How to Use the Wati MCP in Mastra AI

Q: What specific tools can I use to manage contacts with Wati in Mastra AI?

You have addcontact, getcontact, and updatecontact. These three tools let you build a full cycle: check the contact, modify them if needed, or create them entirely.

Q: How can I list all available templates for Wati using Mastra AI?

To see what messaging structures are available, you call listtemplates. This provides the names and parameters needed to build a reliable message via sendtemplatemessage.

Reliable WhatsApp messaging workflows for Mastra AI agents.

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Connect Wati MCP to Mastra AI

Create your Vinkius account to connect Wati 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.

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Setup Wati with Mastra AI

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Perplexity

Build Complex, Multi-Step Communication Flows.

Mastra AI excels at handling failure. If sending a message fails—maybe due to rate limits or bad contact data—the workflow doesn't stop. You can program automatic retries with exponential backoff. This means your agent uses tools like `send_template_message` and automatically tries again later, minimizing human intervention in complex communication tasks.

Manage WhatsApp Contacts via Mastra AI.

Your workflows need reliable data. You can build steps that check for existing users using `get_contact`, or if they don't exist, create them with `add_contact`. This keeps your contact list clean and accurate. Need to fix old records? Use `update_contact` within a conditional branch after the initial profile check.

Automate Broadcasts using Mastra AI.

For large campaigns, you don't manually send messages. You list all available groups and message types first (`list_broadcasts`, `list_templates`). Then, the workflow triggers a bulk action. This makes sure that every single contact can receive an update, whether it's a simple text or a rich media file sent via `send_media_message`.

Setup guide

Set up Wati 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 Wati 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: "wati-alternative-mcp-client",
  servers: {
    "wati-alternative-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

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

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

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Common questions about Wati MCP in Mastra AI

Mastra AI handles the reliability layer. If your workflow calls `send_session_message`, and it hits a temporary error, Mastra's built-in logic retries the call until successful or exhausts all attempts.

You have `add_contact`, `get_contact`, and `update_contact`. These three tools let you build a full cycle: check the contact, modify them if needed, or create them entirely.

Yes. You can use template-based messaging for structured updates (`send_template_message`) and regular chat messages when the conversation is freeform (`send_session_message`). The workflow selects the right tool.

This server deals with contact and message data. It specifically touches `contact` attributes, including names and phone numbers. You'll need to handle that PII securely within your own application logic.

To see what messaging structures are available, you call `list_templates`. This provides the names and parameters needed to build a reliable message via `send_template_message`.

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