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Pointagram MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 6 tools to Create Player, Get Player Stats, List Players, and more

Built by Vinkius GDPR 6 Tools SDK

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

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Ask AI about this App Connector for Vercel AI SDK

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The Pointagram app connector for Vercel AI SDK is a standout in the Productivity category — giving your AI agent 6 tools to work with, ready to go from day one.

Vinkius delivers Streamable HTTP and SSE to any MCP client

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 Pointagram, list all available capabilities.",
    });
    console.log(text);
  } finally {
    await mcpClient.close();
  }
}

main();
Pointagram
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About Pointagram MCP Server

Connect your Pointagram account to any AI agent to streamline your team gamification and engagement workflows. Pointagram provides a powerful platform for programmatically managing players, teams, and score series through its robust v2.0 REST API.

The Vercel AI SDK gives every Pointagram tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 6 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 Orchestration — List and create player profiles with detailed tracking of levels, nicknames, and avatars
  • Scoring Event Automation — Post real-time scoring events to update player points across different score series programmatically
  • Team Management — Access and monitor your gamification teams and retrieve detailed membership metadata
  • Score Series Discovery — List all your active score series to understand how points are accumulated and distributed
  • Performance Intelligence — Retrieve granular player stats and rankings using natural language commands

The Pointagram MCP Server exposes 6 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.

All 6 Pointagram tools available for Vercel AI SDK

When Vercel AI SDK connects to Pointagram through Vinkius, your AI agent gets direct access to every tool listed below — spanning gamification, employee-engagement, leaderboards, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.

create_player

Pass data as a JSON string. Create a new player

get_player_stats

Get stats for a player

list_players

List all Pointagram players

list_score_series

List all score series

list_teams

List all Pointagram teams

post_event

Pass data as a JSON string. Post a scoring event

Connect Pointagram to Vercel AI SDK via MCP

Follow these steps to wire Pointagram into Vercel AI SDK. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.

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 6 tools from Pointagram and passes them to the LLM

Why Use Vercel AI SDK with the Pointagram MCP Server

Vercel AI SDK provides unique advantages when paired with Pointagram 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 Pointagram integration everywhere

03

Built-in streaming UI primitives let you display Pointagram 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

Pointagram + Vercel AI SDK Use Cases

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

01

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

02

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

03

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

04

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

Example Prompts for Pointagram in Vercel AI SDK

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

01

"List all active players in Pointagram."

02

"Post 100 points for player '123' in the 'Sales Bonus' series."

03

"Show me the top 5 score series."

Troubleshooting Pointagram MCP Server with Vercel AI SDK

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

01

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

Pointagram + Vercel AI SDK FAQ

Common questions about integrating Pointagram 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.