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.

Couples therapist Figs O'Sullivan (LMFT, 17 years, endorsed by Sue Johnson, creator of EFT) inside your AI. Ask relationship questions answered from his clinical writing, name the pattern in a fight, get a three-step rep
This open-source curriculum introduces the fundamentals of Model Context Protocol (MCP) through real-world, cross-language examples in .NET, Java, TypeScript, JavaScript, Rust and Python. Designed for developers, it focuses on practical techniques for building modular, scalable,

DeepMark helps teachers deliver rapid, consistent marking with meaningful feedback for every student — in a fraction of the time. What once took a week, now takes one free period.

B2B competitive intelligence, live sales battlecards, 5-axis ICP prospect fit scoring, and tech stack teardowns over MCP and REST with cited public-web evidence.
PickFu MCP is a Model Context Protocol (MCP) server that connects AI assistants, developers, marketers, product managers, and AI agents to PickFu's consumer research platform. It enables users to create surveys, conduct
评论