LinkedIn Ads MCP Server for Vercel AI SDK 6 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect LinkedIn 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.
ASK AI ABOUT THIS MCP SERVER
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 LinkedIn 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 LinkedIn Ads MCP Server
Connect your LinkedIn Ads account to any AI agent to automate your professional marketing analytics and reporting. This MCP server enables your agent to list ad accounts, monitor campaign performance (impressions, clicks, spend), and retrieve conversion data directly from natural language interfaces using the latest LinkedIn REST API version.
The Vercel AI SDK gives every LinkedIn Ads tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 6 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
- Account Discovery — List all accessible ad accounts and retrieve their current status and IDs
- Campaign Monitoring — Query campaign groups and individual campaigns to track your marketing objectives
- Performance Querying — Retrieve real-time performance metrics like impressions, clicks, and cost across various pivots (Account, Campaign, Creative)
- Creative Oversight — List and inspect individual ad variations and their technical configurations
- Conversion Tracking — Retrieve definitions for conversion rules to monitor your return on ad spend (ROAS)
The LinkedIn Ads 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.
How to Connect LinkedIn Ads to Vercel AI SDK via MCP
Follow these steps to integrate the LinkedIn 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 6 tools from LinkedIn Ads and passes them to the LLM
Why Use Vercel AI SDK with the LinkedIn Ads MCP Server
Vercel AI SDK provides unique advantages when paired with LinkedIn 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 LinkedIn Ads integration everywhere
Built-in streaming UI primitives let you display LinkedIn 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
LinkedIn Ads + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the LinkedIn Ads MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query LinkedIn Ads in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate LinkedIn Ads tools and return structured JSON responses to any frontend
Chatbots with tool use: embed LinkedIn Ads capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with LinkedIn Ads through natural language queries
LinkedIn Ads MCP Tools for Vercel AI SDK (6)
These 6 tools become available when you connect LinkedIn Ads to Vercel AI SDK via MCP:
get_ad_analytics
Requires pivot and dateRange parameters. Query performance metrics (impressions, clicks, spend)
list_ad_accounts
List all accessible LinkedIn Ad Accounts
list_ad_campaigns
List all campaigns for an ad account
list_ad_creatives
List all ad creatives for an ad account
list_campaign_groups
List campaign groups for an ad account
list_conversion_rules
List conversion tracking rules for an account
Example Prompts for LinkedIn Ads in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with LinkedIn Ads immediately.
"List all my LinkedIn Ad accounts."
"Show performance metrics for account ID '500123' for the year 2024."
"List all campaigns associated with my account."
Troubleshooting LinkedIn Ads MCP Server with Vercel AI SDK
Common issues when connecting LinkedIn Ads to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpLinkedIn Ads + Vercel AI SDK FAQ
Common questions about integrating LinkedIn 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 LinkedIn 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 LinkedIn Ads to Vercel AI SDK
Get your token, paste the configuration, and start using 6 tools in under 2 minutes. No API key management needed.