Can my agent create an internal note instead of replying to the customer in Groove?

Yes. When using the 'create_message' tool, you can specify that the message is an internal note. The agent will then post it privately within the ticket flawlessly, visible only to your team.

How do I update the status of a ticket to 'closed' via chat?

You can use the 'update_ticket_state' tool. Provide the Ticket Number and set the state parameter to 'closed'. Your agent will then organize your inbox by resolving the ticket programmatically flawlessy.

Can I list all support agents to check who is assigned to a ticket through the agent?

Absolutely. Use the 'list_agents' tool. Your agent will retrieve a full list of support staff, allowing you to audit assignments or identify the primary owner of any customer conversation natively.

Groove MCP Server for OpenAI Agents SDK 12 tools — connect in under 2 minutes

Name: Groove
Availability: InStock
Author: Vinkius

openai.github.io/openai-agents-python/mcp

Built by Vinkius GDPR 12 Tools SDK

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

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

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="Groove Assistant",
            instructions=(
                "You help users interact with Groove. "
                "You have access to 12 tools."
            ),
            mcp_servers=[mcp_server],
        )

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

asyncio.run(main())

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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 Groove MCP Server

Connect your Groove helpdesk account to any AI agent and take full control of your customer support operations through natural conversation.

The OpenAI Agents SDK auto-discovers all 12 tools from Groove through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Groove, another analyzes results, and a third generates reports, all orchestrated through Vinkius.

What you can do

Ticket Orchestration — List all support tickets and retrieve specific conversation summaries natively
Live Customer Reply — Draft and send replies or internal notes to specific tickets flawlessy
Status Management — Update ticket states including opened, pending, and closed to keep your inbox organized synchronously
Agent Oversight — List active support agents and retrieve individual productivity details natively
Customer Navigation — Search and retrieve customer profiles, including their full contact history flawlessly
Mailbox Coordination — List and inspect all configured mailboxes to manage multi-channel support synchronously

The Groove MCP Server exposes 12 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 Groove to OpenAI Agents SDK via MCP

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

Install the SDK

Run pip install openai-agents in your Python environment

Replace the token

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

Run the script

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

Explore tools

The agent will automatically discover 12 tools from Groove

Why Use OpenAI Agents SDK with the Groove MCP Server

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

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

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

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

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

Groove + OpenAI Agents SDK Use Cases

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

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

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

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

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

Groove MCP Tools for OpenAI Agents SDK (12)

These 12 tools become available when you connect Groove to OpenAI Agents SDK via MCP:

create_message

Add a reply or internal note to a ticket

create_ticket

Create a new helpdesk ticket

get_agent

Get details for a specific agent by email

get_customer

Get details for a specific customer by email

get_mailbox

Get details for a specific mailbox by ID

get_ticket

Get details for a specific ticket by its number

list_agents

List all agents in the Groove account

list_customers

List all customers in the Groove account

list_mailboxes

List all mailboxes in the account

list_messages

List all messages and comments in a ticket

list_tickets

List all helpdesk tickets

update_ticket_state

Change the status of a ticket

Example Prompts for Groove in OpenAI Agents SDK

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

"List my open tickets in Groove"

"Show the messages for ticket #405"

"Reply to ticket #402: 'Your refund has been issued and should appear in 3-5 days'"

Troubleshooting Groove MCP Server with OpenAI Agents SDK

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

MCPServerStreamableHttp not found

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

Agent not calling tools

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

Groove + OpenAI Agents SDK FAQ

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

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.