How to Use the Gainsight PX MCP in OpenAI Agents SDK

Q: How do I connect Gainsight PX to the OpenAI Agents SDK?

Install openai-agents and initialize MCPServerStreamableHttp pointing to the Vinkius MCP Server endpoint. Pass the server instance directly into the Agent constructor to let your agent auto-discover all 12 tools.

Feed user telemetry directly to Gainsight PX with guardrails using the OpenAI Agents SDK.

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Connect Gainsight PX MCP to OpenAI Agents SDK

Create your Vinkius account to connect Gainsight PX 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 Gainsight PX with OpenAI Agents SDK

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Sync user profiles and track custom events

`identify_px_user` writes user profiles directly into your analytics database during session initialization. Your agent runs this tool when a user logs in, instantly updating their traits in Gainsight PX. You also use `track_server_event` to record backend actions that client-side scripts miss. The OpenAI Agents SDK executes this tool with built-in schema checks, ensuring your telemetry matches your event taxonomy before it goes live.

Audit your product features and active guides

`list_product_features` displays the entire tracked element tree directly to your agent. This lets your agent map user actions to specific product modules without hardcoded IDs. To check what the user sees, the agent calls `list_px_engagements` to fetch active in-app guides and surveys. This MCP Server integration prevents your agent from recommending steps that an active onboarding guide is already explaining.

Pull account metadata for enterprise routing

`get_account_details` extracts subscription tiers and company sizes directly from Gainsight PX. Your routing agent uses this data to prioritize high-value support tickets. The agent pairs this with `identify_px_account` to sync firmographic updates during billing cycles. This MCP tool keeps account records uniform across your customer success stack without manual CSV uploads.

Setup guide

Set up Gainsight PX 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 Gainsight PX tools at runtime.
3

Create your Agent

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

Run the agent

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

Install `openai-agents` and initialize `MCPServerStreamableHttp` pointing to the Vinkius MCP Server endpoint. Pass the server instance directly into the `Agent` constructor to let your agent auto-discover all 12 tools.

Yes, you configure guardrails inside the agent definition to restrict tools like `track_server_event`. This prevents autonomous agents from firing duplicate event payloads during high-traffic sessions.

The server responds to connection checks in under 80 milliseconds. For high-frequency calls like tracking events, you should queue payloads asynchronously in your Python app to avoid blocking the agent's main execution loop.

When the retrieval tool returns a 404 error, the agent catches the exception and can immediately trigger a creation tool to generate the profile. This self-healing loop keeps your analytics database populated in real time.

This MCP Server processes user IDs, email addresses, and server-side events inside ephemeral V8 isolates. No data is cached on disk, and all API calls require a single, secure Vinkius endpoint token for transport.

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