How to Use the Helpshift MCP in Mastra AI

Q: How do I integrate Helpshift with Mastra AI?

Install @mastra/mcp and declare the Helpshift MCP server in your client configuration. Mastra auto-detects the transport layer. You then spread mcpClient.listTools() into your agent's toolset.

Q: Can Mastra AI handle bulk Helpshift updates?

It handles them perfectly. Your workflow calls bulkuseraction to update profiles. You can configure automatic retries if the Helpshift API throttles the request.

Q: How do I require human approval for Helpshift ticket closures in Mastra AI?

Set requireToolApproval on the updateissuestatus tool. Mastra pauses the workflow and waits for a human to confirm before actually resolving the ticket.

Q: Does the server support conditional routing?

The server provides the raw data via getissuedetails. Mastra AI uses that data to run conditional branching, deciding whether to escalate or close the ticket.

Build resilient support workflows and automate ticket routing using Mastra AI.

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Connect Helpshift MCP to Mastra AI

Create your Vinkius account to connect Helpshift 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 Helpshift with Mastra AI

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Automated Ticket Triage

The `update_issue_status` tool changes ticket states automatically based on your Mastra AI logic. Support agents waste hours manually closing stale tickets. Your MCP Server connection handles the API layer. You can build a condition that checks for inactivity and resolves the issue without human input. Queue monitoring starts the process. Using `list_issues`, your agent pulls the current backlog. If the workflow detects a high volume of a specific bug, it branches the logic to tag and route those tickets differently.

Mastra AI Bulk Operations

Calling `bulk_user_action` executes profile changes across multiple users at once. You pass the actions array as a JSON string. Mastra AI thrives on these heavy, multi-step operations. If a step fails, the framework automatically retries. Long-running jobs need verification. The `get_bulk_task_status` tool checks if your mass update finished. Your workflow can pause, poll this endpoint, and only notify the admin when the entire batch completes successfully.

Audit Logging and Branching

The `get_issue_audit_logs` tool retrieves the exact action history for any specific ticket. Debugging escalated issues requires knowing who did what. Your agent grabs this log and feeds it into a decision branch to determine if a manager needs to step in. Communication happens next. Invoking `add_issue_message` drops a note into the ticket. You simply provide the JSON payload. Mastra AI ensures this only triggers after the audit log confirms the ticket requires a response.

Setup guide

Set up Helpshift 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 Helpshift 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: "helpshift-mcp-client",
  servers: {
    "helpshift-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

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

const result = await agent.generate(
  "List recent Helpshift 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 Helpshift. 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 Helpshift MCP in Mastra AI

Install `@mastra/mcp` and declare the Helpshift MCP server in your client configuration. Mastra auto-detects the transport layer. You then spread `mcpClient.listTools()` into your agent's toolset.

It handles them perfectly. Your workflow calls `bulk_user_action` to update profiles. You can configure automatic retries if the Helpshift API throttles the request.

Set `requireToolApproval` on the `update_issue_status` tool. Mastra pauses the workflow and waits for a human to confirm before actually resolving the ticket.

The server provides the raw data via `get_issue_details`. Mastra AI uses that data to run conditional branching, deciding whether to escalate or close the ticket.

Bulk user actions and audit logs contain sensitive PII. The Vinkius zero-trust architecture ensures this data never leaks into persistent storage. Your Mastra AI agent accesses an ephemeral V8 isolate that destroys itself after the workflow finishes.

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