Avochato MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 12 tools to Create Contact, Create Webhook, Delete Webhook, and more
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Avochato through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.
Ask AI about this App Connector for Vercel AI SDK
The Avochato app connector for Vercel AI SDK is a standout in the Communication Messaging category — giving your AI agent 12 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
import { createMCPClient } from "@ai-sdk/mcp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";
async function main() {
const mcpClient = await createMCPClient({
transport: {
type: "http",
// Your Vinkius token. get it at cloud.vinkius.com
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
});
try {
const tools = await mcpClient.tools();
const { text } = await generateText({
model: openai("gpt-4o"),
tools,
prompt: "Using Avochato, list all available capabilities.",
});
console.log(text);
} finally {
await mcpClient.close();
}
}
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 Avochato MCP Server
Connect your Avochato account to any AI agent and take full control of your high-fidelity business texting and customer engagement workflows through natural conversation.
The Vercel AI SDK gives every Avochato tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 12 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.
What you can do
- Multichannel Messaging Orchestration — Instantly dispatch high-fidelity SMS and MMS messages to customers and leads with automatic link and media handling
- Relationship Intelligence — Sync and manage your entire business contact directory programmatically, retrieving detailed high-fidelity profiles and interaction history
- Ticket Lifecycle Management — Organize team workflows by creating and updating tickets, monitoring status transitions, and assigning ownership in real-time
- Communication Architecture — Access complete conversation logs and message threads to maintain high-fidelity oversight of your organizational digital voice
- Operational Monitoring — Configure real-time webhooks for incoming messages and retrieve account-level metadata directly through your agent for instant reporting
The Avochato MCP Server exposes 12 tools through the Vinkius. Connect it to Vercel AI SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
All 12 Avochato tools available for Vercel AI SDK
When Vercel AI SDK connects to Avochato through Vinkius, your AI agent gets direct access to every tool listed below — spanning business-messaging, sms-marketing, mms, 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.
Create a new contact
Create a new webhook
Delete a webhook
Get account identity
Get contact details
List SMS contacts
List SMS/MMS messages
List conversation tickets
List active webhooks
Send an SMS/MMS
Update contact info
Update ticket status
Connect Avochato to Vercel AI SDK via MCP
Follow these steps to wire Avochato into Vercel AI SDK. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install dependencies
npm install @ai-sdk/mcp ai @ai-sdk/openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the script
agent.ts and run with npx tsx agent.tsExplore tools
Why Use Vercel AI SDK with the Avochato MCP Server
Vercel AI SDK provides unique advantages when paired with Avochato through the Model Context Protocol.
TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same Avochato integration everywhere
Built-in streaming UI primitives let you display Avochato tool results progressively in React, Svelte, or Vue components
Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency
Avochato + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Avochato MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Avochato in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Avochato tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Avochato capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Avochato through natural language queries
Example Prompts for Avochato in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Avochato immediately.
"Send a SMS 'Your order is ready!' to '+14155550123'."
"List all active tickets in my Avochato inbox."
"Update ticket '12345' status to 'closed'."
Troubleshooting Avochato MCP Server with Vercel AI SDK
Common issues when connecting Avochato to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpAvochato + Vercel AI SDK FAQ
Common questions about integrating Avochato MCP Server with Vercel AI SDK.
How does the Vercel AI SDK connect to MCP servers?
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?
Does it support streaming tool results?
useChat and streamText that handle tool calls and display results progressively in the UI.