Which scopes are required for this server?

Your access token must have at least `r_ads_reporting` and `r_ads` scopes to list accounts and fetch performance metrics.

How do I specify the time range for analytics?

You must provide a Restli-formatted string in the `params` field, including `dateRange=(start:(day:X,month:Y,year:Z))`. Refer to LinkedIn API documentation for exact syntax.

Is the API Key (Personal Access Token) supported?

LinkedIn uses OAuth2 tokens. You can generate a long-lived Access Token through the LinkedIn Developer Portal's Token Generator tool for development use.

LinkedIn Ads MCP Server for OpenAI Agents SDK 6 tools — connect in under 2 minutes

Name: LinkedIn Ads
Availability: InStock
Author: Vinkius

openai.github.io/openai-agents-python/mcp

Built by Vinkius GDPR 6 Tools SDK

The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect LinkedIn Ads through the Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails — no manual schema definitions required.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

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

async def main():
    # Your Vinkius token — get it at cloud.vinkius.com
    async with MCPServerStreamableHttp(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as mcp_server:

        agent = Agent(
            name="LinkedIn Ads Assistant",
            instructions=(
                "You help users interact with LinkedIn Ads. "
                "You have access to 6 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from LinkedIn Ads"
        )
        print(result.final_output)

asyncio.run(main())

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* 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 OpenAI Agents SDK auto-discovers all 6 tools from LinkedIn Ads through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns — chain multiple agents where one queries LinkedIn Ads, another analyzes results, and a third generates reports, all orchestrated through the Vinkius.

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 OpenAI Agents 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 OpenAI Agents SDK via MCP

Follow these steps to integrate the LinkedIn Ads MCP Server with OpenAI Agents SDK.

Install the SDK

Run pip install openai-agents in your Python environment

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Run the script

Save the code above and run it: python agent.py

Explore tools

The agent will automatically discover 6 tools from LinkedIn Ads

Why Use OpenAI Agents SDK with the LinkedIn Ads MCP Server

OpenAI Agents SDK provides unique advantages when paired with LinkedIn Ads through the Model Context Protocol.

Native MCP integration via `MCPServerSse` — pass the URL and the SDK auto-discovers all tools with full type safety

Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure

Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate

First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output

LinkedIn Ads + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the LinkedIn Ads MCP Server delivers measurable value.

Automated workflows: build agents that query LinkedIn Ads, process the data, and trigger follow-up actions autonomously

Multi-agent orchestration: create specialist agents — one queries LinkedIn Ads, another analyzes results, a third generates reports

Data enrichment pipelines: stream data through LinkedIn Ads tools and transform it with OpenAI models in a single async loop

Customer support bots: agents query LinkedIn Ads to resolve tickets, look up records, and update statuses without human intervention

LinkedIn Ads MCP Tools for OpenAI Agents SDK (6)

These 6 tools become available when you connect LinkedIn Ads to OpenAI Agents 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 OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents 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 OpenAI Agents SDK

Common issues when connecting LinkedIn Ads to OpenAI Agents SDK through the Vinkius, and how to resolve them.

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

LinkedIn Ads + OpenAI Agents SDK FAQ

Common questions about integrating LinkedIn Ads MCP Server with OpenAI Agents SDK.

How does the OpenAI Agents SDK connect to MCP?

Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.