How to Use the UTM Campaign Builder MCP in AutoGen

Q: What inputs does UTM Campaign Builder require when using AutoGen?

The minimum required fields are the base landing page URL, utmsource, and utmmedium. The agents must ensure these three pieces of data are passed to the tool call.

Get consensus on perfect tracking links with AutoGen's multi-agent debate framework.

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Connect UTM Campaign Builder MCP to AutoGen

Create your Vinkius account to connect UTM Campaign Builder 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 UTM Campaign Builder with AutoGen

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Use the MCP Server for reliable UTM link generation

The `build_utm_url` tool generates flawless, encoded marketing URLs. In an AutoGen setup, one agent can be tasked with creating a link while another verifies its format. This structure allows agents to challenge and agree upon the final URL before it's used in the conversation.

Verify UTM parameters using the MCP Server within AutoGen

The tool requires the base landing page, source, and medium. If an agent generates a link with missing or malformed data, another agent can spot the error by calling `build_utm_url` and forcing a correct output. It's excellent for multi-agent systems where multiple perspectives need to validate technical outputs.

Build complex UTM links with AutoGen and MCP Server

The ability to add optional parameters like `utm_campaign` or `utm_content` means you can run a debate: 'Agent A suggests X, but Agent B insists we need Y.' The tool helps converge on the full, correct link. This is critical for marketing workflows where different teams contribute varied tracking needs.

Setup guide

Set up UTM Campaign Builder 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 UTM Campaign Builder 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="UTM Campaign Builder_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent UTM Campaign Builder 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="UTM Campaign Builder_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent UTM Campaign Builder data")
    print(result.messages[-1].content)

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Common questions about UTM Campaign Builder MCP in AutoGen

AutoGen's strength is debate. You can set up agents to argue about the best link structure, using `build_utm_url` as a neutral, authoritative tool that provides the technically correct output for them to agree on.

The minimum required fields are the base landing page URL, `utm_source`, and `utm_medium`. The agents must ensure these three pieces of data are passed to the tool call.

Yes. You can build a system where one agent gathers inputs, and another uses `build_utm_url` to generate the final link, forcing consensus on its accuracy.

Absolutely. You can assign one agent the role of 'Link Tester.' This agent calls `build_utm_url` repeatedly with different test parameters to validate that the system always spits out correctly encoded URLs.

This MCP Server handles URL query strings. It processes marketing identifiers like `utm_source` and `utm_medium`. This is structured metadata, not private user identity information.

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