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Faceit MCP Server for Vercel AI SDK 12 tools — connect in under 2 minutes

Built by Vinkius GDPR 12 Tools SDK

The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Faceit through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.

Vinkius supports streamable HTTP and SSE.

typescript
import { createMCPClient } from "@ai-sdk/mcp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";

async function main() {
  const mcpClient = await createMCPClient({
    transport: {
      type: "http",
      // Your Vinkius token. get it at cloud.vinkius.com
      url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    },
  });

  try {
    const tools = await mcpClient.tools();
    const { text } = await generateText({
      model: openai("gpt-4o"),
      tools,
      prompt: "Using Faceit, list all available capabilities.",
    });
    console.log(text);
  } finally {
    await mcpClient.close();
  }
}

main();
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* 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 Vercel AI SDK gives every Faceit tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 12 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.

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 Vercel AI 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 Vercel AI SDK via MCP

Follow these steps to integrate the Faceit MCP Server with Vercel AI SDK.

01

Install dependencies

Run npm install @ai-sdk/mcp ai @ai-sdk/openai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the script

Save to agent.ts and run with npx tsx agent.ts

04

Explore tools

The SDK discovers 12 tools from Faceit and passes them to the LLM

Why Use Vercel AI SDK with the Faceit MCP Server

Vercel AI SDK provides unique advantages when paired with Faceit through the Model Context Protocol.

01

TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box

02

Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same Faceit integration everywhere

03

Built-in streaming UI primitives let you display Faceit tool results progressively in React, Svelte, or Vue components

04

Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency

Faceit + Vercel AI SDK Use Cases

Practical scenarios where Vercel AI SDK combined with the Faceit MCP Server delivers measurable value.

01

AI-powered web apps: build dashboards that query Faceit in real-time and stream results to the UI with zero loading states

02

API backends: create serverless endpoints that orchestrate Faceit tools and return structured JSON responses to any frontend

03

Chatbots with tool use: embed Faceit capabilities into conversational interfaces with streaming responses and tool call visibility

04

Internal tools: build admin panels where team members interact with Faceit through natural language queries

Faceit MCP Tools for Vercel AI SDK (12)

These 12 tools become available when you connect Faceit to Vercel AI SDK via MCP:

01

get_games

Returns game IDs, names, icons and player counts. Get all supported games on Faceit

02

get_hub

Returns hub name, game, player count, rules, settings and organizer info. Get details for a specific Faceit hub

03

get_hub_leaderboard

Returns player rankings with nicknames, ELO, Faceit level and position. Get the leaderboard for a specific hub

04

get_hub_matches

Returns match IDs, teams, scores, status and timestamps. Filter by type: "all", "upcoming", "ongoing", "past". Get matches for a specific hub

05

get_match

Get details for a specific match

06

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

07

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

08

get_player_bans

Returns ban type, reason, date and duration. Get ban history for a player

09

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

10

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

11

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

12

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 Vercel AI SDK

Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Faceit immediately.

01

"Search for player s1mple on Faceit."

02

"Show me upcoming CS2 tournaments."

03

"Get the leaderboard for hub abc123."

Troubleshooting Faceit MCP Server with Vercel AI SDK

Common issues when connecting Faceit to Vercel AI SDK through the Vinkius, and how to resolve them.

01

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

Faceit + Vercel AI SDK FAQ

Common questions about integrating Faceit MCP Server with Vercel AI SDK.

01

How does the Vercel AI SDK connect to MCP servers?

Import createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.
02

Can I use MCP tools in Edge Functions?

Yes. The AI SDK is fully edge-compatible. MCP connections work on Vercel Edge Functions, Cloudflare Workers, and similar runtimes.
03

Does it support streaming tool results?

Yes. The SDK provides streaming primitives like useChat and streamText that handle tool calls and display results progressively in the UI.

Connect Faceit to Vercel AI SDK

Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.