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 AutoGen 6 tools — connect in under 2 minutes

Name: LinkedIn Ads
Availability: InStock
Author: Vinkius

microsoft.github.io/autogen/docs/tools/mcp-tools

Built by Vinkius GDPR 6 Tools Framework

Microsoft AutoGen enables multi-agent conversations where agents negotiate, delegate, and execute tasks collaboratively. Add LinkedIn Ads as an MCP tool provider through the Vinkius and every agent in the group can access live data and take action.

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 autogen_agentchat.agents import AssistantAgent
from autogen_ext.tools.mcp import McpWorkbench

async def main():
    # Your Vinkius token — get it at cloud.vinkius.com
    async with McpWorkbench(
        server_params={"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"},
        transport="streamable_http",
    ) as workbench:
        tools = await workbench.list_tools()
        agent = AssistantAgent(
            name="linkedin_ads_agent",
            tools=tools,
            system_message=(
                "You help users with LinkedIn Ads. "
                "6 tools available."
            ),
        )
        print(f"Agent ready with {len(tools)} tools")

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.

AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use LinkedIn Ads tools. Connect 6 tools through the Vinkius and assign role-based access — a data analyst queries while a reviewer validates, with optional human-in-the-loop approval for sensitive operations.

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 AutoGen 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 AutoGen via MCP

Follow these steps to integrate the LinkedIn Ads MCP Server with AutoGen.

Install AutoGen

Run pip install "autogen-ext[mcp]"

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Integrate into workflow

Use the agent in your AutoGen multi-agent orchestration

Explore tools

The workbench discovers 6 tools from LinkedIn Ads automatically

Why Use AutoGen with the LinkedIn Ads MCP Server

AutoGen provides unique advantages when paired with LinkedIn Ads through the Model Context Protocol.

Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use LinkedIn Ads tools to solve complex tasks

Role-based architecture lets you assign LinkedIn Ads tool access to specific agents — a data analyst queries while a reviewer validates

Human-in-the-loop support: agents can pause for human approval before executing sensitive LinkedIn Ads tool calls

Code execution sandbox: AutoGen agents can write and run code that processes LinkedIn Ads tool responses in an isolated environment

LinkedIn Ads + AutoGen Use Cases

Practical scenarios where AutoGen combined with the LinkedIn Ads MCP Server delivers measurable value.

Collaborative analysis: one agent queries LinkedIn Ads while another validates results and a third generates the final report

Automated review pipelines: a researcher agent fetches data from LinkedIn Ads, a critic agent evaluates quality, and a writer produces the output

Interactive planning: agents negotiate task allocation using LinkedIn Ads data to make informed decisions about resource distribution

Code generation with live data: an AutoGen coder agent writes scripts that process LinkedIn Ads responses in a sandboxed execution environment

LinkedIn Ads MCP Tools for AutoGen (6)

These 6 tools become available when you connect LinkedIn Ads to AutoGen 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 AutoGen

Ready-to-use prompts you can give your AutoGen 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 AutoGen

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

McpWorkbench not found

Install: pip install "autogen-ext[mcp]"

LinkedIn Ads + AutoGen FAQ

Common questions about integrating LinkedIn Ads MCP Server with AutoGen.

How does AutoGen connect to MCP servers?

Create an MCP tool adapter and assign it to one or more agents in the group chat. AutoGen agents can then call LinkedIn Ads tools during their conversation turns.

Can different agents have different MCP tool access?

Yes. AutoGen's role-based architecture lets you assign specific MCP tools to specific agents, so a querying agent has different capabilities than a reviewing agent.