How to Use the Classy.org MCP in Vercel AI SDK

Q: How do I connect the Vercel AI SDK to the Classy.org MCP Server?

Install the @ai-sdk/mcp package and set up your client. You pass the Vinkius endpoint token into createMCPClient and hand those tools to streamText.

Q: Can the Vercel AI SDK pull Classy.org team data?

Yes. Your agent calls listfundraisingteams to grab peer-to-peer group stats. The results stream back into your frontend instantly.

Q: How do I filter specific Classy.org campaigns using Vercel AI SDK?

You prompt the AI to find what you need. It uses listfundraisingcampaigns internally and filters the JSON response before streaming the relevant text to your user.

Build live fundraising dashboards in your Next.js app using the Vercel AI SDK to stream Classy.org donation data directly to users.

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Works with every AI agent you already use

…and any MCP-compatible client

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Connect Classy.org MCP to Vercel AI SDK

Create your Vinkius account to connect Classy.org 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 Classy.org with Vercel AI SDK

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Live Donation Feeds

You want donors to see their impact immediately. Instead of forcing users to refresh a static page, your AI client fetches data using `list_donation_transactions` and pushes it straight to the DOM. The moment a new gift clears, `get_activity_feed` picks it up. Your Next.js frontend renders that new interaction live while the agent generates a personalized thank-you message.

Campaign Tracking UI

Building progress bars that actually reflect reality takes work. This integration lets your agent call `list_fundraising_campaigns` to pull current totals on the fly. When a user asks about a specific drive, `get_campaign_details` grabs the exact numbers. The AI streams that context right into your Svelte or Vue interface without hanging on a loading state.

Classy.org MCP Server Streaming

Peer-to-peer fundraising relies on momentum. Connect the server to watch specific teams hit their goals in real time. Your app can run `list_individual_fundraising_pages` alongside `list_fundraising_teams` to build live leaderboards. The underlying transport handles the connection while you focus on the UI components.

Setup guide

Set up Classy.org 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 Classy.org 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 Classy.org 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 Classy.org. 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

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect Classy.org now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Classy.org MCP in Vercel AI SDK

Install the `@ai-sdk/mcp` package and set up your client. You pass the Vinkius endpoint token into `createMCPClient` and hand those tools to `streamText`.

Yes. Your agent calls `list_fundraising_teams` to grab peer-to-peer group stats. The results stream back into your frontend instantly.

It runs perfectly at the edge. The MCP connection uses standard HTTP transport, so you don't have to worry about Node-specific dependencies breaking your build.

You prompt the AI to find what you need. It uses `list_fundraising_campaigns` internally and filters the JSON response before streaming the relevant text to your user.

Vinkius runs inside a V8 Isolate Sandbox that destroys itself after the request finishes. Your application pulls sensitive transaction records and member profiles, but the server retains absolutely zero state.

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