How to Use the FundraisingBox MCP in Vercel AI SDK

Q: How do I connect the Vercel AI SDK to the FundraisingBox MCP Server?

Use createMCPClient with an HTTP transport URL pointing to your Vinkius endpoint. Pass the resulting tools to streamText to start pulling donor data.

Q: Can the Vercel AI SDK handle FundraisingBox pagination?

Yes. When calling endpoints like listdonations, the agent manages the cursor state. It fetches the next page automatically if the user asks for more records.

Q: How do I check if the connection is active?

Run the checkfundraisingboxstatus tool on initialization. It pings the MCP Server to verify your credentials before the user tries to load any campaign data.

Build live donor dashboards in Next.js by streaming FundraisingBox data straight to your users with the Vercel AI SDK.

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Connect FundraisingBox MCP to Vercel AI SDK

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

Ask AI about this MCP

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Claude

Perplexity

Real-time donor profiles

The `get_donor` tool pulls specific profile data directly into your React components. When an end user queries a specific contributor, the AI SDK streams the result back immediately. You bypass the loading spinner entirely. Combine this with `get_donor_history` to build interactive timelines. The client requests the interaction log, and the frontend renders each past contribution as the JSON arrives over the wire.

Live campaign tracking

The `get_campaign` tool feeds live progress metrics into your application state. Your agent grabs the current funding totals and project goals without needing a background sync job. If you want to show broader impact, wire up `list_donations_by_project`. The Vercel AI SDK pushes the raw transaction list straight to your chart components, updating the visual layer as the MCP Server returns the payload.

Instant dashboard rendering

The `get_dashboard` tool gives you the high-level revenue snapshot you need for executive views. You ask the agent for the weekly summary, and it fetches the aggregated metrics on the fly. Add `list_recurring_donations` to project next month's cash flow. Your edge function processes the active subscriptions and streams the forecast directly to the browser view.

Setup guide

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

Use `createMCPClient` with an HTTP transport URL pointing to your Vinkius endpoint. Pass the resulting tools to `streamText` to start pulling donor data.

Yes. When calling endpoints like `list_donations`, the agent manages the cursor state. It fetches the next page automatically if the user asks for more records.

No. Every tool call hits the live API. If you need caching, implement it at the Next.js route handler level.

Run the `check_fundraisingbox_status` tool on initialization. It pings the MCP Server to verify your credentials before the user tries to load any campaign data.

The server processes raw transaction amounts and donor addresses. Vinkius isolates this execution in a V8 sandbox that destroys itself after the request finishes, leaving no trace of the payload.

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