How to Use the Avochato MCP in Mastra AI

Q: How do I register the Avochato tools inside a Mastra AI agent?

Install @mastra/mcp@latest and initialize the MCP client with your Vinkius URL. Call mcpClient.listTools() to get the tool definitions, then spread them directly into your agent's tools array.

Q: How do I require human approval before sending an SMS with Avochato in Mastra AI?

Configure requireToolApproval on the sendmessage tool inside your Mastra configuration. The agent will pause and wait for your confirmation before dispatching the text.

Q: Can I build a workflow that syncs contacts between platforms?

Yes. Your agent can query listcontacts to find updates, then run updatecontact to keep names and phone numbers synchronized across your business tools.

Build resilient, multi-step SMS workflows with Mastra AI and handle messaging failures automatically.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Avochato MCP to Mastra AI

Create your Vinkius account to connect Avochato to Mastra AI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

GDPR Free for Subscribers

Setup Avochato with Mastra AI

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Build automated messaging pipelines with Mastra AI

Stop babysitting your API calls. This MCP Server lets you build complex logic chains that handle SMS routing without human intervention. If an agent tries to run `send_message` and hits a rate limit, Mastra automatically retries with exponential backoff. You can set up conditional branching based on customer replies. The agent pulls recent texts using `list_messages` and decides whether to escalate the conversation or mark it resolved.

Safe ticket updates with human approval

You shouldn't let an LLM modify customer records without guardrails. By setting `requireToolApproval` on `update_ticket` and `update_contact`, you keep control over critical actions while letting the agent do the heavy lifting. The agent can draft ticket updates using `list_tickets` to gather context. Once you click approve, the agent executes the change and updates the customer record instantly.

Self-healing webhook setups

Messaging systems break when webhooks go down. This MCP Server allows your agent to monitor your pipeline health by running `list_webhooks` on a cron schedule. If an endpoint fails, the agent runs `delete_webhook` and spins up a fresh one with `create_webhook`. It keeps your communication channels open without manual debugging.

Setup guide

Set up Avochato MCP in Mastra AI

Prerequisites

Node.js 18+ and a TypeScript project
@mastra/mcp + @mastra/core packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run npm install @mastra/mcp @mastra/core plus your preferred model provider (e.g. @ai-sdk/openai).
2

Configure the MCPClient
Create an MCPClient with your Vinkius endpoint as a URL object. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and inject tools
Call mcpClient.listTools() and spread the result into your agent's tools object. All Avochato tools become native Mastra tools.
4

Run with any model
Swap openai("gpt-4o") for any AI SDK-compatible provider. Call agent.generate() and the agent routes tool calls through MCP automatically.

agent.ts

import { MCPClient } from "@mastra/mcp";
import { Agent } from "@mastra/core/agent";
import { openai } from "@ai-sdk/openai";

const mcpClient = new MCPClient({
  id: "avochato-alternative-mcp-client",
  servers: {
    "avochato-alternative-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

const agent = new Agent({
  name: "Avochato Agent",
  model: openai("gpt-4o"),
  instructions: "You have access to Avochato tools.",
  tools: {
    ...(await mcpClient.listTools()),
  },
});

const result = await agent.generate(
  "List recent Avochato transactions"
);
console.log(result.text);

Get your connection token →

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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect Avochato now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Avochato MCP in Mastra AI

Install `@mastra/mcp@latest` and initialize the MCP client with your Vinkius URL. Call `mcpClient.listTools()` to get the tool definitions, then spread them directly into your agent's tools array.

Yes. Mastra has a built-in workflow engine that catches API errors during actions like `send_message`. It retries the call automatically using backoff strategies you define.

Configure `requireToolApproval` on the `send_message` tool inside your Mastra configuration. The agent will pause and wait for your confirmation before dispatching the text.

Yes. Your agent can query `list_contacts` to find updates, then run `update_contact` to keep names and phone numbers synchronized across your business tools.

Your credentials stay encrypted within Vinkius and are never exposed to the LLM or Mastra. The MCP sandbox environment only grants temporary, read-write access to SMS and ticket data during active tool execution.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript