UTM Campaign Builder MCP Server for OpenAI Agents SDKGive OpenAI Agents SDK instant access to 1 tools to Build Utm Url
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect UTM Campaign Builder through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.
Ask AI about this MCP Server for OpenAI Agents SDK
The UTM Campaign Builder MCP Server for OpenAI Agents SDK is a standout in the Marketing Automation category — giving your AI agent 1 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MCPServerStreamableHttp(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as mcp_server:
agent = Agent(
name="UTM Campaign Builder Assistant",
instructions=(
"You help users interact with UTM Campaign Builder. "
"You have access to 1 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from UTM Campaign Builder"
)
print(result.final_output)
asyncio.run(main())
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About UTM Campaign Builder MCP Server
When a Martech AI Agent drafts social media posts or email campaigns, it needs to append tracking data to the links (UTMs). LLMs are notorious for hallucinating query strings—adding double ??, forgetting to URL-encode spaces, or breaking existing parameters. This ruins data attribution in Google Analytics. This MCP solves that perfectly.
The OpenAI Agents SDK auto-discovers all 1 tools from UTM Campaign Builder through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries UTM Campaign Builder, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
The Superpowers
- Strict URL Encoding: Merges
utm_source,utm_medium, and other parameters cleanly into any base URL using strict browser-grade encoding. - Analytics Protection: Guarantees that every generated link works perfectly without causing 404s or dropping tracking data.
The UTM Campaign Builder MCP Server exposes 1 tools through the Vinkius. Connect it to OpenAI Agents SDK in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
All 1 UTM Campaign Builder tools available for OpenAI Agents SDK
When OpenAI Agents SDK connects to UTM Campaign Builder through Vinkius, your AI agent gets direct access to every tool listed below — spanning utm-parameters, campaign-tracking, link-building, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.
Build utm url on UTM Campaign Builder
Provide the base landing page URL, utm_source, and utm_medium as required fields. Optionally add campaign, term, and content. The engine handles all URL encoding and query string merging safely. Safely constructs and encodes marketing UTM tracking URLs. Prevents AI from hallucinating broken query strings
Connect UTM Campaign Builder to OpenAI Agents SDK via MCP
Follow these steps to wire UTM Campaign Builder into OpenAI Agents SDK. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.
Install the SDK
pip install openai-agents in your Python environmentReplace the token
[YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.comRun the script
python agent.pyExplore tools
Why Use OpenAI Agents SDK with the UTM Campaign Builder MCP Server
OpenAI Agents SDK provides unique advantages when paired with UTM Campaign Builder through the Model Context Protocol.
Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety
Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure
Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
UTM Campaign Builder + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the UTM Campaign Builder MCP Server delivers measurable value.
Automated workflows: build agents that query UTM Campaign Builder, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries UTM Campaign Builder, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through UTM Campaign Builder tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query UTM Campaign Builder to resolve tickets, look up records, and update statuses without human intervention
Example Prompts for UTM Campaign Builder in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with UTM Campaign Builder immediately.
"Build a tracking URL for `https://vinkius.com/pricing` with source `linkedin` and medium `social`."
"Add UTM tracking to this link for our Black Friday email blast."
"I have this landing page that already has `?ref=affiliate`. Append the UTM source `facebook` safely."
Troubleshooting UTM Campaign Builder MCP Server with OpenAI Agents SDK
Common issues when connecting UTM Campaign Builder to OpenAI Agents SDK through Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
UTM Campaign Builder + OpenAI Agents SDK FAQ
Common questions about integrating UTM Campaign Builder MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.Can I use multiple MCP servers in one agent?
MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.Does the SDK support streaming responses?
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