How do I get my Adikteev API account?

You must contact your Adikteev Account Manager to have them enable API access for your account. Once enabled, you can use your standard login credentials (email and password) to authorize the agent.

What is a Churn Score?

A churn score ranks app users by their probability of leaving. Adikteev provides these in 'buckets' from 1 to 10, where 10 represents the highest risk of churn.

How do I create a new audience segment?

Use the `create_segment` tool and provide your `companyId`, a name, and a description. Your agent will create the segment in Adikteev and provide a `segmentId` for device ID uploads.

Adikteev MCP Server for OpenAI Agents SDK 5 tools — connect in under 2 minutes

Name: Adikteev
Availability: InStock
Author: Vinkius

openai.github.io/openai-agents-python/mcp

Built by Vinkius GDPR 5 Tools SDK

The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Adikteev through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

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="Adikteev Assistant",
            instructions=(
                "You help users interact with Adikteev. "
                "You have access to 5 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from Adikteev"
        )
        print(result.final_output)

asyncio.run(main())

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Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 Adikteev MCP Server

Connect your Adikteev account to your AI agent to unlock professional app retargeting and user retention insights. From managing custom audience segments to monitoring campaign performance and retrieving churn probability scores, your agent handles your mobile growth ecosystem through natural conversation.

The OpenAI Agents SDK auto-discovers all 5 tools from Adikteev through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Adikteev, another analyzes results, and a third generates reports, all orchestrated through Vinkius.

What you can do

Audience Orchestration — List, create, and manage audience segments for targeted app retargeting campaigns
Performance Reporting — Retrieve detailed campaign performance data to monitor ROI and engagement metrics
Churn Prediction — Access churn probability scores to identify at-risk app users before they leave your ecosystem
Company Insights — List companies and retrieve technical metadata required for audience management
Growth Monitoring — Quickly audit your retargeting efforts and identify high-value user segments directly from chat

The Adikteev MCP Server exposes 5 tools through the Vinkius. Connect it to OpenAI Agents SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Adikteev to OpenAI Agents SDK via MCP

Follow these steps to integrate the Adikteev MCP Server with OpenAI Agents SDK.

Install the SDK

Run pip install openai-agents in your Python environment

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Run the script

Save the code above and run it: python agent.py

Explore tools

The agent will automatically discover 5 tools from Adikteev

Why Use OpenAI Agents SDK with the Adikteev MCP Server

OpenAI Agents SDK provides unique advantages when paired with Adikteev 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

Adikteev + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the Adikteev MCP Server delivers measurable value.

Automated workflows: build agents that query Adikteev, process the data, and trigger follow-up actions autonomously

Multi-agent orchestration: create specialist agents. one queries Adikteev, another analyzes results, a third generates reports

Data enrichment pipelines: stream data through Adikteev tools and transform it with OpenAI models in a single async loop

Customer support bots: agents query Adikteev to resolve tickets, look up records, and update statuses without human intervention

Adikteev MCP Tools for OpenAI Agents SDK (5)

These 5 tools become available when you connect Adikteev to OpenAI Agents SDK via MCP:

create_segment

Create an audience segment

get_churn_scores

Retrieve user churn scores

get_reporting

Get campaign performance data

list_companies

Retrieve your company ID

list_segments

List audience segments

Example Prompts for Adikteev in OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Adikteev immediately.

"List all audience segments for my company."

"Retrieve the churn scores for my app with bundle 'com.example.app'."

"Show me the performance of my retargeting campaigns."

Troubleshooting Adikteev MCP Server with OpenAI Agents SDK

Common issues when connecting Adikteev to OpenAI Agents SDK through the Vinkius, and how to resolve them.

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

Adikteev + OpenAI Agents SDK FAQ

Common questions about integrating Adikteev MCP Server with OpenAI Agents SDK.

How does the OpenAI Agents SDK connect to MCP?

Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.