How to Use the LinkedIn Ads MCP in AutoGen

Q: How do AutoGen agents access LinkedIn Ads tools?

Use mcpservertools from autogen-extmcp to fetch the tool definitions from Vinkius. Pass the resulting tool list to your AssistantAgent instances to enable campaign management capabilities.

Q: Can multiple AutoGen agents coordinate LinkedIn Ads actions?

Yes. One agent can query campaign performance using getcampaignanalytics and pass the results to a supervisor agent, who then instructs an execution agent to call enablecampaign.

Deploy a team of AutoGen agents to debate, audit, and optimize your LinkedIn Ads campaigns and budget allocation.

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Connect LinkedIn Ads MCP to AutoGen

Create your Vinkius account to connect LinkedIn Ads to AutoGen 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 AutoGen

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Multi-agent campaign control via AutoGen

The `pause_campaign` tool stops spend on underperforming campaigns instantly. In your AutoGen setup, a performance agent analyzes metrics while a budget agent flags spend limits, debating whether to call this tool. Once they reach a consensus, the agent executes the action. This prevents single-agent errors and ensures that budget-altering decisions undergo rigorous multi-perspective validation before execution.

Audit LinkedIn Ads using collaborative agents

The `get_account_analytics` tool retrieves high-level performance metrics across your entire LinkedIn ad account. Your AutoGen agents dissect this data from different angles to identify structural inefficiencies. One agent might look for cost-per-click anomalies while another checks conversion rates using `get_campaign_analytics`. They synthesize their findings into a single, cohesive optimization strategy.

Deep account mapping with this MCP Server

The `list_campaign_groups` tool provides a complete view of your account's structural organization. AutoGen agents use this information to map out existing campaigns and identify overlapping target audiences. By combining this with `list_creatives`, your agent team can audit creative distribution across different campaign groups. They ensure your messaging remains consistent across all active ads without manual cross-checking.

Setup guide

Set up LinkedIn Ads MCP in AutoGen

Prerequisites

Python 3.10+ installed
autogen-ext[mcp] package
Active Vinkius subscription with a valid endpoint token

1

Install AutoGen with MCP
Run pip install "autogen-ext[mcp]" autogen-agentchat. The MCP extension includes mcp_server_tools for stateless tool access.
2

Fetch tools from the MCP
Call mcp_server_tools(SseServerParams(url=...)) with your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Run your agent
Pass the tools to AssistantAgent and call agent.run(). The agent invokes LinkedIn Ads tools and returns structured results.

agent.py

from autogen_ext.tools.mcp import SseServerParams, mcp_server_tools
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

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

tools = await mcp_server_tools(server_params)

agent = AssistantAgent(
    name="LinkedIn Ads_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent LinkedIn Ads data")
print(result.messages[-1].content)

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Prerequisites

Python 3.10+ installed
autogen-ext[mcp] + autogen-agentchat
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Same packages as above. McpWorkbench is ideal when your agent needs stateful sessions across multiple tool calls.
2

Use McpWorkbench as context manager
Wrap your agent in async with McpWorkbench(...) to maintain shared state and resources. The workbench manages the full MCP session lifecycle.
3

Run with workbench
Pass workbench=workbench to your agent. State is preserved across multiple tool calls within the same session.

agent.py

from autogen_ext.tools.mcp import McpWorkbench, SseServerParams
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

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

async with McpWorkbench(server_params) as workbench:
    agent = AssistantAgent(
        name="LinkedIn Ads_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent LinkedIn Ads data")
    print(result.messages[-1].content)

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 AutoGen

Use `mcp_server_tools` from `autogen-ext[mcp]` to fetch the tool definitions from Vinkius. Pass the resulting tool list to your `AssistantAgent` instances to enable campaign management capabilities.

Yes. One agent can query campaign performance using `get_campaign_analytics` and pass the results to a supervisor agent, who then instructs an execution agent to call `enable_campaign`.

You can configure your AutoGen orchestrator to throttle tool calls. This prevents your agents from spamming tools like `list_campaigns` and hitting LinkedIn API rate limits during intense debates.

This server supports both stdio and Streamable HTTP transports. You can connect your local AutoGen environment directly to our managed cloud endpoint using a secure HTTP connection.

Your credentials and campaign metrics are strictly processed in transit using secure, token-based authentication. Vinkius runs the MCP Server in an ephemeral sandbox, ensuring your private ad data is never exposed or logged.

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