Bring Customer Success
to OpenAI Agents SDK
Learn how to connect Zengain to OpenAI Agents SDK and start using 10 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
What is the Zengain MCP Server?
Connect your Zengain (Nalpeiron Growth Platform) account to any AI agent and simplify your customer success and usage analytics workflows through natural conversation.
What you can do
- Product Lifecycle — List all registered products and retrieve detailed configuration metadata
- User Engagement — Query product users, inspect their profiles, and calculate real-time health scores
- Usage Analytics — Get high-level analytics summaries and track custom events to monitor feature adoption
- KPM Tracking — Monitor Key Product Milestones to identify successful onboarding and churn risks
- System Monitoring — List configured webhooks to understand your integration data flow
How it works
1. Subscribe to this server
2. Enter your Zengain Tenant ID and API Key
3. Start managing your customer success resources from Claude, Cursor, or any MCP-compatible client
Built-in capabilities (10)
Get analytics summary
Get customer health score
Get details for a specific product
Get details for a specific user
List tracking events
List Key Product Milestones
List Zengain products
List product users
List configured webhooks
Track a custom event
Why OpenAI Agents SDK?
The OpenAI Agents SDK auto-discovers all 10 tools from Zengain through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Zengain, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
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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
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Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
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First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
Zengain in OpenAI Agents SDK
Zengain and 3,400+ other MCP servers. One platform. One governance layer.
Teams that connect Zengain to OpenAI Agents SDK through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.
Raw MCP | Vinkius | |
|---|---|---|
| Server catalog | Find and host yourself | 3,400+ managed |
| Infrastructure | Self-hosted | Sandboxed V8 isolates |
| Credential handling | Plaintext in config | Vault + runtime injection |
| Data loss prevention | None | Configurable DLP policies |
| Kill switch | None | Global instant shutdown |
| Financial circuit breakers | None | Per-server limits + alerts |
| Audit trail | None | Ed25519 signed logs |
| SIEM log streaming | None | Splunk, Datadog, Webhook |
| Honeytokens | None | Canary alerts on leak |
| Custom domains | Not applicable | DNS challenge verified |
| GDPR compliance | Manual effort | Automated purge + export |
Why teams choose Vinkius for Zengain in OpenAI Agents SDK
The Zengain 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. All 10 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in OpenAI Agents SDK only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.
* 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
How Vinkius secures
Zengain for OpenAI Agents SDK
Every tool call from OpenAI Agents SDK to the Zengain MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
Can I calculate a customer's health score using my AI agent?
Yes! Use the get_health_score tool by providing the User ID. The agent will retrieve the real-time engagement score from Zengain.
How do I see high-level usage summary for a specific product?
Use the get_analytics_summary tool. You can optionally provide a Product ID to filter the metrics for that specific offering.
Is it possible to track a new custom event through this integration?
Yes, use the track_event action. Provide the User ID and the Event Name to record engagement data programmatically.
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.
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.