comparisons, leaderboard, and ELO trend. It integrates with the FACEIT Data API and works with Claude Desktop and Claude Code.
Clone the repository, install dependencies with pip install -r requirements.txt, and set your FACEIT API key in a .env file. Then configure the server in claude_desktop_config.json or add it via claude mcp add for Claude Code.
Player stats, match history, side-by-side comparisons, leaderboard, ELO trend, match details, and per-map performance stats.
Most tools work with just an API key. Leaderboard and ELO trend require a SQLite database with registered users.
Create a `.env` file with `FACEIT_API_KEY=your_key_here` or pass it as an environment variable in the Claude Desktop config.
Python 3.12+ and dependencies: `mcp`, `aiohttp`, `aiosqlite`, and `python-dotenv`.
Yes, add the server via `claude mcp add faceit-cs2 -- python /path/to/faceit_mcp_server.py` and set the API key in the `.env` file.

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