How to Use the LinkedIn Ads MCP in CrewAI

Q: How do I filter LinkedIn Ads tools for specific CrewAI agents?

Use the toolfilter option in your CrewAI setup to restrict access. You can ensure only your execution agent has permission to pause or enable campaigns.

Q: How do I monitor my LinkedIn Ads spend with CrewAI?

Task an agent with calling getaccountanalytics on a schedule. It can then report the spend back to you or trigger alerts based on your rules.

Deploy a CrewAI team to manage LinkedIn Ads with specialized agents for research, analysis, and campaign execution.

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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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Perplexity

Specialized agent campaign operations

Assign an agent to use `enable_campaign` and `pause_campaign` while another monitors results. CrewAI coordinates these agents so your execution is consistent. This setup removes the need for manual campaign adjustments. Your crew handles the daily grind of monitoring performance and toggling spend.

Strategic B2B performance monitoring

Your research agent calls `get_account_analytics` to gather raw data. Then, your analytical agent interprets the numbers to identify growth opportunities. This MCP Server provides the raw data your agents need to make informed decisions. You get a clear picture of your B2B performance without the manual crunch.

Full-stack resource discovery

Use `list_campaigns` and `get_account_info` to keep your agents updated on your account state. The agents build a mental map of your current ad structure. This ensures your agents are always working with the latest information. They track every creative and campaign group effectively.

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.

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Common questions about LinkedIn Ads MCP in CrewAI

Yes, by defining a crew where one agent analyzes data and another executes updates. They work together to adjust your campaigns based on performance.

Use the tool_filter option in your CrewAI setup to restrict access. You can ensure only your execution agent has permission to pause or enable campaigns.

It does. Pass the server URL directly into your agent definition. Your agents gain immediate access to all eight tools for your ad operations.

Task an agent with calling `get_account_analytics` on a schedule. It can then report the spend back to you or trigger alerts based on your rules.

The server runs in a Vinkius-managed sandbox. Your account data is never cached or stored, and all communication is encrypted between your agents and the API.

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