Avochato MCP Server for Vercel AI SDK 10 tools — connect in under 2 minutes
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.
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Vinkius supports streamable HTTP and SSE.
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 manage your business messaging workflows through natural conversation.
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.
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
The Avochato MCP Server exposes 10 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.
How to Connect Avochato to Vercel AI SDK via MCP
Follow these steps to integrate the Avochato MCP Server with Vercel AI SDK.
Install dependencies
Run npm install @ai-sdk/mcp ai @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the script
Save to agent.ts and run with npx tsx agent.ts
Explore tools
The SDK discovers 10 tools from Avochato and passes them to the LLM
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
Avochato MCP Tools for Vercel AI SDK (10)
These 10 tools become available when you connect Avochato to Vercel AI SDK via MCP:
create_broadcast
Schedule or send a message broadcast
create_contact
Add a new contact to Avochato
get_account_check
Verify Avochato account connection
get_contact
Get details for a specific contact
list_broadcasts
List message broadcasts
list_contacts
List and search contacts
list_messages
List message history in Avochato
send_message
Send an SMS/MMS message
update_contact
Update an existing contact
who_am_i
Get current API user and inbox information
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 message to '555-0199': 'Hi there, your order is ready for pickup!'"
"List the last 10 messages from today."
"Find all contacts with the tag 'High-Value'."
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.Connect Avochato with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Avochato to Vercel AI SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.