Meta Ads MCP Server for Vercel AI SDK 10 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Meta Ads through the 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 Meta Ads, 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 Meta Ads MCP Server
Connect Meta Ads to your AI agent and manage Facebook and Instagram advertising conversationally.
The Vercel AI SDK gives every Meta Ads tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 10 tools through the 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 Management — List, create, update, and pause campaigns, ad sets, and ads across Facebook and Instagram.
- Performance Analytics — Pull impressions, reach, clicks, CTR, CPC, CPM, conversions, ROAS, and frequency metrics.
- Audience Management — Create custom audiences, lookalikes, and saved audiences with demographic and interest targeting.
- Creative Insights — Compare ad creative performance, view thumbnail engagement, and identify winning variants.
The Meta Ads MCP Server exposes 10 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 Meta Ads to Vercel AI SDK via MCP
Follow these steps to integrate the Meta Ads 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 10 tools from Meta Ads and passes them to the LLM
Why Use Vercel AI SDK with the Meta Ads MCP Server
Vercel AI SDK provides unique advantages when paired with Meta Ads 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 Meta Ads integration everywhere
Built-in streaming UI primitives let you display Meta Ads 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
Meta Ads + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Meta Ads MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Meta Ads in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Meta Ads tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Meta Ads capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Meta Ads through natural language queries
Meta Ads MCP Tools for Vercel AI SDK (10)
These 10 tools become available when you connect Meta Ads to Vercel AI SDK via MCP:
activate_campaign
Activate a paused campaign
get_account_info
Get ad account details
get_account_insights
Get account-level performance
get_campaign_insights
Get campaign performance metrics
list_ad_sets
List ad sets in a campaign
list_ads
List ads in an ad set
list_audiences
List custom audiences
list_campaigns
List all Meta ad campaigns
list_creatives
List ad creatives
pause_campaign
Can be reactivated later. Pause a campaign
Example Prompts for Meta Ads in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Meta Ads immediately.
"What's my Meta ad spend and ROAS this month?"
"Which ad creatives are performing best?"
"Create a lookalike audience from my top 1000 customers."
Troubleshooting Meta Ads MCP Server with Vercel AI SDK
Common issues when connecting Meta Ads to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpMeta Ads + Vercel AI SDK FAQ
Common questions about integrating Meta Ads 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 Meta Ads 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 Meta Ads to Vercel AI SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.