How to Use the Gainsight PX MCP in Mastra AI

Q: How do I configure Gainsight PX in Mastra AI?

Initialize the MCPClient with your transport URL. Call listTools() and spread them into your Mastra Agent configuration.

Q: Can Mastra AI retry failed Gainsight PX tracking events?

Yes. If trackserverevent hits a network timeout, Mastra automatically retries based on your workflow settings.

Q: How secure is the data passed through this MCP Server?

You are querying raw user profiles via getmyidentity and listpxusers. The MCP protocol keeps this data within your local Mastra environment, never sending it to third-party LLM providers.

Automate complex user onboarding flows with Gainsight PX and Mastra AI.

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Connect Gainsight PX MCP to Mastra AI

Create your Vinkius account to connect Gainsight PX to Mastra AI 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 Mastra AI

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Build Resilient Tracking Workflows

Network requests fail. If you drop a login event because of a timeout, your analytics are useless. Mastra AI fixes this with built-in exponential backoff. When your MCP tool triggers `track_server_event`, Mastra wraps it in retry logic. It checks `verify_api_connection` first. If the API rate limits you, the framework waits and tries again automatically.

Sync Accounts with Mastra AI MCP Server

Keeping account records updated across systems usually requires messy cron jobs. You can build a direct workflow instead. Set up a conditional branch. The agent runs `list_px_accounts` to check if the company exists. If it finds nothing, it branches over to `identify_px_account` and creates the record.

Trigger Human-in-the-Loop Engagements

Sometimes you don't want an AI launching a survey to your entire enterprise user base automatically. You need approval. Configure Mastra to require tool approval for `list_px_engagements`. The agent queries `list_px_users` to build the target list, pauses the workflow, and waits for a human to click approve before continuing.

Setup guide

Set up Gainsight PX MCP in Mastra AI

Prerequisites

Node.js 18+ and a TypeScript project
@mastra/mcp + @mastra/core packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run npm install @mastra/mcp @mastra/core plus your preferred model provider (e.g. @ai-sdk/openai).
2

Configure the MCPClient
Create an MCPClient with your Vinkius endpoint as a URL object. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and inject tools
Call mcpClient.listTools() and spread the result into your agent's tools object. All Gainsight PX tools become native Mastra tools.
4

Run with any model
Swap openai("gpt-4o") for any AI SDK-compatible provider. Call agent.generate() and the agent routes tool calls through MCP automatically.

agent.ts

import { MCPClient } from "@mastra/mcp";
import { Agent } from "@mastra/core/agent";
import { openai } from "@ai-sdk/openai";

const mcpClient = new MCPClient({
  id: "gainsight-px-mcp-client",
  servers: {
    "gainsight-px-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

const agent = new Agent({
  name: "Gainsight PX Agent",
  model: openai("gpt-4o"),
  instructions: "You have access to Gainsight PX tools.",
  tools: {
    ...(await mcpClient.listTools()),
  },
});

const result = await agent.generate(
  "List recent Gainsight PX transactions"
);
console.log(result.text);

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Gainsight PX. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about Gainsight PX MCP in Mastra AI

Initialize the MCPClient with your transport URL. Call `listTools()` and spread them into your Mastra Agent configuration.

Yes. If `track_server_event` hits a network timeout, Mastra automatically retries based on your workflow settings.

Use conditional branching. Check limits, and if you get a warning, pause the workflow before calling `identify_px_user`.

Yes. Mastra auto-detects the transport type and connects seamlessly to the MCP endpoint.

You are querying raw user profiles via `get_my_identity` and `list_px_users`. The MCP protocol keeps this data within your local Mastra environment, never sending it to third-party LLM providers.

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