Facebook Ads MCP Server for Vercel AI SDK 12 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Facebook 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 Facebook 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 Facebook Ads MCP Server
Connect your Facebook Ads (Meta Marketing) account to any AI agent and take full control of your advertising campaigns through natural conversation.
The Vercel AI SDK gives every Facebook Ads tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 12 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 all campaigns, fetch detailed settings, and update statuses (ACTIVE/PAUSED) directly from the cloud
- Ad Set & Ad Inspection — Drill down into specific ad sets and ads to review targeting, budgets, and creative details
- Performance Insights — Extract granular metrics like impressions, clicks, spend, reach, and CPC to analyze your ROI
- Account Overview — Retrieve ad account metadata including balance, currency, and overall account status
- Identity Context — Verify the authorized user and access level for the connected marketing token
The Facebook Ads 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 Facebook Ads to Vercel AI SDK via MCP
Follow these steps to integrate the Facebook 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 12 tools from Facebook Ads and passes them to the LLM
Why Use Vercel AI SDK with the Facebook Ads MCP Server
Vercel AI SDK provides unique advantages when paired with Facebook 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 Facebook Ads integration everywhere
Built-in streaming UI primitives let you display Facebook 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
Facebook Ads + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Facebook Ads MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Facebook Ads in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Facebook Ads tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Facebook Ads capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Facebook Ads through natural language queries
Facebook Ads MCP Tools for Vercel AI SDK (12)
These 12 tools become available when you connect Facebook Ads to Vercel AI SDK via MCP:
get_ad_account_info
Get basic info for the Facebook Ad Account
get_ad_details
Get details for a specific ad
get_ad_set_details
Get details for a specific ad set
get_campaign_details
Get details for a specific campaign
get_insights
Get performance insights for the Ad Account
get_me
Get current token identity info
list_ad_sets
List ad sets in the Ad Account
list_ads
List ads in the Ad Account
list_campaigns
List campaigns in the Ad Account
update_ad_set_status
Update the status of an ad set
update_ad_status
Update the status of an ad
update_campaign_status
Update the status of a campaign
Example Prompts for Facebook Ads in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Facebook Ads immediately.
"List all active campaigns in my ad account."
"Show me the performance insights for the last week."
"Pause campaign 123456789."
Troubleshooting Facebook Ads MCP Server with Vercel AI SDK
Common issues when connecting Facebook Ads to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpFacebook Ads + Vercel AI SDK FAQ
Common questions about integrating Facebook 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 Facebook 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 Facebook Ads to Vercel AI SDK
Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.