How to Use the HelpCrunch MCP in OpenAI Agents SDK

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

Install openai-agents via pip. Initialize MCPServerStreamableHttp with your endpoint URL, then pass it to the mcpservers list in your Agent constructor. The SDK auto-discovers all 11 support tools immediately.

Q: How does the agent know which HelpCrunch department to assign in OpenAI Agents SDK?

The agent calls listdepartments to get the current routing options. It then maps the user's intent to the correct ID and fires updatechatassignee to hand the ticket over to a human team.

Deploy production-grade customer support agents with OpenAI Agents SDK and this MCP Server to manage HelpCrunch chats safely.

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Connect HelpCrunch MCP to OpenAI Agents SDK

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

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Route HelpCrunch chats via OpenAI Agents SDK

The `search_chats` and `get_chat_details` tools give your agent complete visibility into the support queue via this MCP Server. Your script pulls active conversations, reads the context, and decides if an automated response fits the criteria. After making a decision, the agent uses `update_chat_assignee` to route complex issues to human departments. You define the guardrails in your Python code so the agent never strands a customer in an unmonitored queue.

Automate tier-1 ticket resolution

The `send_message` tool lets your agent reply directly to users inside the chat widget. It reads the history via `list_chat_messages`, formulates an answer based on your knowledge base, and posts the reply instantly. You can also append metadata during the interaction. The agent triggers `add_customer_tag` to label the user profile with specific product areas, keeping your metrics clean without manual human data entry.

Audit and trace support workflows

The `update_chat_status` tool closes resolved tickets automatically. Since you run this through the OpenAI dashboard, every API call the MCP Server makes is fully traced and auditable for quality control. When your agent needs to verify user identity, it calls `get_customer_details` to check subscription tiers. Built-in safety constraints ensure the agent only handles tier-1 queries and hands off anything else.

Setup guide

Set up HelpCrunch 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 HelpCrunch tools at runtime.
3

Create your Agent

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

Run the agent

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

Install `openai-agents` via pip. Initialize `MCPServerStreamableHttp` with your endpoint URL, then pass it to the `mcp_servers` list in your Agent constructor. The SDK auto-discovers all 11 support tools immediately.

Yes. Your agent can evaluate the conversation and trigger the `update_chat_status` tool to mark the chat as closed. You can set constraints to prevent it from closing tickets with negative sentiment.

The agent calls `list_departments` to get the current routing options. It then maps the user's intent to the correct ID and fires `update_chat_assignee` to hand the ticket over to a human team.

Writing custom HTTP wrappers takes days of engineering time and maintenance. This integration provides 11 pre-configured tools that the OpenAI framework natively understands and traces out of the box.

The server processes raw text from customer chat transcripts and profile data. Vinkius runs this MCP Server in an ephemeral V8 Isolate Sandbox, meaning your API tokens and payload data vanish the millisecond the request finishes.

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