How to Use the Givebutter MCP in Vercel AI SDK

Q: Can Vercel AI SDK handle Givebutter transaction lists?

Yes, it handles them easily. You pass listdonationtransactions to your agent, and it pulls the data into your stream for the frontend to render.

Stream Givebutter donation data directly into your React UI with Vercel AI SDK. Build interfaces that update as gifts arrive.

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Works with every AI agent you already use

…and any MCP-compatible client

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Connect Givebutter MCP to Vercel AI SDK

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

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Real-time donor data visualization

Pipe donation streams straight into your frontend components. Using `list_recent_donations` and `list_donation_transactions`, you can display live gift activity without waiting for page refreshes. Your users see the impact of every gift as it happens. The data flows from the MCP Server into your app state, keeping your dashboard current.

Instant campaign progress tracking

Fetch live campaign metrics to drive dynamic UI elements. By calling `get_campaign_details`, you pull the exact numbers your frontend needs to render progress bars or goal indicators. Everything stays in sync with your source of truth. Your AI client pulls the latest state, ensuring your interface reflects the current fundraising reality.

Automated donor record management

Handle contact updates programmatically using `sync_donor_contact`. You can tie form submissions directly to your CRM, ensuring every supporter is logged correctly. Verification happens in the background. Use `verify_api_connection` to confirm your link to the MCP Server is solid before you push any new contact details.

Setup guide

Set up Givebutter 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 Givebutter 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 Givebutter 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 Givebutter. 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.

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60%

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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 Givebutter MCP in Vercel AI SDK

Install the MCP client package and point it to your Vinkius endpoint URL. Once connected, your tools become available to the AI agent for immediate data retrieval.

Yes, it handles them easily. You pass `list_donation_transactions` to your agent, and it pulls the data into your stream for the frontend to render.

It does. Because the connection is live, your agent fetches current transaction states, which update your components the moment the API returns the result.

Your keys never touch your frontend code. Vinkius handles the auth, and you only interact with the server via the provided endpoint token.

The server accesses donation records, campaign metadata, and contact profiles. We protect this information using ephemeral sessions and strict endpoint-level authentication.

Use it with your favorite AI tools

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