How to Use the CleverTap MCP in OpenAI Agents SDK

Query CleverTap campaign data directly inside your OpenAI Agents SDK build for production-grade engagement tracking.

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Connect CleverTap MCP to OpenAI Agents SDK

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

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Campaign performance in OpenAI Agents SDK

Call `get_campaign_performance_report` to pull live metrics into your Python agent flow. You get the raw numbers needed for decision-making without leaving your workspace. This MCP Server handles the handshake so your agent receives clean data packets. It keeps your logic focused on the execution rather than the request overhead.

Real-time user monitoring

Use `get_real_time_usage_stats` to feed live session counts into your agent's decision loop. It updates your context window with current traffic patterns as they happen. Your agent checks these values to adjust outreach logic on the fly. It turns static scripts into responsive systems that react to actual user behavior.

User profile auditing

Invoke `get_user_profile_details` to fetch specific identity attributes for your agent to review. This maps user data into your agent's memory for personalized task handling. `list_user_profile_properties` lets you see what data points are available for every customer in your database. It ensures your agent only requests fields that exist.

Setup guide

Set up CleverTap 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 CleverTap tools at runtime.
3

Create your Agent

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

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate CleverTap 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="CleverTap Agent",
            instructions="You have access to CleverTap 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 CleverTap MCP in OpenAI Agents SDK

You instantiate the MCPServerStreamableHttp class with your endpoint. Pass that into your Agent constructor using the mcp_servers parameter. The SDK handles the rest.

Yes. Every tool call from this server passes through your defined validation logic. If the data looks off, your guardrails catch it before execution.

Set cacheToolsList to True when you configure the server. This keeps your agent performant by reducing redundant API calls for static schema data.

Vinkius manages the auth layer for you. You just provide the token once, and your agent gets a secure, authenticated bridge to your growth data.

Your customer engagement logs stay isolated within the V8 sandbox. We never store your raw user profile attributes or event schemas on our infrastructure.

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