How to Use the Helpshift MCP in OpenAI Agents SDK

Q: How do I connect the Helpshift MCP server to the OpenAI Agents SDK?

Install the package with pip install openai-agents. Set up MCPServerStreamableHttp with your endpoint URL, then pass it to the mcpservers array in your Agent constructor.

Q: Can the OpenAI Agents SDK route Helpshift tickets to different specialized agents?

Yes. You can have a triage agent run listissues to categorize tickets, then hand off the updateissuestatus execution to a specialized billing or technical support agent.

Q: How do I speed up tool discovery for the Helpshift integration?

Set cacheToolsList=True in your setup. This stops the agent from refetching the schemas for all 11 Helpshift tools on every single turn.

Connect Helpshift to the OpenAI Agents SDK to automate ticket triage with built-in guardrails.

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Connect Helpshift MCP to OpenAI Agents SDK

Create your Vinkius account to connect Helpshift 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 Helpshift with OpenAI Agents SDK

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Perplexity

Triage Helpshift queues with OpenAI Agents SDK

The `list_issues` tool pulls your live support queue straight into your agent's context. Your OpenAI agent reads the backlog, categorizes incoming requests, and decides what needs immediate attention without manual sorting. Once the agent figures out the problem, it uses `update_issue_status` to close out routine tickets or escalate the hard ones. You can also trigger `create_issue` to spin up new internal tracking tickets when users report bugs.

Draft safe replies using full ticket history

Grab the full conversation using the `get_issue_details` tool before your agent drafts a response. The agent can also check `get_issue_audit_logs` to see exactly which human or bot touched the ticket last. When it's time to reply, the agent fires off `add_issue_message` with a JSON payload. OpenAI's built-in guardrails ensure the agent doesn't send out unapproved or hallucinated responses to angry customers.

Handle mass updates via this MCP Server

Support spikes happen. The `bulk_user_action` tool lets your agent apply tags or wipe data across thousands of user profiles at once. You track the progress of these heavy jobs with `get_bulk_task_status`. To deflect common questions, the agent queries `list_faqs` and `list_faq_sections`. It pulls your published help center articles into the prompt and serves the exact steps to the user.

Setup guide

Set up Helpshift 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 Helpshift tools at runtime.
3

Create your Agent

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

Run the agent

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

Install the package with `pip install openai-agents`. Set up `MCPServerStreamableHttp` with your endpoint URL, then pass it to the `mcp_servers` array in your Agent constructor.

Yes. You can have a triage agent run `list_issues` to categorize tickets, then hand off the `update_issue_status` execution to a specialized billing or technical support agent.

Set `cacheToolsList=True` in your setup. This stops the agent from refetching the schemas for all 11 Helpshift tools on every single turn.

You get full tracing via the OpenAI dashboard. Every time your agent calls `add_issue_message` or changes a status, the execution and the exact JSON payload are logged for review.

Your agent only accesses the user profiles, chat logs, and FAQ articles explicitly fetched by the tools. The Vinkius V8 Isolate Sandbox runs ephemerally, meaning your support data is processed in memory and immediately destroyed after the response.

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