How to Use the Mainstay (AdmitHub) MCP in Vercel AI SDK

Q: How does the Mainstay (AdmitHub) MCP Server integrate with Vercel AI SDK UI components?

The server exposes tools like getcontactdetails that return raw JSON payloads. Your Vercel AI SDK application maps these payloads to React or Next.js components, streaming the data directly into the user interface.

Q: How do we handle large lists of messages in Vercel AI SDK using Mainstay (AdmitHub)?

Your agent calls listmessages through the SDK's tool calling mechanism. The tool returns the message history in small chunks, which your app can stream directly into a chat window.

Q: How do we fetch custom student metadata in our Next.js client?

Your agent invokes listcustomfields to identify available metadata tags. It then uses those tags to parse student profiles dynamically.

Q: How is student contact data secured when using this server?

All student contacts retrieved via listcontacts are processed in ephemeral V8 sandboxes. No student data is stored on Vinkius, and transport-level encryption protects every API call.

Display live student campaign data in your React app with Vercel AI SDK and this Mainstay (AdmitHub) MCP Server.

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Connect Mainstay (AdmitHub) MCP to Vercel AI SDK

Create your Vinkius account to connect Mainstay (AdmitHub) 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 Mainstay (AdmitHub) with Vercel AI SDK

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Live Student Campaign Monitoring

This MCP Server uses `list_campaigns` to pull active outreach initiatives directly into your Vercel AI SDK frontend. Your AI client fetches the active outreach lists and streams them to the user's screen in real-time, bypassing slow page reloads. By feeding this data straight into Next.js components, you show advisors which campaigns are active without making them wait for a full database query. The tool lets your agent pull campaign statuses and render them instantly.

Real-time Message Log Streaming

This tool uses `list_messages` to stream communication logs directly into your chat interface. Using Vercel AI SDK, your application displays SMS exchanges as they happen, letting support agents see exactly what a student replied. Instead of polling an API, the server handles the heavy lifting and feeds the raw text logs into your UI components. Advisors get immediate access to historical context during live interactions.

Instant Student Profile Inspection

This tool uses `get_contact_details` to retrieve specific student files and render them on edge functions. The MCP Server lets your agent populate custom UI cards with student data the moment an advisor asks. You can also query `list_custom_fields` to map custom metadata directly to React state. This keeps your interface fast and ensures advisors see the exact variables driving student nudges without lag.

Setup guide

Set up Mainstay (AdmitHub) 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 Mainstay (AdmitHub) 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 Mainstay (AdmitHub) 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 Mainstay. 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 Mainstay (AdmitHub) MCP in Vercel AI SDK

The server exposes tools like `get_contact_details` that return raw JSON payloads. Your Vercel AI SDK application maps these payloads to React or Next.js components, streaming the data directly into the user interface.

Yes. The server runs inside Vinkius's secure sandbox, allowing your edge-deployed Vercel AI SDK app to query student records via simple HTTP transport.

Your agent calls `list_messages` through the SDK's tool calling mechanism. The tool returns the message history in small chunks, which your app can stream directly into a chat window.

Your agent invokes `list_custom_fields` to identify available metadata tags. It then uses those tags to parse student profiles dynamically.

All student contacts retrieved via `list_contacts` are processed in ephemeral V8 sandboxes. No student data is stored on Vinkius, and transport-level encryption protects every API call.

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