Liftoff MCP Server for Vercel AI SDK 7 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Liftoff 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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Vinkius supports streamable HTTP and SSE.
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 Liftoff, list all available capabilities.",
});
console.log(text);
} finally {
await mcpClient.close();
}
}
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 Liftoff MCP Server
Connect your Liftoff (formerly Vungle) advertising account to any AI agent to automate your mobile marketing analytics and reporting. This MCP server enables your agent to list campaigns, request detailed performance reports, and monitor spend in real-time directly from natural language interfaces.
The Vercel AI SDK gives every Liftoff tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 7 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
- Campaign Oversight — List all apps, campaigns, and creative assets to map performance IDs to readable names
- Automated Reporting — Request asynchronous performance reports (v1) for deep dives into historical data
- Real-time Spend — Query synchronous spend and install metrics (v2) for immediate operational awareness
- Lifecycle Tracking — Monitor the status of report generation and download completed results effortlessly
- Dimension Filtering — Filter your data by app, campaign, country, and platform to identify growth opportunities
The Liftoff MCP Server exposes 7 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 Liftoff to Vercel AI SDK via MCP
Follow these steps to integrate the Liftoff MCP Server with Vercel AI SDK.
Install dependencies
Run npm install @ai-sdk/mcp ai @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the script
Save to agent.ts and run with npx tsx agent.ts
Explore tools
The SDK discovers 7 tools from Liftoff and passes them to the LLM
Why Use Vercel AI SDK with the Liftoff MCP Server
Vercel AI SDK provides unique advantages when paired with Liftoff through the Model Context Protocol.
TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same Liftoff integration everywhere
Built-in streaming UI primitives let you display Liftoff tool results progressively in React, Svelte, or Vue components
Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency
Liftoff + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Liftoff MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Liftoff in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Liftoff tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Liftoff capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Liftoff through natural language queries
Liftoff MCP Tools for Vercel AI SDK (7)
These 7 tools become available when you connect Liftoff to Vercel AI SDK via MCP:
download_report_results
Retrieve the data for a completed report
get_report_status
Check the status of a requested report
get_spend_metrics
Get a synchronous spend and performance report (v2)
list_liftoff_apps
List all applications in your Liftoff account
list_liftoff_campaigns
List all advertising campaigns
list_liftoff_creatives
List all creative assets
request_performance_report
Requires start and end dates. Initialize a performance report request (v1)
Example Prompts for Liftoff in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Liftoff immediately.
"List all active advertising campaigns in Liftoff."
"Show recent spend and installs for campaign ID 'camp-123'."
"Request a performance report for the month of July in JSON format."
Troubleshooting Liftoff MCP Server with Vercel AI SDK
Common issues when connecting Liftoff to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpLiftoff + Vercel AI SDK FAQ
Common questions about integrating Liftoff MCP Server with Vercel AI SDK.
How does the Vercel AI SDK connect to MCP servers?
createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.Can I use MCP tools in Edge Functions?
Does it support streaming tool results?
useChat and streamText that handle tool calls and display results progressively in the UI.Connect Liftoff 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 Liftoff to Vercel AI SDK
Get your token, paste the configuration, and start using 7 tools in under 2 minutes. No API key management needed.