Bring Whatsapp Api
to Vercel AI SDK
Learn how to connect 360dialog to Vercel AI SDK and start using 10 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
What is the 360dialog MCP Server?
Connect your 360dialog WhatsApp Business API to any AI agent and manage your entire messaging workflow through natural conversation.
What you can do
- Text Messaging — Send individual WhatsApp messages to any phone number in international format
- Template Messages — Send pre-approved template messages with language targeting for marketing and transactional flows
- Media Messages — Send images, videos, documents, and audio files directly to WhatsApp contacts
- Template Management — List all approved message templates and inspect individual template details and components
- Contact Verification — Check whether phone numbers are registered on WhatsApp before sending campaigns
- Media Uploads — Upload media files to the WhatsApp cloud for reuse across multiple messages
- Webhook Configuration — Set the callback URL where incoming messages and delivery status updates are received
- Health Monitoring — Verify API connectivity and account health in real time
How it works
1. Subscribe to this server
2. Enter your API Key from the 360dialog Client Hub
3. Start messaging from Claude, Cursor, or any MCP client
Who is this for?
- Customer Support — respond to inquiries and verify WhatsApp availability via simple AI commands
- Marketing Teams — send template campaigns and check delivery readiness before launch
- Sales Operations — verify lead phone numbers and automate first-touch outreach
Built-in capabilities (10)
Verify API connectivity
Check WhatsApp contacts
Get media file details
Get template details
List all message templates
Provide the media type and URL. Send a media message
Provide the recipient number in international format. Send a WhatsApp text message
Requires the template name and language code. Send a template message
Configure webhook URL
Upload media for messaging
Why Vercel AI SDK?
The Vercel AI SDK gives every 360dialog tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 10 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.
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TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
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Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same 360dialog integration everywhere
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Built-in streaming UI primitives let you display 360dialog tool results progressively in React, Svelte, or Vue components
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Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency
360dialog in Vercel AI SDK
360dialog and 3,400+ other MCP servers. One platform. One governance layer.
Teams that connect 360dialog to Vercel AI SDK 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 360dialog in Vercel AI SDK
The 360dialog 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 10 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in Vercel AI SDK 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
360dialog for Vercel AI SDK
Every tool call from Vercel AI SDK to the 360dialog MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
Can my AI verify if phone numbers are registered on WhatsApp?
Yes. Use the check_contacts tool with a comma-separated list of phone numbers. The agent returns the WhatsApp registration status for each number instantly.
How do I send a pre-approved template message?
Use the send_template_message tool. Provide the recipient phone number, the template name, and the language code (e.g., en_US). The agent delivers the template through the 360dialog API.
Can I send images and documents through WhatsApp via AI?
Yes. The send_media_message tool supports image, video, document, and audio types. Provide the media URL and type, and the agent delivers it directly to the WhatsApp contact.
How does the Vercel AI SDK connect to MCP servers?
Import createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.
Can I use MCP tools in Edge Functions?
Yes. The AI SDK is fully edge-compatible. MCP connections work on Vercel Edge Functions, Cloudflare Workers, and similar runtimes.
Does it support streaming tool results?
Yes. The SDK provides streaming primitives like useChat and streamText that handle tool calls and display results progressively in the UI.
createMCPClient is not a function
Install: npm install @ai-sdk/mcp