How to Use the Helpjuice MCP in Vercel AI SDK

Q: How do I search my Helpjuice KB using Vercel AI SDK?

You instantiate the MCP client and pass the searchkb tool to your agent. When the agent triggers the search, the results stream straight into your response handler.

Q: Can Vercel AI SDK update Helpjuice articles automatically?

Yes. You define an agent workflow that triggers updatearticle based on your logic. The server handles the API call and returns the confirmation to your frontend.

Q: How do I list my Helpjuice categories in Vercel AI SDK?

Call the listcategories tool. It returns an array of your current category objects which you can map over in your React components.

Stream Helpjuice documentation directly into your Vercel AI SDK interface for real-time, data-driven answers.

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Connect Helpjuice MCP to Vercel AI SDK

Create your Vinkius account to connect Helpjuice 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 Helpjuice with Vercel AI SDK

Ask AI about this MCP

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Claude

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Live Knowledge Base Updates

Feed article data into your frontend components as it arrives. Use `list_articles` to pull your current library and render it into your UI without waiting for page refreshes. Updating your documentation happens instantly. Use `update_article` to push changes from your AI client to your Helpjuice instance while your users watch the content mutate in real-time.

Search and Respond within the UI

Find the right answer for your customers by piping `search_kb` results directly into your chat stream. Your AI client can now index your entire documentation set on the fly. Stop forcing users to jump between tabs to read support docs. With `get_article_details`, you pull the exact text needed to satisfy a query and display it cleanly within your app's layout.

Engagement Tracking for Helpjuice

Display how your users react to your content by calling `get_article_stats`. You can visualize upvote and downvote trends directly in your dashboard using the data returned. Analyze what your visitors actually want by looking at `get_search_trends`. Use this MCP server to build a live view of where your documentation is failing so you can fix it before the next support ticket hits.

Setup guide

Set up Helpjuice 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 Helpjuice 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 Helpjuice 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 Helpjuice. 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.

Why Choose Vinkius

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Common questions about Helpjuice MCP in Vercel AI SDK

You instantiate the MCP client and pass the `search_kb` tool to your agent. When the agent triggers the search, the results stream straight into your response handler.

Yes. You define an agent workflow that triggers `update_article` based on your logic. The server handles the API call and returns the confirmation to your frontend.

The server provides the data, and Vercel AI SDK streams that output to your UI. It works with standard text blocks returned by the Helpjuice API.

Call the `list_categories` tool. It returns an array of your current category objects which you can map over in your React components.

All traffic is encrypted via TLS between the client and the MCP server. Your Helpjuice credentials stay within your secure environment and are never stored by the server.

Use it with your favorite AI tools

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