Can I check the health score of a company via AI?

Yes! Use the `get_company_details` tool and provide the Company ID. Your agent will retrieve the current health score, risk status, and account metadata.

How do I track a custom user event using the agent?

Use the `track_user_event` action. Provide the User ID and the Event Name. You can also pass a JSON object with additional attributes for the action.

Is it possible to see my defined customer segments via AI?

Absolutely. Use the `list_user_segments` query. The agent will retrieve the complete list of segments configured in your Custify account.

INSTANT PLUG AND PLAY

Custify MCP Server for OpenAI Agents SDKGive OpenAI Agents SDK instant access to 8 tools to Create Person, Get Company Details, Get Person Details, and more

Name: Custify
Availability: InStock
Author: Vinkius

Built by Vinkius GDPR 8 Tools SDK

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

Use with Your AI Agent

Ask AI about this App Connector for OpenAI Agents SDK

Open in ChatGPT Open in Claude Open in Perplexity

The Custify app connector for OpenAI Agents SDK is a standout in the Productivity category — giving your AI agent 8 tools to work with, ready to go from day one.

Vinkius delivers Streamable HTTP and SSE to any MCP client

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="Custify Assistant",
            instructions=(
                "You help users interact with Custify. "
                "You have access to 8 tools."
            ),
            mcp_servers=[mcp_server],
        )

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

asyncio.run(main())

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

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 Custify MCP Server

Connect your Custify customer success account to any AI agent and simplify how you manage your product users, track account health, and monitor churn risk through natural conversation.

The OpenAI Agents SDK auto-discovers all 8 tools from Custify through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Custify, another analyzes results, and a third generates reports, all orchestrated through Vinkius.

What you can do

User & Company Oversight — List all managed people and organizations and retrieve detailed metadata and health scores.
Health Monitoring — Query health score metrics and values to identify at-risk customers and churn signals instantly.
Event Tracking — Record custom user actions and events programmatically to feed your success analytics.
Segment Analysis — List and query defined customer segments to understand your user distribution.
CRM Control — Create new person records and update profile data directly via AI commands.
Engagement Insights — Fetch engagement history and metadata for individual accounts directly from the agent.

The Custify MCP Server exposes 8 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.

All 8 Custify tools available for OpenAI Agents SDK

When OpenAI Agents SDK connects to Custify through Vinkius, your AI agent gets direct access to every tool listed below — spanning customer-success, health-score, churn-prevention, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.

create_person

Create a new person record

get_company_details

Get details for a specific company

get_person_details

Get details for a specific person

list_companies

List customer companies

list_health_scores

List customer health scores

list_people

List product users (people)

list_user_segments

List user segments

track_user_event

Track a custom event

Connect Custify to OpenAI Agents SDK via MCP

Follow these steps to wire Custify into OpenAI Agents SDK. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.

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 8 tools from Custify

Why Use OpenAI Agents SDK with the Custify MCP Server

OpenAI Agents SDK provides unique advantages when paired with Custify 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

Custify + OpenAI Agents SDK Use Cases

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

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

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

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

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

Example Prompts for Custify in OpenAI Agents SDK

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

"List all active companies in my Custify account."

"Show me the details and health for person 'john.doe@example.com'."

"Track a 'Button Clicked' event for user 'user_88231'."

Troubleshooting Custify MCP Server with OpenAI Agents SDK

Common issues when connecting Custify 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.

Custify + OpenAI Agents SDK FAQ

Common questions about integrating Custify 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.

Can I use multiple MCP servers in one agent?

Yes. Pass a list of MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.

Does the SDK support streaming responses?

Yes. The SDK supports SSE and Streamable HTTP transports, both of which work natively with Vinkius.