How to Use the UTM Campaign Builder MCP in Pydantic AI

Build Flawless Tracking Links: UTM Campaign Builder for Pydantic AI.

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Connect UTM Campaign Builder MCP to Pydantic AI

Create your Vinkius account to connect UTM Campaign Builder to Pydantic AI 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 Pydantic AI

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Claude

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Construct Perfect Marketing URLs

The `build_utm_url` tool safely constructs and encodes marketing tracking links. It forces the agent to define a base landing page URL, source, and medium. Because of Pydantic validation, you'll know instantly if the required inputs are missing or malformed.

Handling Optional UTM Parameters

The `build_utm_url` tool lets your agent optionally add campaign, term, and content parameters. The resulting URL is always validated against a clean data schema. This means you never get silent corruption; if the output structure is wrong, the agent fails loudly.

Guaranteed Safe Encoding

The tool handles all URL encoding and query string merging safely. It prevents your AI client from generating broken tracking links. This level of runtime validation makes it perfect for critical production agents where data correctness matters more than speed.

Setup guide

Set up UTM Campaign Builder MCP in Pydantic AI

Prerequisites

Python 3.10+ installed
pydantic-ai-slim[fastmcp] package
Active Vinkius subscription with a valid endpoint token

1

Install Pydantic AI with FastMCP
Run pip install "pydantic-ai-slim[fastmcp]". The FastMCP toolset replaces the deprecated MCPServerHTTP class with full protocol support.
2

Configure the FastMCPToolset
Pass a JSON-style config dict to FastMCPToolset with your Vinkius URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports Streamable HTTP, SSE, and Stdio transports.
3

Create and run your agent
Pass the toolset to Agent(toolsets=[toolset]) and call agent.run(). Swap openai:gpt-4o for any supported model — Anthropic, Google, Mistral, or Groq.

agent.py

from pydantic_ai import Agent
from pydantic_ai.toolsets.fastmcp import FastMCPToolset

toolset = FastMCPToolset({
    "mcpServers": {
        "utm-campaign-builder-mcp": {
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
        }
    }
})

agent = Agent(
    "openai:gpt-4o",
    toolsets=[toolset],
    system_prompt="You have access to UTM Campaign Builder tools.",
)

result = await agent.run("List recent UTM Campaign Builder transactions")
print(result.output)

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Common questions about UTM Campaign Builder MCP in Pydantic AI

You pass the MCP Server to your Agent, and Pydantic handles validation of both the inputs and the final output. The agent uses `build_utm_url` as a type-safe tool.

It generates validated strings: fully encoded, complete marketing URLs that adhere to strict formatting rules. The structure is guaranteed by the MCP Server's definition.

Yes. Because every response is validated against a model, you know for sure that `build_utm_url` produced a correctly encoded and merged URL.

You can. The tool handles the required minimum parameters (URL, source, medium) and any number of optional tags while maintaining strict data integrity through validation.

This MCP Server touches structured marketing parameters: base URLs and various UTM tracking tags (source, medium, campaign, etc.).

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