LinkedIn Ads MCP Server for Mastra AI 6 tools — connect in under 2 minutes
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect LinkedIn Ads through the Vinkius and Mastra agents discover all tools automatically — type-safe, streaming-ready, and deployable anywhere Node.js runs.
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Vinkius supports streamable HTTP and SSE.
import { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";
async function main() {
// Your Vinkius token — get it at cloud.vinkius.com
const mcpClient = await createMCPClient({
servers: {
"linkedin-ads": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "LinkedIn Ads Agent",
instructions:
"You help users interact with LinkedIn Ads " +
"using 6 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with LinkedIn Ads?"
);
console.log(result.text);
}
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.
Mastra's agent abstraction provides a clean separation between LLM logic and LinkedIn Ads tool infrastructure. Connect 6 tools through the Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution — deployable to any Node.js host in one command.
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 Mastra AI 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 Mastra AI via MCP
Follow these steps to integrate the LinkedIn Ads MCP Server with Mastra AI.
Install dependencies
Run npm install @mastra/core @mastra/mcp @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.ts and run with npx tsx agent.ts
Explore tools
Mastra discovers 6 tools from LinkedIn Ads via MCP
Why Use Mastra AI with the LinkedIn Ads MCP Server
Mastra AI provides unique advantages when paired with LinkedIn Ads through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure — add LinkedIn Ads without touching business code
Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation
TypeScript-native: full type inference for every LinkedIn Ads tool response with IDE autocomplete and compile-time checks
One-command deployment to any Node.js host — Vercel, Railway, Fly.io, or your own infrastructure
LinkedIn Ads + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the LinkedIn Ads MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query LinkedIn Ads, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed LinkedIn Ads as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query LinkedIn Ads on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using LinkedIn Ads tools alongside other MCP servers
LinkedIn Ads MCP Tools for Mastra AI (6)
These 6 tools become available when you connect LinkedIn Ads to Mastra AI 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 Mastra AI
Ready-to-use prompts you can give your Mastra AI 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 Mastra AI
Common issues when connecting LinkedIn Ads to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpLinkedIn Ads + Mastra AI FAQ
Common questions about integrating LinkedIn Ads MCP Server with Mastra AI.
How does Mastra AI connect to MCP servers?
MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.Can Mastra agents use tools from multiple servers?
Does Mastra support workflow orchestration?
Connect LinkedIn Ads with your favorite client
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Connect LinkedIn Ads to Mastra AI
Get your token, paste the configuration, and start using 6 tools in under 2 minutes. No API key management needed.