How to Use the LinkedIn Ads MCP in CrewAI

Deploy a specialized crew of agents to monitor and manage LinkedIn Ads performance for your operations.

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Connect LinkedIn Ads MCP to CrewAI

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

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Setup LinkedIn Ads with CrewAI

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Autonomous LinkedIn Ads monitoring for CrewAI

Assign an agent to keep eyes on your metrics. Using `get_ad_analytics`, the agent polls performance data and alerts the crew if spend goes off track. It works in the background. Your team gets summaries instead of raw data dumps.

Multi-agent LinkedIn Ads research for CrewAI

Have one agent call `list_ad_campaigns` while another checks `list_ad_creatives`. They share memory to build a complete view of your active ads. This removes the need for manual auditing. The crew finds the discrepancies for you.

Conversion auditing in CrewAI

Keep your tracking healthy by using `list_conversion_rules` to verify your setup. An agent can compare these to your site's expected events. It identifies gaps in your reporting. You resolve tracking issues before they ruin your attribution data.

Setup guide

Set up LinkedIn Ads MCP in CrewAI

Prerequisites

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

1

Install CrewAI
Run pip install crewai to install the framework. MCP support is built-in via the mcps parameter.
2

Add the MCP URL to your agent
Pass your Vinkius endpoint directly to the mcps list. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. CrewAI handles tool discovery and caching automatically.
3

Kick off your crew
Create a Crew with your agent and tasks. Call crew.kickoff() — the agent will automatically invoke LinkedIn Ads tools as needed.

crew.py

from crewai import Agent, Task, Crew

agent = Agent(
    role="LinkedIn Ads Analyst",
    goal="Access and analyze LinkedIn Ads data via MCP.",
    backstory="Expert analyst with direct LinkedIn Ads access.",
    mcps=[
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ],
)

task = Task(
    description="List recent LinkedIn Ads transactions",
    agent=agent,
    expected_output="A summary of recent activity",
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

Get your connection token →

Prerequisites

Python 3.10+ installed
crewai + crewai-tools packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install crewai crewai-tools. The MCPServerAdapter handles lifecycle management and tool conversion.
2

Connect with MCPServerAdapter
Use MCPServerAdapter as a context manager with SseServerParameters pointing to your Vinkius endpoint. The adapter automatically manages connection lifecycle.
3

Assign tools and run
Pass the returned mcp_tools to your agent's tools parameter. The adapter converts MCP tools to native BaseTool objects compatible with all CrewAI agents.

crew.py

from crewai import Agent, Task, Crew
from crewai_tools import MCPServerAdapter
from mcp import SseServerParameters

server_params = SseServerParameters(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

with MCPServerAdapter(server_params) as mcp_tools:
    agent = Agent(
        role="LinkedIn Ads Analyst",
        goal="Access and analyze LinkedIn Ads data via MCP.",
        backstory="Expert analyst with direct LinkedIn Ads access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent LinkedIn Ads transactions",
        agent=agent,
        expected_output="A summary of recent activity",
    )

    crew = Crew(agents=[agent], tasks=[task])
    result = crew.kickoff()
    print(result)

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

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Common questions about LinkedIn Ads MCP in CrewAI

Add the server URL to your agent configuration. The agents will then have access to the full suite of LinkedIn Ads tools.

They can read and analyze. You control the scope of their actions by limiting which tools you expose to each agent.

You provide the endpoint token at runtime. The server uses this to authenticate your requests to the LinkedIn API.

The server is ephemeral. It processes your account and campaign data only for the duration of the agent task.

It can see account IDs, campaign hierarchies, creative assets, and conversion rules. All data is scoped strictly to what the API returns for your credentials.

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