How to Use the LinkedIn Ads MCP in OpenAI Agents SDK

Q: Do I need to write custom parsers for the LinkedIn Ads API responses?

No. The tools like listadcampaigns return clean, structured JSON payloads. Your OpenAI agent automatically discovers these schemas and parses the campaign data without any custom coding on your end.

Run safe, production-grade LinkedIn Ads automation using your OpenAI Agents SDK with built-in execution guardrails.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect LinkedIn Ads MCP to OpenAI Agents SDK

Create your Vinkius account to connect LinkedIn Ads to OpenAI Agents SDK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

GDPR Free for Subscribers

Setup LinkedIn Ads with OpenAI Agents SDK

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Run audit checks on live campaigns

Your agent uses `list_ad_accounts` and `list_campaign_groups` to map your entire account structure. It inspects group budgets and campaign configurations without manual digging. Because you are running this on the OpenAI Agents SDK, you can set strict guardrails. The agent lists the active campaigns with `list_ad_campaigns` but cannot edit them without your explicit approval.

Track spend with OpenAI Agents SDK

This MCP Server lets your agent call `get_ad_analytics` to pull immediate performance metrics like clicks, spend, and impressions, ending your reliance on manual CSV exports. The OpenAI dashboard traces every single API call. You see exactly when the agent checks your `list_conversion_rules` to match conversions against live ad spend.

Inspect ad creatives for brand compliance

Let specialized agents handle different parts of your creative audit by pulling active assets using `list_ad_creatives`. This multi-agent setup is native to the OpenAI Agents SDK. It isolates the tool calls so your main agent stays focused on high-level strategy while sub-agents dissect the actual creative copy.

Setup guide

Set up LinkedIn Ads MCP in OpenAI Agents SDK

Prerequisites

Python 3.10+ installed
openai-agents package (pip install openai-agents)
Active Vinkius subscription with a valid endpoint token

1

Install the SDK

Run pip install openai-agents to install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed.
2

Connect via SSE transport

Use MCPServerSse with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. The SDK auto-discovers all LinkedIn Ads tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives LinkedIn Ads tools as native definitions — JSON schemas resolve automatically.
4

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate LinkedIn Ads tools and returns structured results. Copy the full example on the right to get started.

agent.py

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerSse

async def main():
    async with MCPServerSse(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as server:
        agent = Agent(
            name="LinkedIn Ads Agent",
            instructions="You have access to LinkedIn Ads tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by LinkedIn Ads. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect LinkedIn Ads now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about LinkedIn Ads MCP in OpenAI Agents SDK

You don't have to manage complex OAuth flows in your Python code. Vinkius handles the authentication on its secure infrastructure, giving you a single endpoint token to pass directly into your OpenAI Agents SDK setup.

Yes. You can define strict system prompts and guardrails within the OpenAI Agents SDK to prevent your agent from calling specific tools. The MCP Server exposes the tools, but your agent configuration controls when and how they are used.

The SDK manages agent execution steps while the Vinkius managed MCP Server handles the underlying API transport. When your agent calls `get_ad_analytics`, the server manages the raw HTTP requests to keep your pipeline running smoothly.

No. The tools like `list_ad_campaigns` return clean, structured JSON payloads. Your OpenAI agent automatically discovers these schemas and parses the campaign data without any custom coding on your end.

Your ad account IDs, campaign budgets, and conversion rules never persist on Vinkius. The MCP Server operates inside a zero-trust, ephemeral V8 Isolate sandbox that processes the API requests on the fly and wipes the memory instantly.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript