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Domo MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 6 tools to Add User To Group, Create Group, Create User, and more

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The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Domo 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 MCP Server for Vercel AI SDK

The Domo MCP Server for Vercel AI SDK is a standout in the Brain Trust category — giving your AI agent 6 tools to work with, ready to go from day one.

Built for AI Agents by Vinkius

Vinkius delivers Streamable HTTP and SSE to any MCP client

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typescript
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 Domo, list all available capabilities.",
    });
    console.log(text);
  } finally {
    await mcpClient.close();
  }
}

main();
Domo
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* 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 Domo MCP Server

Connect your Domo instance to any AI agent to streamline user administration and group management through natural language.

The Vercel AI SDK gives every Domo tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 6 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

  • User Administration — Create new users with specific roles (Admin, Privileged, Participant), update existing profiles, or remove users from the system.
  • Group Management — Create organizational groups to manage access at scale.
  • Membership Control — Seamlessly add or remove users from specific Domo groups to maintain security and collaboration standards.

The Domo MCP Server exposes 6 tools through the Vinkius. Connect it to Vercel AI SDK in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 6 Domo tools available for Vercel AI SDK

When Vercel AI SDK connects to Domo through Vinkius, your AI agent gets direct access to every tool listed below — spanning user-administration, data-governance, analytics, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.

add

Add user to group on Domo

Add a user to a Domo group

create

Create group on Domo

Create a new Domo group

create

Create user on Domo

Optionally sends an invite email. Create a new Domo user

delete

Delete user on Domo

Delete a Domo user

remove

Remove user from group on Domo

Remove a user from a Domo group

update

Update user on Domo

Update an existing Domo user

Connect Domo to Vercel AI SDK via MCP

Follow these steps to wire Domo into Vercel AI SDK. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

01

Install dependencies

Run npm install @ai-sdk/mcp ai @ai-sdk/openai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Run the script

Save to agent.ts and run with npx tsx agent.ts
04

Explore tools

The SDK discovers 6 tools from Domo and passes them to the LLM

Why Use Vercel AI SDK with the Domo MCP Server

Vercel AI SDK provides unique advantages when paired with Domo through the Model Context Protocol.

01

TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box

02

Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same Domo integration everywhere

03

Built-in streaming UI primitives let you display Domo tool results progressively in React, Svelte, or Vue components

04

Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency

Domo + Vercel AI SDK Use Cases

Practical scenarios where Vercel AI SDK combined with the Domo MCP Server delivers measurable value.

01

AI-powered web apps: build dashboards that query Domo in real-time and stream results to the UI with zero loading states

02

API backends: create serverless endpoints that orchestrate Domo tools and return structured JSON responses to any frontend

03

Chatbots with tool use: embed Domo capabilities into conversational interfaces with streaming responses and tool call visibility

04

Internal tools: build admin panels where team members interact with Domo through natural language queries

Example Prompts for Domo in Vercel AI SDK

Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Domo immediately.

01

"Create a new Domo user for Alice Smith (alice@company.com) as a 'Privileged' user."

02

"Update user ID 55021 to have the job title 'Senior Analyst' and location 'New York'."

03

"Add user 10293 to the 'Data Science' group (ID 9982)."

Troubleshooting Domo MCP Server with Vercel AI SDK

Common issues when connecting Domo to Vercel AI SDK through Vinkius, and how to resolve them.

01

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

Domo + Vercel AI SDK FAQ

Common questions about integrating Domo MCP Server with Vercel AI SDK.

01

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.
02

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.
03

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.

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