WSLA (WhatsApp) MCP Server for Mastra AIGive Mastra AI instant access to 5 tools to Get Whatsapp Media Details, List Whatsapp Templates, Send Whatsapp Reaction, and more
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect WSLA (WhatsApp) through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.
Ask AI about this App Connector for Mastra AI
The WSLA (WhatsApp) app connector for Mastra AI is a standout in the Industry Titans category — giving your AI agent 5 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
import { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";
async function main() {
// Your Vinkius token. get it at cloud.vinkius.com
const mcpClient = await createMCPClient({
servers: {
"wsla-whatsapp": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "WSLA (WhatsApp) Agent",
instructions:
"You help users interact with WSLA (WhatsApp) " +
"using 5 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with WSLA (WhatsApp)?"
);
console.log(result.text);
}
main();
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About WSLA (WhatsApp) MCP Server
Connect your WhatsApp Business Platform (via Meta Cloud API) to any AI agent to automate your customer communications. WSLA provides a direct bridge to Meta's infrastructure for reliable, scalable messaging.
Mastra's agent abstraction provides a clean separation between LLM logic and WSLA (WhatsApp) tool infrastructure. Connect 5 tools through Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution. deployable to any Node.js host in one command.
What you can do
- Conversational AI — Send instant text messages to any WhatsApp number during active customer support windows.
- Business Notifications — Use pre-approved message templates for proactive alerts, appointment reminders, and shipping updates.
- Interactive Reactions — Allow your AI agent to react to incoming customer messages with emojis for more natural engagement.
- Template Management — List and search all approved templates associated with your WhatsApp Business Account.
- Media Intelligence — Retrieve details for incoming media to enable multi-modal interactions through your AI agent.
The WSLA (WhatsApp) MCP Server exposes 5 tools through the Vinkius. Connect it to Mastra AI in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
All 5 WSLA (WhatsApp) tools available for Mastra AI
When Mastra AI connects to WSLA (WhatsApp) through Vinkius, your AI agent gets direct access to every tool listed below — spanning whatsapp-api, conversational-ai, business-messaging, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.
Get media details
List message templates
React to a WhatsApp message
Send a WhatsApp template message
Send a text message via WhatsApp
Connect WSLA (WhatsApp) to Mastra AI via MCP
Follow these steps to wire WSLA (WhatsApp) into Mastra AI. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install dependencies
npm install @mastra/core @mastra/mcp @ai-sdk/openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
agent.ts and run with npx tsx agent.tsExplore tools
Why Use Mastra AI with the WSLA (WhatsApp) MCP Server
Mastra AI provides unique advantages when paired with WSLA (WhatsApp) through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add WSLA (WhatsApp) without touching business code
Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation
TypeScript-native: full type inference for every WSLA (WhatsApp) tool response with IDE autocomplete and compile-time checks
One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure
WSLA (WhatsApp) + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the WSLA (WhatsApp) MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query WSLA (WhatsApp), process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed WSLA (WhatsApp) as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query WSLA (WhatsApp) on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using WSLA (WhatsApp) tools alongside other MCP servers
Example Prompts for WSLA (WhatsApp) in Mastra AI
Ready-to-use prompts you can give your Mastra AI agent to start working with WSLA (WhatsApp) immediately.
"Send a WhatsApp message 'Welcome to our service!' to +1234567890."
"List all approved templates for my business account."
Troubleshooting WSLA (WhatsApp) MCP Server with Mastra AI
Common issues when connecting WSLA (WhatsApp) to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpWSLA (WhatsApp) + Mastra AI FAQ
Common questions about integrating WSLA (WhatsApp) MCP Server with Mastra AI.
How does Mastra AI connect to MCP servers?
MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.