Bring Business Messaging
to Vercel AI SDK
Learn how to connect Avochato 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 Avochato MCP Server?
Connect your Avochato account to any AI agent and manage your business messaging workflows through natural conversation.
What you can do
- Business Messaging — Send and receive SMS/MMS messages with full delivery status tracking and conversation history
- Contact Organization — Create, update, and search for contacts and manage tags to segment your audience
- Broadcast Management — Coordinate and audit mass messaging campaigns and broadcasts across your target inboxes
- Inbox Auditing — Monitor specific subdomains and verify current API user details for secure communication
How it works
1. Subscribe to this server
2. Enter your Avochato Auth ID and Auth Secret
3. Start managing your business messaging from Claude, Cursor, or any MCP-compatible client
Who is this for?
- Support & Sales Teams — instantly respond to customer messages and update contact details without leaving the workspace
- Marketing Leads — coordinate SMS broadcasts and monitor campaign results through natural language
- Operations Teams — automate localized messaging workflows and audit conversation logs directly from the IDE
Built-in capabilities (10)
Schedule or send a message broadcast
Add a new contact to Avochato
Verify Avochato account connection
Get details for a specific contact
List message broadcasts
List and search contacts
List message history in Avochato
Send an SMS/MMS message
Update an existing contact
Get current API user and inbox information
Why Vercel AI SDK?
The Vercel AI SDK gives every Avochato 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 Avochato integration everywhere
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Built-in streaming UI primitives let you display Avochato 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
Avochato in Vercel AI SDK
Avochato and 3,400+ other MCP servers. One platform. One governance layer.
Teams that connect Avochato 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 Avochato in Vercel AI SDK
The Avochato 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
Avochato for Vercel AI SDK
Every tool call from Vercel AI SDK to the Avochato MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
Can the AI automatically send an SMS to a new contact?
Yes! Use the send_message tool. You'll need to provide the phone number and the message body. Your agent will instantly transmit the SMS through your Avochato inbox.
How do I find all contacts that have been tagged with a specific label?
Simply ask the agent to run the get_contacts tool with the target tag. It will return a list of matching contact profiles, including their names and phone numbers.
Does the integration allow for sending images through MMS?
Yes. The send_message tool supports a media_url parameter, allowing you to include images or other media files in your outgoing messages.
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
