Faceit MCP Server for Mastra AI 12 tools — connect in under 2 minutes
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Faceit through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";
async function main() {
// Your Vinkius token. get it at cloud.vinkius.com
const mcpClient = await createMCPClient({
servers: {
"faceit": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "Faceit Agent",
instructions:
"You help users interact with Faceit " +
"using 12 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with Faceit?"
);
console.log(result.text);
}
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.
Mastra's agent abstraction provides a clean separation between LLM logic and Faceit tool infrastructure. Connect 12 tools through Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution. deployable to any Node.js host in one command.
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 Mastra AI 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 Mastra AI via MCP
Follow these steps to integrate the Faceit MCP Server with Mastra AI.
Install dependencies
Run npm install @mastra/core @mastra/mcp @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.ts and run with npx tsx agent.ts
Explore tools
Mastra discovers 12 tools from Faceit via MCP
Why Use Mastra AI with the Faceit MCP Server
Mastra AI provides unique advantages when paired with Faceit through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Faceit without touching business code
Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation
TypeScript-native: full type inference for every Faceit tool response with IDE autocomplete and compile-time checks
One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure
Faceit + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the Faceit MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query Faceit, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed Faceit as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query Faceit on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using Faceit tools alongside other MCP servers
Faceit MCP Tools for Mastra AI (12)
These 12 tools become available when you connect Faceit to Mastra AI 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 Mastra AI
Ready-to-use prompts you can give your Mastra AI 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 Mastra AI
Common issues when connecting Faceit to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpFaceit + Mastra AI FAQ
Common questions about integrating Faceit MCP Server with Mastra AI.
How does Mastra AI connect to MCP servers?
MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.Can Mastra agents use tools from multiple servers?
Does Mastra support workflow orchestration?
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 Mastra AI
Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.