How to Use the HelpCrunch MCP in Vercel AI SDK

Q: How do I connect the HelpCrunch MCP server to Vercel AI SDK?

You use the createMCPClient function from the AI SDK package. Point the transport to your Vercel-hosted server URL and pass the tool definitions into your agent's tool array.

Stream HelpCrunch support data directly into your Vercel AI SDK interface for real-time customer interaction management.

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Connect HelpCrunch MCP to Vercel AI SDK

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

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Live chat context in Vercel AI SDK

Pull conversation history instantly when a user triggers an event. Use `list_chat_messages` to feed the exact interaction history into your prompt context without waiting for static database queries. Your UI updates as the data arrives. By passing tool results into `streamText`, you let the end user see the support conversation unfolding in their browser.

Automated status updates for HelpCrunch

Close tickets or change assignees based on user input captured in your frontend. Trigger `update_chat_status` or `update_chat_assignee` the moment a user confirms their issue is resolved. This keeps your HelpCrunch dashboard accurate without requiring manual administrative work. Your Vercel AI SDK application handles the state transition behind the scenes.

Direct customer profile management

Fetch contact data or modify tags during a live session. Use `get_customer_details` to verify who you are talking to and `add_customer_tag` to categorize them on the fly. These updates reflect immediately in your support backend. You gain granular control over the customer record directly from your web interface.

Setup guide

Set up HelpCrunch 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 HelpCrunch 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 HelpCrunch transactions",
});

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

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Common questions about HelpCrunch MCP in Vercel AI SDK

You use the `createMCPClient` function from the AI SDK package. Point the transport to your Vercel-hosted server URL and pass the tool definitions into your agent's tool array.

Yes. Because the server returns results as standard JSON, the AI SDK handles the stream and updates your React or Svelte components as the data arrives.

It does. The MCP server uses a standard HTTP transport that plays nice with Edge runtime constraints, assuming your network configuration allows the outbound connection.

The server exposes the full API capability, but you should monitor your HelpCrunch API rate limits. Cache your responses if you find yourself hitting the same chat frequently.

We keep your connection encrypted over HTTPS. The server only touches the raw chat text and customer profiles you explicitly request via the tool calls.

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