How to Use the KlickTipp MCP in OpenAI Agents SDK

Q: How does the agent know which KlickTipp tag to apply?

The model reads your prompt context and queries listtags to find a match. It then executes tagcontact using the returned ID.

Automate your KlickTipp tag architecture safely using the OpenAI Agents SDK and built-in execution guardrails.

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Connect KlickTipp MCP to OpenAI Agents SDK

Create your Vinkius account to connect KlickTipp to OpenAI Agents SDK 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 KlickTipp with OpenAI Agents SDK

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Control KlickTipp MCP Server tags

KlickTipp relies heavily on tags to drive email logic. Exposing this structure to your OpenAI agent means it can dynamically read existing segmentation via `list_tags` and apply new behavioral markers using `tag_contact`. You don't have to write custom wrappers for the API. Handoffs between specialized agents make this powerful. A lead-scoring agent can evaluate a user's recent activity, then pass the context to a marketing agent that immediately calls `untag_contact` to pull them out of a cold sequence. Everything gets logged to your OpenAI tracing dashboard.

Manage subscriptions autonomously

Adding new users requires knowing exactly which opt-in process they belong to. Your agent can pull available workflows with `list_subscription_processes` before it attempts to register anyone. This prevents hardcoded ID errors in your production environment. Once the right process is identified, the agent fires `subscribe_contact` to drop the user into the correct funnel. If a user requests account deletion, the system handles compliance by triggering `unsubscribe_contact` directly through the SDK.

Read custom fields securely

Basic contact data rarely tells the whole story. By running `get_contact` combined with `list_fields`, your agent retrieves the exact custom attributes stored in your database. Because OpenAI Agents SDK enforces strict guardrails, you can set boundaries on who gets to view this data. The agent validates the request before pulling sensitive customer details, ensuring your marketing automation doesn't leak internal states.

Setup guide

Set up KlickTipp MCP in OpenAI Agents SDK

Prerequisites

Python 3.10+ installed
openai-agents package (pip install openai-agents)
Active Vinkius subscription with a valid endpoint token

1

Install the SDK

Run pip install openai-agents to install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed.
2

Connect via SSE transport

Use MCPServerSse with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. The SDK auto-discovers all KlickTipp tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives KlickTipp tools as native definitions — JSON schemas resolve automatically.
4

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate KlickTipp tools and returns structured results. Copy the full example on the right to get started.

agent.py

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerSse

async def main():
    async with MCPServerSse(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as server:
        agent = Agent(
            name="KlickTipp Agent",
            instructions="You have access to KlickTipp tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

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Common questions about KlickTipp MCP in OpenAI Agents SDK

Install the package via pip install openai-agents. Then initialize MCPServerStreamableHttp with your endpoint URL and pass it to the mcp_servers array in your Agent constructor.

Yes. Set cacheToolsList=True when configuring the agent. This stops the client from fetching the tool schema on every single request, speeding up initialization.

The model reads your prompt context and queries list_tags to find a match. It then executes tag_contact using the returned ID.

Built-in guardrails prevent this. You can constrain the agent to always run list_subscription_processes first, ensuring it only uses valid IDs when subscribing contacts.

The server accesses raw email addresses, custom fields, and tag histories. The get_contact tool pulls this directly into your agent's context window, so you must configure your OpenAI data retention policies to handle PII properly.

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