Atlas MCP Server for Vercel AI SDK 8 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Atlas 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 Atlas, 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 Atlas MCP Server
The Atlas MCP Server provides a seamless natural language interface to your Atlas.so customer support platform. Empower your AI agent to manage your entire support operation, from ticket auditing to customer oversight and knowledge base access.
The Vercel AI SDK gives every Atlas tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 8 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.
Key Features
- Ticket Management — List all active support tickets, retrieve detailed conversation metadata, and create new tickets directly from your chat.
- Customer Oversight — Access and manage your customer database, including names, emails, and internal IDs.
- Knowledge Base Access — List help center articles to provide accurate information based on your organization's documentation.
- Team Monitoring — View a list of team users (agents) to understand your support capacity.
- Real-time Support Analytics — Quickly audit active conversations and customer needs using simple natural language commands.
- Secure API Integration — Uses your Atlas.so API Token for safe and authenticated access to your support data.
The Atlas MCP Server exposes 8 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 Atlas to Vercel AI SDK via MCP
Follow these steps to integrate the Atlas 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 8 tools from Atlas and passes them to the LLM
Why Use Vercel AI SDK with the Atlas MCP Server
Vercel AI SDK provides unique advantages when paired with Atlas 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 Atlas integration everywhere
Built-in streaming UI primitives let you display Atlas 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
Atlas + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Atlas MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Atlas in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Atlas tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Atlas capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Atlas through natural language queries
Atlas MCP Tools for Vercel AI SDK (8)
These 8 tools become available when you connect Atlas to Vercel AI SDK via MCP:
create_ticket
Create a new support ticket
get_account_check
Verify Atlas account connection
get_customer
Get details for a specific customer
get_ticket
Get details for a specific ticket
list_articles
List help center articles
list_customers
List all customers in Atlas
list_tickets
List all support tickets in Atlas
list_users
List team users (agents)
Example Prompts for Atlas in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Atlas immediately.
"List all active support tickets in Atlas."
"Show me the details for ticket ID 'tick_12345'."
"Find all help articles related to 'Pricing'."
Troubleshooting Atlas MCP Server with Vercel AI SDK
Common issues when connecting Atlas to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpAtlas + Vercel AI SDK FAQ
Common questions about integrating Atlas 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 Atlas 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 Atlas to Vercel AI SDK
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.