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Avochato MCP. Manage all customer comms—from contact records to support tickets.

Claude Claude
ChatGPT ChatGPT
Cursor Cursor
Gemini Gemini
Windsurf Windsurf
VS Code VS Code
JetBrains JetBrains
Vercel Vercel
See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

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

Just plug in your AI agents and start using Vinkius.

Avochato. Connect your business communication stack to your AI agent. Use two-way messaging to send SMS/MMS and manage customer interactions on preferred channels.

This server gives your agent the ability to read, write, and update records—from contacts to support tickets—all without leaving your workflow.

What your AI agents can do

Create contact

Adds a new contact record to the system.

Create webhook

Sets up a new real-time webhook endpoint for data updates.

Delete webhook

Removes an active webhook endpoint.

+ 9 more capabilities included
Send and track customer messages

Send SMS or MMS messages directly to a contact using the send_message tool, and list past messages with list_messages.

Manage and retrieve contact data

List all contacts (list_contacts), get details for a specific person (get_contact), or update their profile information (update_contact).

Orchestrate support ticket workflows

List existing tickets (list_tickets), and change a ticket's status or ownership using update_ticket.

Maintain system connections

Create, read, or delete webhooks (create_webhook, delete_webhook) to set up real-time data feeds for your agent.

Audit account activity

Check your account identity (get_account_info) or list all active webhooks (list_webhooks) to verify system status.

Handle contact lifecycle

Create a new contact record (create_contact) or modify existing contact information (update_contact).

Supported MCP Clients

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

Waiting for input…

AI Agent

create019dd0bf

create contact

Adds a new contact record to the system.

create019dd0bf

create webhook

Sets up a new real-time webhook endpoint for data updates.

delete019dd0bf

delete webhook

Removes an active webhook endpoint.

get019dd0bf

get account info

Retrieves the current account identity and metadata.

get019dd0bf

get contact

Fetches the detailed profile and history for a single contact.

list019dd0bf

list contacts

Retrieves a paginated list of all contacts in the system.

list019dd0bf

list messages

Lists past SMS and MMS messages associated with the account.

list019dd0bf

list tickets

Retrieves a list of active support tickets and their current status.

list019dd0bf

list webhooks

Shows all webhooks currently configured on the account.

send019dd0bf

send message

Dispatches a new SMS or MMS message to a specified contact.

update019dd0bf

update contact

Changes specific data points on an existing contact record.

update019dd0bf

update ticket

Modifies the status or ownership of an existing support ticket.

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
  • Create Agent Skills with progressive disclosure
  • Deploy to edge with MCPFusion framework
  • Built in DLP, auth, and compliance on every call
  • Real time usage dashboard and cost metering
  • Publish to catalog or keep private
Start building

Make Your AI Do More

Start with Avochato, 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

Yo, you connect your Avochato account to your AI agent and let it run your whole business comms stack. Your agent can handle everything—from shooting out personalized texts to managing complex customer ticket queues—without you ever leaving your workflow. You've got the power to read, write, and update records, covering everything from contacts to support tickets.

Messaging & Tracking

Your agent can fire off new SMS or MMS messages to a specific contact using send_message, and it can also list all past messages associated with the account using list_messages. You can check out all the messages that went out by using list_messages.

Contact Management

You can grab a list of every contact in the system with list_contacts, pull up a detailed profile and history for one specific person with get_contact, and you can change specific data points on an existing contact record with update_contact. Need a new contact? Use create_contact to add one to the system.

You can also modify existing contact info using update_contact.

Support Tickets

When you've got support tickets, your agent can list all active tickets and their current status using list_tickets, and it can change a ticket's status or ownership using update_ticket.

System Connections & Auditing

Your agent manages real-time data feeds by creating, reading, or deleting webhooks; use create_webhook to set up a new endpoint, delete_webhook to remove an active one, and list_webhooks to see all webhooks currently configured. You can also check your account's identity and metadata using get_account_info, or view all active webhooks with list_webhooks.

How Avochato MCP Works

  1. 1 Subscribe to the Avochato server. Then, grab your Auth ID and Auth Secret from your Avochato API Access settings.
  2. 2 Connect your AI client (Claude, Cursor, etc.) to the MCP server using these credentials.
  3. 3 Use natural language commands to trigger actions—for example, asking the agent to 'Send a reminder SMS to John Doe' or 'Update ticket 456 to closed'.

The bottom line is your AI agent handles all the API calls and data formatting for you. You just tell it the business goal.

Who Is Avochato MCP For?

This is for the Ops Engineer who's tired of clicking through dashboards and manually updating records. It’s for Support Agents who manage high-volume ticket queues and need instant status changes. Marketing Managers who need to orchestrate SMS campaigns without leaving their chat interface. Basically, anyone whose job involves moving data or sending messages across multiple systems.

Support Agent

Uses the server to list tickets and update statuses (e.g., update_ticket) directly from the chat, keeping the customer conversation thread active.

Sales Representative

Uses the server to send personalized follow-up SMS messages (e.g., send_message) or update contact records (update_contact) after a call.

Marketing Manager

Uses the server to send scheduled SMS broadcasts or list audience contacts (list_contacts) based on campaign segments.

What Changes When You Connect

  • Stop manually logging messages. Your agent uses list_messages and list_tickets to give you immediate visibility into every conversation, whether it's a sales lead or a support issue.
  • Update customer records without leaving your chat. Use update_contact to change a phone number or address, or create_contact to add a brand new lead, all through simple natural language prompts.
  • Orchestrate multi-step outreach. Send a message (send_message) and then immediately update the corresponding ticket status (update_ticket)—all in one prompt.
  • Control your data connections. Use create_webhook to set up real-time alerts, and list_webhooks to confirm your data streams are active.
  • Keep the whole picture clear. The agent can gather data using get_contact and list_contacts before drafting a message, ensuring the tone and content are personalized.
  • Handle high-volume support. Instead of opening the dashboard, ask the agent to list_tickets and then update_ticket the status for multiple users at once.

Real-World Use Cases

01

Updating a lead's details after a call

A sales rep finishes a call and needs to update the client's records. They ask the agent: 'Update contact for John Smith with the new email and phone number.' The agent runs update_contact, ensuring the next follow-up message is sent to the correct details.

02

Addressing a complex support ticket

A support agent sees a high-priority ticket. They ask the agent to 'List tickets and update ticket 9001 status to pending investigation.' The agent runs list_tickets and then update_ticket, keeping the workflow accurate and visible.

03

Broadcasting a product update

The marketing team needs to send an alert to 50 users. They prompt the agent: 'Send an SMS about the new feature to all contacts in the 'Beta Users' list.' The agent uses list_contacts to pull the list and then executes multiple send_message calls.

04

Onboarding a new client channel

The ops engineer needs to connect a new data source. They ask the agent to 'Set up a webhook for new messages.' The agent runs create_webhook, providing the necessary endpoint, and then confirms the setup with list_webhooks.

The Tradeoffs

Copying and pasting contact IDs

Manually checking the dashboard, copying 12 different user IDs, and then running 12 separate commands to get their details. This takes minutes and fails if one ID is wrong.

Just ask the agent to 'List the top 10 contacts for me.' The agent runs list_contacts and passes the resulting list of IDs to get_contact for bulk data retrieval.

Forgetting to update the ticket status

The agent resolves a customer issue, but forgets to change the status in the system. The ticket remains 'open', leading to customer confusion and inaccurate reporting.

After resolving the issue, tell the agent: 'Update ticket 789 to closed and assign it to the archive team.' The agent uses update_ticket immediately, closing the loop.

Handling bulk messages manually

Trying to send 50 individual messages by doing 50 separate API calls. This is slow, hits rate limits, and is a nightmare to track.

Use a single prompt: 'Send the announcement SMS to all contacts.' The agent executes the required list_contacts and subsequent send_message calls automatically.

When It Fits, When It Doesn't

Use this server if your workflow requires coordination across messaging, contacts, and support tickets. You need a single point of interaction—a single agent—to manage the data lifecycle. For example, if a customer sends a message, you need the agent to read the message (list_messages), check the contact's history (get_contact), and then update the ticket status (update_ticket)—this server handles that chain. Don't use this if you only need to manage one system, like just sending SMS messages without updating any records. If you only need pure messaging, a dedicated messaging-only tool will suffice. You'll still need to manually handle the contact list sync and ticket state transitions outside of this system.

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Avochato. 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.

VINKIUS INFRASTRUCTURE

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Sandboxed per request

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Policy on every call

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How we secure it →

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_contact create_webhook delete_webhook get_account_info get_contact list_contacts list_messages list_tickets list_webhooks send_message update_contact update_ticket

Tired of bouncing between CRMs, ticketing systems, and SMS dashboards?

Today, handling a customer inquiry means opening the CRM to check contact history. Then, you jump to the ticketing system to see the open issue. Finally, you switch to the SMS dashboard to send the follow-up message. You're copying IDs, switching tabs, and praying you don't miss a critical status change.

With the Avochato MCP Server, you tell your agent the entire goal: 'Follow up with Jane Doe about her order.' The agent runs the tools, pulling contact data, sending the message, and updating the ticket—all in one flow. You just get the confirmation, not the clicking.

Avochato MCP Server: Complete Customer Communications

Manual steps like retrieving a contact's history (`get_contact`), sending a follow-up SMS (`send_message`), and logging the interaction (`list_messages`) used to require three separate logins and manual data merging. It was a painful, slow process.

Now, the agent coordinates all three. It reads the necessary data, executes the message, and logs the state change. It's a single, reliable workflow that keeps the record clean and the conversation moving.

Common Questions About Avochato MCP

How do I use the Avochato MCP Server to send a message? +

You use the send_message tool. You just tell the agent the recipient's number and the message text. The agent handles the API call and confirms the status.

Can I list contacts using the Avochato MCP Server? +

Yes, you use the list_contacts tool. This retrieves a full list of all your contacts. You can then use get_contact to dig into a specific person's full history.

How does Avochato MCP Server handle ticket updates? +

Use the update_ticket tool. You provide the ticket ID and the new status (e.g., 'Closed'). The agent modifies the ticket status in real-time for you.

Is the Avochato MCP Server better than writing custom code? +

It's faster. Instead of building and maintaining a whole API layer for every action, you just invoke the tools via natural language. The agent does the hard work of calling the API.

What if I need to check my account status with Avochato MCP Server? +

Use get_account_info. This tool pulls your account identity details, letting you verify everything is connected and running properly.

How do I use the `list_messages` tool in the Avochato MCP Server? +

You call list_messages to retrieve a history of all SMS/MMS messages. This tool gives you full oversight of past customer communications, allowing you to check message status and content via your AI client.

What is the scope of the `get_contact` tool in the Avochato MCP Server? +

The get_contact tool fetches specific details for a single contact. You can pull detailed profiles and interaction history programmatically, making it ideal for building targeted customer outreach scripts.

Does the Avochato MCP Server support webhook management tools? +

Yes, you manage webhooks using create_webhook, delete_webhook, and list_webhooks. This lets your AI client automate real-time reporting and instantly react to incoming message events.

How do I find my Avochato API credentials? +

Log in to your account, navigate to Settings > API Access, and copy your unique Auth ID and Auth Secret.

Can I send media files via AI? +

Yes! The send_message tool accepts a media_url parameter, allowing your agent to dispatch high-fidelity MMS content programmatically.

How do I check active tickets? +

Use the list_tickets tool to retrieve your complete directory of active and pending support tickets directly through your agent.

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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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