How to Use the Bloomerang MCP in Vercel AI SDK

Q: How does Vercel AI SDK handle the privacy of Bloomerang donor data?

All donor names, gift histories, and notes fetched via getconstituent are processed in ephemeral V8 isolates. No constituent details or transaction records are ever stored on Vinkius servers, keeping your donor privacy intact.

Stream real-time Bloomerang donor profiles and fundraising metrics directly into your Next.js application using Vercel AI SDK.

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Connect Bloomerang MCP to Vercel AI SDK

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

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Live-streaming donor profiles in Vercel AI SDK

The `get_constituent` tool lets you stream Bloomerang donor details directly into your Next.js application using Vercel AI SDK. Instead of waiting for a slow backend database call, your React components display constituent records in real-time as the model fetches them. When a fundraising officer queries donor history, Vercel AI SDK pipes the output from `list_notes` and `list_tasks` directly into the chat interface. This keeps the active browser session responsive while pulling detailed Bloomerang interaction logs.

Instant campaign tracking for Next.js dashboards

Pulling live donation metrics shouldn't require complex backend routing, which is why the `list_campaigns` tool fetches active Bloomerang fundraising efforts directly into your Vercel AI SDK stream. Your dashboard components can render progress bars dynamically as the AI client reads the campaign data. You do not need to build custom endpoints for every new database visualization in Next.js. The Vercel AI SDK handles the raw JSON stream from `list_transactions` and `list_funds` on the edge, rendering updated donation charts instantly.

Fast donor creation on the edge

The `create_constituent` tool speeds up your intake forms by letting your Vercel AI SDK agent write new donor profiles directly to Bloomerang. This edge-compatible operation keeps your signup flows incredibly fast without blocking the client-side UI. To prevent stale states in your React application, Vercel AI SDK manages the connection lifecycle automatically. Once the model writes the record, your frontend instantly receives the new Bloomerang constituent ID from the active stream.

Setup guide

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

Use the authProvider option inside createMCPClient to manage your credentials. The SDK passes these tokens securely to the hosted server, allowing your agent to run tools like list_constituents without hardcoding secret keys.

Yes, that is exactly what this setup excels at. You pass the tools from the client into streamText, which lets the agent fetch data via list_transactions and stream the raw JSON directly to your UI.

Always invoke mcpClient.close() when your execution finishes. This prevents open connections from hanging in your Edge Functions when querying get_transaction or creating new donor records.

You control this by selecting which tools you pass from the client into generateText. If you only want to show campaign progress, expose list_campaigns and list_funds while omitting the constituent-level tools.

All donor names, gift histories, and notes fetched via get_constituent are processed in ephemeral V8 isolates. No constituent details or transaction records are ever stored on Vinkius servers, keeping your donor privacy intact.

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