How to Use the Candid (GuideStar) MCP in Vercel AI SDK

Q: Can I generate PDF reports using Candid (GuideStar) in Vercel AI SDK?

Yes, use the getcharitycheckpdf tool to fetch the file binary. You can then stream that data to your frontend for user downloads.

Q: Does Candid (GuideStar) support Vercel AI SDK streaming?

It does. The tools are built to return chunks that your streamText calls handle effortlessly. You see the output as it arrives from the server.

Stream nonprofit financial data directly into your Vercel AI SDK interface for real-time UI updates.

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Connect Candid (GuideStar) MCP to Vercel AI SDK

Create your Vinkius account to connect Candid (GuideStar) 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 Candid (GuideStar) with Vercel AI SDK

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Live nonprofit data in your UI

Pipe `get_nonprofit_essentials` and `get_nonprofit_premier` results straight into your React or Next.js components. Your users watch charity data populate as the stream arrives, skipping the standard loading spinner delay. This MCP Server handles the heavy lifting while your frontend remains responsive. It keeps the data flow clean and typed for your production environment.

Automated compliance checks

Trigger `verify_charity_status` inside your Edge Functions to gate donation flows. You get immediate validation of tax-deductible status before a user finishes their transaction. Everything stays on the edge, reducing latency for your global user base. It turns complex compliance lookups into a simple function call.

Nonprofit research workflows

Build custom search bars using `search_nonprofits` that feed live data to your Vercel AI SDK agents. It makes gathering financial and demographic records feel like a native app feature. Your agents can now pull `get_demographics` or `get_nonprofit_news` on command. It keeps your interface grounded in verified organizational facts.

Setup guide

Set up Candid (GuideStar) 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 Candid (GuideStar) 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 Candid (GuideStar) 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 Candid (GuideStar). 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

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Common questions about Candid (GuideStar) MCP in Vercel AI SDK

You connect via the standard MCP HTTP transport provided by our SDK. Once the connection is live, your agents call tools like `get_nonprofit_essentials` directly from your serverless functions.

Yes, use the `get_charity_check_pdf` tool to fetch the file binary. You can then stream that data to your frontend for user downloads.

It does. The tools are built to return chunks that your `streamText` calls handle effortlessly. You see the output as it arrives from the server.

It is. We use isolated sandboxes for every connection. Your API tokens and client requests stay private and scoped strictly to your session.

This server touches EINs, nonprofit financial records, and tax status documentation. We protect this information using ephemeral session keys that expire immediately after your process finishes.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

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