How to Use the Elevio MCP in Vercel AI SDK

Q: Can the Vercel AI SDK search Elevio articles?

Yes. The agent uses the searchknowledgearticles tool to find specific titles or keywords. The results flow back through the stream, ready to render in your UI.

Q: How do I check account limits?

Call the getelevioaccountmetadata tool. It returns your current limits and account metadata, which your React frontend can display to admins.

Stream Elevio knowledge base audits and article details straight into your React UI with the Vercel AI SDK.

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…and any MCP-compatible client

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Connect Elevio MCP to Vercel AI SDK

Create your Vinkius account to connect Elevio to Vercel AI SDK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Elevio with Vercel AI SDK

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Stream knowledge base audits from the MCP Server

Your Vercel AI SDK application can pipe live documentation metrics straight to the browser. End users watch the dashboard populate in real-time as `quick_content_health_audit` pulls volume summaries for articles and categories. You do not have to build a loading spinner. The agent calls `list_empty_knowledge_categories` and the results stream into your Next.js frontend instantly, letting content managers spot gaps before they hit publish.

Render article details dynamically

Give your users an interface that pulls full documentation context on demand. When someone asks about a specific guide, the agent triggers `get_article_details` to fetch the exact text and settings. The text flows straight into your Svelte or Vue components. You can combine this with `search_knowledge_articles` to build a custom support widget that finds and displays answers without leaving the page.

Track drafts and live modules

Support teams need to know what tools are active and what content is pending. Your AI client can hit `list_active_modules` to check which assistant modules are currently running on your site. While that data renders, the agent fires off `list_draft_knowledge_articles`. The UI updates with a live queue of every piece of documentation waiting for approval, keeping writers and developers perfectly synced.

Setup guide

Set up Elevio MCP in Vercel AI SDK

Prerequisites

Node.js 18+ and a TypeScript project
ai + @modelcontextprotocol/sdk packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies

Run npm install ai @modelcontextprotocol/sdk plus your preferred model provider (e.g. @ai-sdk/openai).
2

Create the Streamable HTTP transport

Use StreamableHTTPClientTransport with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and use tools

Call mcpClient.tools() to auto-discover all Elevio tools. Pass them directly to generateText() or streamText() — no manual schema definitions needed.
4

Works with any model provider

Swap openai("gpt-4o") for any AI SDK provider — Anthropic, Google, Mistral. The MCP tools work identically across all supported models.

index.ts

import { experimental_createMCPClient as createMCPClient } from "ai";
import { StreamableHTTPClientTransport } from "@modelcontextprotocol/sdk/client/streamableHttp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";

const transport = new StreamableHTTPClientTransport(
  new URL("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
);

const mcpClient = await createMCPClient({ transport });
const tools = await mcpClient.tools();

const { text } = await generateText({
  model: openai("gpt-4o"),
  tools,
  prompt: "List recent Elevio transactions",
});

console.log(text);
await mcpClient.close();

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Elevio. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about Elevio MCP in Vercel AI SDK

Install the @ai-sdk/mcp package and set up an HTTP transport. Use createMCPClient with your Elevio endpoint, then pass the tools directly into streamText.

Yes. The agent uses the search_knowledge_articles tool to find specific titles or keywords. The results flow back through the stream, ready to render in your UI.

This MCP integration gives your LLM immediate, formatted access to ten different endpoints. You skip writing custom fetch logic and get streaming tool execution out of the box.

Call the get_elevio_account_metadata tool. It returns your current limits and account metadata, which your React frontend can display to admins.

The server reads knowledge base articles, category structures, and account metadata. Vinkius runs this connection inside an ephemeral V8 Isolate Sandbox. Once the SDK finishes streaming the list_knowledge_articles response, the environment terminates completely.

Use it with your favorite AI tools

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