2,500+ MCP servers ready to use
Vinkius

HelpCrunch MCP Server for OpenAI Agents SDK 11 tools — connect in under 2 minutes

Built by Vinkius GDPR 11 Tools SDK

The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect HelpCrunch through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.

Vinkius supports streamable HTTP and SSE.

python
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MCPServerStreamableHttp(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as mcp_server:

        agent = Agent(
            name="HelpCrunch Assistant",
            instructions=(
                "You help users interact with HelpCrunch. "
                "You have access to 11 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from HelpCrunch"
        )
        print(result.final_output)

asyncio.run(main())
HelpCrunch
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About HelpCrunch MCP Server

Connect your HelpCrunch account to any AI agent and take full control of your customer communication and support workflows through natural conversation.

The OpenAI Agents SDK auto-discovers all 11 tools from HelpCrunch through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries HelpCrunch, another analyzes results, and a third generates reports, all orchestrated through Vinkius.

What you can do

  • Chat Oversight — List all active and past conversations, retrieve full transcripts, and monitor response times.
  • Customer Management — Access detailed customer profiles, add descriptive tags, and track user interaction history.
  • Team Coordination — Reassign chats to specific team members or departments to ensure the right person handles every query.
  • Proactive Support — Search through chats using complex filters to identify trends or urgent customer issues.
  • Workflow Automation — Update chat statuses (closed, open, snoozed) directly from the chat interface.
  • Operational Efficiency — List support departments and monitor the overall health of your customer service operations.

The HelpCrunch MCP Server exposes 11 tools through the Vinkius. Connect it to OpenAI Agents SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect HelpCrunch to OpenAI Agents SDK via MCP

Follow these steps to integrate the HelpCrunch MCP Server with OpenAI Agents SDK.

01

Install the SDK

Run pip install openai-agents in your Python environment

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

03

Run the script

Save the code above and run it: python agent.py

04

Explore tools

The agent will automatically discover 11 tools from HelpCrunch

Why Use OpenAI Agents SDK with the HelpCrunch MCP Server

OpenAI Agents SDK provides unique advantages when paired with HelpCrunch through the Model Context Protocol.

01

Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety

02

Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure

03

Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate

04

First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output

HelpCrunch + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the HelpCrunch MCP Server delivers measurable value.

01

Automated workflows: build agents that query HelpCrunch, process the data, and trigger follow-up actions autonomously

02

Multi-agent orchestration: create specialist agents. one queries HelpCrunch, another analyzes results, a third generates reports

03

Data enrichment pipelines: stream data through HelpCrunch tools and transform it with OpenAI models in a single async loop

04

Customer support bots: agents query HelpCrunch to resolve tickets, look up records, and update statuses without human intervention

HelpCrunch MCP Tools for OpenAI Agents SDK (11)

These 11 tools become available when you connect HelpCrunch to OpenAI Agents SDK via MCP:

01

add_customer_tag

Add a label/tag to a customer profile

02

get_chat_details

Get detailed information about a specific chat

03

get_customer_details

Get detailed profile information for a specific customer

04

list_chat_messages

Useful for understanding context or historical interactions. List all messages within a specific chat

05

list_chats

Each chat includes basic metadata and status. List all conversations (chats) in HelpCrunch

06

list_customers

List all customers (contacts) in HelpCrunch

07

list_departments

List all support departments

08

search_chats

Pass filter criteria as a JSON string in "filter_json" (e.g., {"status": "open"}). Search for chats using filters

09

send_message

Pass the payload as a JSON string in "body_json" (e.g., {"chat": 123, "text": "Hello"}). Send a message to a chat

10

update_chat_assignee

Assign a chat to a specific team member

11

update_chat_status

Update the status of a chat (e.g., closed, open)

Example Prompts for HelpCrunch in OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with HelpCrunch immediately.

01

"List all open chats and show the last message for each."

02

"Search for all chats from the customer with email 'john.doe@example.com'."

03

"Tag customer ID 5592 with 'VIP' and 'Priority Support'."

Troubleshooting HelpCrunch MCP Server with OpenAI Agents SDK

Common issues when connecting HelpCrunch to OpenAI Agents SDK through the Vinkius, and how to resolve them.

01

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents
02

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

HelpCrunch + OpenAI Agents SDK FAQ

Common questions about integrating HelpCrunch MCP Server with OpenAI Agents SDK.

01

How does the OpenAI Agents SDK connect to MCP?

Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.
02

Can I use multiple MCP servers in one agent?

Yes. Pass a list of MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.
03

Does the SDK support streaming responses?

Yes. The SDK supports SSE and Streamable HTTP transports, both of which work natively with Vinkius.

Connect HelpCrunch to OpenAI Agents SDK

Get your token, paste the configuration, and start using 11 tools in under 2 minutes. No API key management needed.