How to Use the Custify MCP in OpenAI Agents SDK

Q: Can the OpenAI Agents SDK read Custify health scores?

Yes. The framework auto-discovers the listhealthscores tool during initialization. You can set strict guardrails to dictate how the agent acts on those metrics.

Q: Does Custify work with OpenAI Agents SDK handoffs?

It works perfectly. One agent pulls listcompanies and instantly transfers that context to a specialized retention agent for further processing.

Connect Custify to the OpenAI Agents SDK to track health scores and trigger customer success playbooks automatically.

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Connect Custify MCP to OpenAI Agents SDK

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

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Route Custify Alerts in OpenAI Agents

The `list_health_scores` tool pulls churn risk metrics directly into your OpenAI Agents SDK pipeline. You set the guardrails, and the agent decides whether a drop in health requires immediate human intervention or an automated check-in. Handoffs happen natively within the framework. If a critical account flags red, the primary agent transfers the context to a specialized retention agent, pulling the exact `get_company_details` before drafting an outreach plan.

Monitor Product Usage at Scale

Tracking user behavior requires precise data points. The `track_user_event` function logs specific actions your users take, feeding that telemetry straight into your deployed agent system. Your agent evaluates these events against established baseline metrics. When adoption stalls, it queries `list_user_segments` to group at-risk cohorts and executes targeted engagement strategies without manual oversight.

Sync Your MCP Server Profiles

Managing contact records manually kills productivity. Calling `create_person` adds new users to your customer success database the moment they sign up, keeping your tracking systems perfectly aligned. Context stays fresh across your entire architecture. The agent runs `get_person_details` prior to any automated interaction, ensuring the LLM has accurate, up-to-date lifecycle status before generating a response.

Setup guide

Set up Custify 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 Custify tools at runtime.
3

Create your Agent

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

Run the agent

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

Install openai-agents via pip. Pass the Vinkius endpoint using MCPServerStreamableHttp directly into your Agent constructor.

Yes. The framework auto-discovers the list_health_scores tool during initialization. You can set strict guardrails to dictate how the agent acts on those metrics.

It works perfectly. One agent pulls list_companies and instantly transfers that context to a specialized retention agent for further processing.

Setting cacheToolsList=True prevents the agent from re-fetching the tool definitions on every single run. This cuts latency and speeds up your production deployments.

Vinkius runs the integration inside an ephemeral V8 Isolate Sandbox. Your user segments, health scores, and company details pass through a zero-trust architecture and disappear the moment the session ends.

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