Bring Whatsapp Api
to Mastra AI
Learn how to connect WSLA (WhatsApp) to Mastra AI and start using 5 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
What is the 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.
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.
How it works
1. Subscribe to this server
2. Enter your Meta System User Access Token and WhatsApp Phone Number ID
3. Start automating your WhatsApp engagement from Claude, Cursor, or any MCP-compatible client
Who is this for?
- Support Teams — automate common customer queries and proactive status updates.
- Marketing Operations — send personalized template-based notifications to your opted-in audience.
- Developers — integrate real-time WhatsApp messaging into custom AI-driven business workflows.
Built-in capabilities (5)
Get media details
List message templates
React to a WhatsApp message
Send a WhatsApp template message
Send a text message via WhatsApp
Why Mastra AI?
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.
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Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add WSLA (WhatsApp) without touching business code
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Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation
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TypeScript-native: full type inference for every WSLA (WhatsApp) tool response with IDE autocomplete and compile-time checks
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One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure
WSLA (WhatsApp) in Mastra AI
WSLA (WhatsApp) and 3,400+ other MCP servers. One platform. One governance layer.
Teams that connect WSLA (WhatsApp) to Mastra AI through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.
Raw MCP | Vinkius | |
|---|---|---|
| Server catalog | Find and host yourself | 3,400+ managed |
| Infrastructure | Self-hosted | Sandboxed V8 isolates |
| Credential handling | Plaintext in config | Vault + runtime injection |
| Data loss prevention | None | Configurable DLP policies |
| Kill switch | None | Global instant shutdown |
| Financial circuit breakers | None | Per-server limits + alerts |
| Audit trail | None | Ed25519 signed logs |
| SIEM log streaming | None | Splunk, Datadog, Webhook |
| Honeytokens | None | Canary alerts on leak |
| Custom domains | Not applicable | DNS challenge verified |
| GDPR compliance | Manual effort | Automated purge + export |
Why teams choose Vinkius for WSLA (WhatsApp) in Mastra AI
The WSLA (WhatsApp) 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. All 5 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in Mastra AI only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.
* 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
How Vinkius secures
WSLA (WhatsApp) for Mastra AI
Every tool call from Mastra AI to the WSLA (WhatsApp) MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
Where do I find my Phone Number ID and Access Token?
Log in to the Meta Developer Portal, select your App, and navigate to the WhatsApp > Getting Started section for the ID, and the App Settings for the System User Access Token.
What is the 24-hour window policy?
WhatsApp restricts business-initiated free-text messages. You can only send free-form text if the user has messaged you in the last 24 hours. Outside this window, you must use a pre-approved Template.
How does Mastra AI connect to MCP servers?
Create an MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.
Can Mastra agents use tools from multiple servers?
Yes. Pass multiple MCP clients to the agent constructor. Mastra merges all tool schemas and the agent can call any tool from any server.
Does Mastra support workflow orchestration?
Yes. Mastra has a built-in workflow engine that lets you chain MCP tool calls with branching logic, error handling, and parallel execution.
createMCPClient not exported
Install: npm install @mastra/mcp