How to Use the WhatsApp Message Sender MCP in Mastra AI
Build reliable WhatsApp message workflows with Mastra AI's robust agent framework.
Works with every AI agent you already use
…and any MCP-compatible client
Connect WhatsApp Message Sender MCP to Mastra AI
Create your Vinkius account to connect WhatsApp Message Sender 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.
Reliable WhatsApp Message Sending Workflows
The `send_whatsapp_message` tool sends a text message using the official Meta API. Because you use Mastra AI, if sending fails (say, due to a temporary network issue), your workflow engine can automatically retry with exponential backoff. This means your complex multi-step process doesn't break over a single failed WhatsApp Message Sender attempt. It keeps trying until it succeeds or hits a defined limit.
Conditional Sending Logic
You can wrap the `send_whatsapp_message` tool in conditional branching logic within Mastra AI. For example, if an initial payment fails, your workflow might decide to use the WhatsApp Message Sender to notify an admin instead of trying a different method. This allows for much smarter operations than simple linear scripts. The agent framework handles all that decision-making gracefully.
One-Command Deployment with MCP Server
Deploying your entire workflow, including the `send_whatsapp_message` tool call, is a single command in Mastra AI. You define the steps—like gathering recipient data and calling the WhatsApp Message Sender—and the framework manages deployment to any cloud. This drastically simplifies moving from development to production. It's built for complex systems that need reliability.
Set up WhatsApp Message Sender MCP in Mastra AI
Prerequisites
- Node.js 18+ and a TypeScript project
-
@mastra/mcp+@mastra/corepackages - Active Vinkius subscription with a valid endpoint token
- 1
Install dependencies
Run
npm install @mastra/mcp @mastra/coreplus your preferred model provider (e.g.@ai-sdk/openai). - 2
Configure the MCPClient
Create an
MCPClientwith your Vinkius endpoint as aURLobject. 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'stoolsobject. All WhatsApp Message Sender tools become native Mastra tools. - 4
Run with any model
Swap
openai("gpt-4o")for any AI SDK-compatible provider. Callagent.generate()and the agent routes tool calls through MCP automatically.
import { MCPClient } from "@mastra/mcp";
import { Agent } from "@mastra/core/agent";
import { openai } from "@ai-sdk/openai";
const mcpClient = new MCPClient({
id: "whatsapp-message-sender-mcp-client",
servers: {
"whatsapp-message-sender-mcp": {
url: new URL(
"https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
),
},
},
});
const agent = new Agent({
name: "WhatsApp Message Sender Agent",
model: openai("gpt-4o"),
instructions: "You have access to WhatsApp Message Sender tools.",
tools: {
...(await mcpClient.listTools()),
},
});
const result = await agent.generate(
"List recent WhatsApp Message Sender transactions"
);
console.log(result.text); Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by WhatsApp Cloud API. 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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Common questions about WhatsApp Message Sender MCP in Mastra AI
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