How to Use the Infobip (Omnichannel Communications) MCP in OpenAI Agents SDK

Run production-ready customer outreach loops with OpenAI Agents SDK using direct Infobip SMS, WhatsApp, and CRM tools.

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Connect Infobip (Omnichannel Communications) MCP to OpenAI Agents SDK

Create your Vinkius account to connect Infobip (Omnichannel Communications) 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 Infobip (Omnichannel Communications) with OpenAI Agents SDK

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Safeguard WhatsApp and SMS Dispatches via OpenAI Agents SDK

OpenAI's agent framework lets you set strict runtime guardrails before your agent triggers customer-facing actions. When your agent decides to execute `dispatch_whatsapp_message` or `dispatch_sms_message`, the SDK intercepts the call to verify the recipient's phone number structure. This prevents your model from sending unapproved outbound messages to random numbers during a conversational loop. The MCP integration ensures you get full visibility into every automated dispatch because the agent tracks these tool calls natively. If a customer replies with an opt-out keyword, your agent can immediately parse the response and trigger `delete_crm_person` to keep your database compliant. It is a tight, secure loop that runs without manual oversight.

Synchronize Live Customer Profiles with People CDP

Stop letting your conversational agents operate on stale customer records. By exposing `get_person_details` and `list_crm_people` to your specialized agent, it can pull real-time context from the Infobip People CDP mid-conversation. The agent knows exactly who it is talking to, their past communication preferences, and their current CRM status. When the user shares new details like a corrected spelling or an updated email, the agent calls `update_person_name` or `upsert_crm_person` on the fly. This updates your source of truth instantly instead of dumping raw notes into an unstructured text file.

Monitor Global Handoffs with Automated MCP Server Logs

Sending the message is only half the battle. This MCP Server lets your OpenAI agent check actual delivery statuses by calling `get_delivery_reports` and `list_sms_logs`. The agent can analyze why a message bounced or confirm that an email landed in the user's inbox before continuing a multi-step workflow. If a critical SMS fails, the agent detects the failure via these logs and automatically falls back to `dispatch_html_email`. This logic executes entirely within your Python runtime, giving you complete control over multi-channel retry strategies.

Setup guide

Set up Infobip (Omnichannel Communications) 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 Infobip (Omnichannel Communications) tools at runtime.
3

Create your Agent

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

Run the agent

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

You pass the HTTP server parameters directly to the agent's constructor. The OpenAI Agents SDK auto-discovers all ten tools like `dispatch_sms_message` at startup, mapping them to OpenAI's schema without manual configuration.

Yes, you can control tool access at the SDK agent level. If you only want an agent to read data, expose `list_crm_people` and omit destructive tools like `delete_crm_person` from the agent's tool list.

Install the SDK, then initialize the server streamable HTTP class with your Vinkius endpoint. Pass that server instance inside the `mcp_servers` array when building your OpenAI agent.

It does. The underlying MCP Server routes requests directly to Infobip's global infrastructure, while the OpenAI framework manages the asynchronous execution of tools like `dispatch_whatsapp_message`.

All phone numbers, email addresses, and CRM profiles processed by `upsert_crm_person` remain inside Vinkius's secure sandbox. No customer data is stored on Vinkius servers, and all transit is encrypted using TLS.

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