Faceit MCP Server for OpenAI Agents SDK 12 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Faceit through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MCPServerStreamableHttp(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as mcp_server:
agent = Agent(
name="Faceit Assistant",
instructions=(
"You help users interact with Faceit. "
"You have access to 12 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Faceit"
)
print(result.final_output)
asyncio.run(main())
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About Faceit MCP Server
Connect to Faceit and access the world's largest competitive gaming platform through natural conversation.
The OpenAI Agents SDK auto-discovers all 12 tools from Faceit through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Faceit, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
What you can do
- Player Search — Find any player by nickname with Faceit level, ELO and game stats
- Player Stats — Get detailed CS2/Valorant stats including K/D, win rate, headshot %
- Match Details — View match results, scores and individual player performance
- Hub Info — Browse community hubs with matches, leaderboards and member info
- Tournaments — Search upcoming and ongoing tournaments by game and skill level
- Games Catalog — View all games supported on the Faceit platform
The Faceit MCP Server exposes 12 tools through the Vinkius. Connect it to OpenAI Agents SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect Faceit to OpenAI Agents SDK via MCP
Follow these steps to integrate the Faceit MCP Server with OpenAI Agents SDK.
Install the SDK
Run pip install openai-agents in your Python environment
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
Run the script
Save the code above and run it: python agent.py
Explore tools
The agent will automatically discover 12 tools from Faceit
Why Use OpenAI Agents SDK with the Faceit MCP Server
OpenAI Agents SDK provides unique advantages when paired with Faceit through the Model Context Protocol.
Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety
Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure
Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
Faceit + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Faceit MCP Server delivers measurable value.
Automated workflows: build agents that query Faceit, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries Faceit, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Faceit tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Faceit to resolve tickets, look up records, and update statuses without human intervention
Faceit MCP Tools for OpenAI Agents SDK (12)
These 12 tools become available when you connect Faceit to OpenAI Agents SDK via MCP:
get_games
Returns game IDs, names, icons and player counts. Get all supported games on Faceit
get_hub
Returns hub name, game, player count, rules, settings and organizer info. Get details for a specific Faceit hub
get_hub_leaderboard
Returns player rankings with nicknames, ELO, Faceit level and position. Get the leaderboard for a specific hub
get_hub_matches
Returns match IDs, teams, scores, status and timestamps. Filter by type: "all", "upcoming", "ongoing", "past". Get matches for a specific hub
get_match
Get details for a specific match
get_match_stats
Returns K/D/A, headshot %, K/R ratio, MVP rounds and other per-player performance metrics. Get player statistics for a specific match
get_player
Returns nickname, avatar, country, Faceit levels for all games, ELO ratings, member_since and game player IDs (Steam, Riot, etc.). Get detailed profile for a specific Faceit player
get_player_bans
Returns ban type, reason, date and duration. Get ban history for a player
get_player_history
Returns match IDs, results (win/loss), score, ELO change, date and game. Use game filter to get history for a specific game. Get match history for a player
get_player_stats
Returns matches played, win rate, K/D ratio, ELO, headshot percentage (CS2), average kills/deaths and current win streak. Get game-specific stats for a player
search_players
Returns player IDs, nicknames, avatars, Faceit levels, ELO ratings and game stats. Useful for finding any player on the platform. Search for Faceit players by nickname
search_tournaments
Returns tournament names, IDs, games, skill level requirements, start times, prize pools and registration status. Search for tournaments on Faceit
Example Prompts for Faceit in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Faceit immediately.
"Search for player s1mple on Faceit."
"Show me upcoming CS2 tournaments."
"Get the leaderboard for hub abc123."
Troubleshooting Faceit MCP Server with OpenAI Agents SDK
Common issues when connecting Faceit to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Faceit + OpenAI Agents SDK FAQ
Common questions about integrating Faceit MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.Can I use multiple MCP servers in one agent?
MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.Does the SDK support streaming responses?
Connect Faceit with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Faceit to OpenAI Agents SDK
Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.