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Groove MCP. Manage tickets and customer data without leaving your chat client.

Claude Claude
ChatGPT ChatGPT
Cursor Cursor
Gemini Gemini
Windsurf Windsurf
VS Code VS Code
JetBrains JetBrains
Vercel Vercel
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Works with every AI agent you already use

…and any MCP-compatible client

Groove MCP on Cursor AI Code Editor MCP Client Groove MCP on Claude Desktop App MCP Integration Groove MCP on OpenAI Agents SDK MCP Compatible Groove MCP on Visual Studio Code MCP Extension Client Groove MCP on GitHub Copilot AI Agent MCP Integration Groove MCP on Google Gemini AI MCP Integration Groove MCP on Lovable AI Development MCP Client Groove MCP on Mistral AI Agents MCP Compatible Groove MCP on Amazon AWS Bedrock MCP Support

Just plug in your AI agents and start using Vinkius.

Groove MCP Server manages your customer support operations. List tickets, update status, and manage conversations directly through your AI client.

Use `get_customer` to pull history, `create_message` to reply, and `update_ticket_state` to keep your inbox organized.

What your AI agents can do

Create message

Adds a public reply or a private internal note to an existing support ticket.

Create ticket

Initiates a new support ticket in the helpdesk system.

Get agent

Retrieves detailed information for a specific agent using their email address.

+ 9 more capabilities included
Track ticket status and history

List all open tickets and retrieve detailed summaries of specific conversations.

Reply and annotate tickets

Draft and send both public replies to customers and private internal notes on a ticket.

Change ticket status

Update a ticket's state—mark it opened, pending, or closed—to accurately reflect its current status.

Find customer context

Retrieve a customer's full profile, including their complete contact history, using their email.

Audit agent performance

List all support agents and pull specific productivity metrics for individual team members.

Manage support channels

List and inspect all configured mailboxes to coordinate support across different channels.

Supported MCP Clients

Claude Claude
ChatGPT ChatGPT
Cursor Cursor
Gemini Gemini
Windsurf Windsurf
VS Code VS Code
JetBrains JetBrains
Vercel Vercel
+ other MCP clients
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AI Agent

Groove MCP Server: 12 Tools for Support Operations

Use these tools to manage ticket lifecycles, pull customer context, and audit agent activity directly through your AI client.

create019d75ab

create message

Adds a public reply or a private internal note to an existing support ticket.

create019d75ab

create ticket

Initiates a new support ticket in the helpdesk system.

get019d75ab

get agent

Retrieves detailed information for a specific agent using their email address.

get019d75ab

get customer

Retrieves all details for a customer, including their full contact history, using their email.

get019d75ab

get mailbox

Gets details for a specific support mailbox using its unique ID.

get019d75ab

get ticket

Retrieves all details for a single ticket using its unique ticket number.

list019d75ab

list agents

Lists every active agent currently set up in the Groove account.

list019d75ab

list customers

Lists all customer records within the Groove account.

list019d75ab

list mailboxes

Lists every configured mailbox used for receiving support tickets.

list019d75ab

list messages

Lists all messages and comments associated with a specific ticket.

list019d75ab

list tickets

Retrieves a comprehensive list of all support tickets in the account.

update019d75ab

update ticket state

Changes the status of a ticket, such as marking it as open, pending, or closed.

Choose How to Get Started

Build a custom MCP for your own tools, or connect a ready-made integration from our catalog.

Build Your Own

Turn any API into an MCP. Import a spec, define Agent Skills, or deploy with MCPFusion.

  • Import from OpenAPI, Swagger, or YAML specs
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  • Built in DLP, auth, and compliance on every call
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  • Publish to catalog or keep private
Start building

Make Your AI Do More

Start with Groove, then connect any of our 4,700+ other servers whenever your AI needs more. One click, no limits.

  • Use this MCP plus 4,700+ others, all in one place
  • Add new capabilities to your AI anytime you want
  • Every connection is secured and compliant automatically
  • Track usage and costs across all your servers
  • Works with Claude, ChatGPT, Cursor, and more
  • New servers added to the catalog every week

What you can do with this MCP connector

Groove MCP Server lets your AI client manage your whole customer support operation. You'll list all support tickets and pull detailed summaries of specific conversations. You can also create a new ticket in the helpdesk system. To reply to a ticket, use create_message to send a public reply to the customer or a private internal note.

You'll use update_ticket_state to change a ticket's status—mark it open, pending, or closed—keeping your inbox organized. When you need customer background, run get_customer with an email to pull all their details and complete contact history. To track what's going on with a specific ticket, run get_ticket for all details using its ticket number, or run list_messages to see every message and comment attached to that ticket.

You can list all active agents with list_agents and pull specific productivity metrics for any team member using get_agent and their email. You'll list every configured support mailbox with list_mailboxes to coordinate support across different channels. You can also list all existing customer records with list_customers or pull a comprehensive list of every support ticket in the account using list_tickets.

How Groove MCP Works

  1. 1 Subscribe to the Groove MCP Server and provide your API Access Token.
  2. 2 Your AI client connects to the server, which authenticates your account with Groove.
  3. 3 You issue a natural language command (e.g., 'List my open tickets'), and the server executes the corresponding tool call, returning the structured data.

The bottom line is that you control your helpdesk system entirely through chat commands, without needing to open the main Groove dashboard.

Who Is Groove MCP For?

Support Leads, Customer Success Managers, and Small Business Owners. This is for anyone who spends too much time clicking through dashboards just to get a summary or send a quick reply. If your job involves coordinating responses across multiple channels or auditing agent work, this saves you from the dashboard click-fest.

Support Lead

Needs to quickly summarize long ticket threads and audit agent responses using natural language queries.

Customer Success Manager

Monitors high-priority tickets and updates customer details directly from the chat interface without leaving their current window.

Small Business Owner

Manages customer inquiries and closes resolved tickets without having to log into and navigate the main helpdesk dashboard.

What Changes When You Connect

  • Audit Agent Work: Use list_agents and get_agent to list all team members and pull specific productivity data. This gives you immediate oversight into agent performance.
  • Know the Customer: Never guess who you're talking to. get_customer pulls the full profile and contact history for any customer by email, instantly providing context.
  • Control the Workflow: Need to change a ticket's status? update_ticket_state lets you mark tickets as opened, pending, or closed directly through natural conversation.
  • Keep the Conversation Going: Use create_message to send replies or private notes. You don't have to switch tabs to write a follow-up or an internal comment.
  • Coordinate Support: list_mailboxes lets you check all configured support inboxes, ensuring you cover all channels when managing multi-channel support.
  • Process New Issues: If a customer comes in without a ticket, use create_ticket to generate a new record immediately.

Real-World Use Cases

01

Resuming a high-priority, old ticket

A CSM gets a message about an old billing issue. Instead of navigating to the dashboard, they ask the agent to run get_customer by email, pull the history, and then use get_ticket to fetch the specific ticket details. They can then use create_message to draft the resolution and update_ticket_state to close it, all in one chat session.

02

Auditing a team's response quality

A Support Lead needs to check if agents followed protocol. They ask the agent to run list_agents and then get_agent for specific team members. They can then use list_messages on specific tickets to audit who wrote what and when, without logging into the internal reporting tool.

03

Handling a cross-channel inquiry

A small business owner gets a message that looks like a ticket but isn't. They ask the agent to run create_ticket right away. They then use list_mailboxes to ensure the correct channel is associated with the new ticket, centralizing the issue from the start.

04

Pulling context for a new conversation

The agent needs to reply to a customer, but the customer's email was misspelled. They first run get_customer with the available info to verify the correct profile. Once confirmed, they use get_ticket and create_message to reply accurately.

The Tradeoffs

Manually checking every ticket status

The agent opens the Groove dashboard, clicks 'Tickets,' filters by 'Pending,' and then has to manually check the status of 50 different tickets to see which ones need follow-up.

Just ask the agent to run list_tickets. You get a summary list of all tickets immediately. Then, ask the agent to run list_messages on any specific ticket to see the full conversation history.

Writing replies in a silo

The agent drafts a critical internal note in a separate Slack thread and then forgets to copy it into the actual ticket, creating an incomplete record.

Use the create_message tool. This sends the message directly to the ticket record, ensuring the communication is tied to the official record.

Forgetting customer history context

The agent replies to a customer based only on the current email, forgetting that the customer has opened 15 tickets last month for the same issue.

Before replying, run get_customer using the customer's email. This instantly provides the full contact history, ensuring the reply is comprehensive and informed.

When It Fits, When It Doesn't

Use this server if your core job involves reacting to, tracking, or updating records in a helpdesk system. You need to be able to list tickets, pull customer history, and update states without leaving your primary chat tool. Don't use it if you just need to view a single, static report (use a dedicated BI tool instead). If your primary need is pure messaging (e.g., sending an email outside of a ticket), use a general email API. When you need to combine customer identity with ticket status, run get_customer first, then get_ticket. Always prioritize treating the interaction as a structured ticket process.

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Groove. 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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Works with Claude, ChatGPT, Cursor, and more

The Model Context Protocol standardizes how applications expose capabilities to LLMs. Instead of operating in isolation, your AI gains direct access to external platforms, live data, and real-world actions through secure, standardized connections.

This server provides 12 capabilities that interface natively with Claude, ChatGPT, Cursor, and any MCP client. No middleware. No custom integration required.

Available Capabilities

create_message create_ticket get_agent get_customer get_mailbox get_ticket list_agents list_customers list_mailboxes list_messages list_tickets update_ticket_state

Getting a full picture of a customer's issue shouldn't require 10 clicks.

Today, figuring out the full scope of a customer complaint means jumping between tabs: opening the main ticket dashboard, searching for the customer by name, clicking into their profile to see old tickets, and then copying the relevant details into your current communication thread. It's a painful, multi-step process that takes time and introduces human error.

With the Groove MCP Server, you tell your AI client what you need—like 'Show me the billing history for customer X.' The agent executes `get_customer` and `get_ticket` in the background. You get the full context summary right in the chat. No dashboard navigation required.

Groove MCP Server: Manage tickets and customer data.

Manual ticket management means manually changing states, sending follow-up emails, and updating notes across different systems. You're juggling the main dashboard, the email client, and the internal wiki.

The Groove MCP Server centralizes this. You use `update_ticket_state` and `create_message` to manage the entire lifecycle of an issue—from initial contact to final closure—all from a single, chat-based interface. It's a total workflow shift.

Common Questions About Groove MCP

How do I use the `list_tickets` tool to find open tickets in Groove? +

The list_tickets tool retrieves a summary of all tickets. If you want only open ones, you must specify that filter in your natural language prompt. You can then follow up with list_messages on a specific ticket number to read the latest conversation.

Can I use `get_customer` to find a customer's last contact history? +

Yes. The get_customer tool pulls the complete contact history for a given email. This is essential context before you use create_message to reply, ensuring you address all past issues.

What is the difference between `create_message` and `create_ticket`? +

create_ticket starts the process by generating a new record. create_message adds content to an existing ticket. You must run create_ticket first if the issue doesn't have a record yet.

How do I mark a ticket as closed using `update_ticket_state`? +

You must provide the ticket number and the target status (e.g., 'closed'). The update_ticket_state tool changes the status, and you'll get confirmation that the record was successfully updated.

How do I list all available agents in my account using the `list_agents` tool? +

The list_agents tool retrieves a list of all agents configured in your Groove account. This lets you see who's active and get basic details on every user.

What is the difference between `get_ticket` and `list_tickets`? +

Use list_tickets to get a summary of multiple tickets, while get_ticket pulls all specific details for one ticket by its number. It's for bulk viewing versus deep dives.

Can I use `list_messages` to see the full history of a ticket? +

Yes, list_messages pulls every message and internal comment associated with a specific ticket. You'll get the complete conversation thread, including customer replies and agent notes.

How do I get a customer's full contact history using `get_customer`? +

The get_customer tool provides a full profile, including all past contact interactions and historical data for that customer. You'll see everything they've talked about with you.

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.

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Claude Claude
ChatGPT ChatGPT
Cursor Cursor
Gemini Gemini
Windsurf Windsurf
VS Code VS Code
JetBrains JetBrains
Vercel Vercel
+ other MCP clients

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