How to Use the Donorbox MCP in Vercel AI SDK

Q: How do I stream Donorbox transactions into a Vercel AI SDK application?

You connect the server using the @ai-sdk/mcp package. Call mcpClient.tools() to grab the tools, pass them to streamText, and use listlatestcontributions to pipe incoming donations directly to your UI.

Q: Can Vercel AI SDK handle bulk Donorbox donor exports?

Yes. Your agent can call listregistereddonors to fetch the entire list. Because Vercel AI SDK handles streaming responses, it can render the donor list piece by piece in your React or Next.js frontend as the data arrives.

Pipe real-time donor data directly to your Next.js UI using Vercel AI SDK.

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Connect Donorbox MCP to Vercel AI SDK

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

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Run live Donorbox audits in your UI with this MCP Server

Don't make your users stare at a loading spinner. When someone asks how a campaign is doing, this MCP Server grabs the numbers using `quick_campaign_performance_audit` and streams them into your React components in real-time. Your client renders the data instantly. You can also pull specific campaign targets using `get_campaign_details` to build progress bars that update as the AI fetches the data. It makes your fundraising dashboard feel alive and responsive.

Query active donors inside your Vercel AI SDK app

Finding a donor shouldn't require a full page reload. By combining the Vercel AI SDK with this MCP Server, your agent finds the exact profile and displays it instantly as the user types. It also lets you fetch full lists via `list_registered_donors` to populate dropdowns or tables on the fly. The streaming response ensures your interface stays snappy even during peak giving seasons.

Watch recurring plans update live

Keeping tabs on monthly giving is critical for non-profit survival. Use `list_recurring_donation_plans` to feed active subscription data straight into your UI components without lag. Your agent can immediately verify status changes using `list_active_subscription_plans` to show which supporters are sticking around. It gives your finance team immediate visual feedback on retention.

Setup guide

Set up Donorbox 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 Donorbox 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 Donorbox 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 Donorbox. 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 Donorbox MCP in Vercel AI SDK

You connect the server using the `@ai-sdk/mcp` package. Call `mcpClient.tools()` to grab the tools, pass them to `streamText`, and use `list_latest_contributions` to pipe incoming donations directly to your UI.

Yes. Your agent can call `list_registered_donors` to fetch the entire list. Because Vercel AI SDK handles streaming responses, it can render the donor list piece by piece in your React or Next.js frontend as the data arrives.

It uses Vinkius to manage the connection. You configure your credentials on Vinkius, grab your endpoint token, and pass it when initializing the client with `createMCPClient`.

Absolutely. The client setup is lightweight and compatible with Edge runtimes. It uses standard HTTP or SSE transports to call tools like `get_donorbox_account_metadata` without hitting cold start delays.

We run every tool in a secure, isolated V8 sandbox. This means sensitive donor details retrieved by `search_donors_by_email` or `list_donorbox_donations` never touch persistent disk storage and are wiped from memory the second your SDK session ends.

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