How to Use the NeonCRM MCP in Vercel AI SDK

Q: Can Vercel AI SDK stream NeonCRM donation histories?

Yes. When your agent calls listdonations, the SDK streams the text and tool results back to the client. The user sees the donor record building in the UI.

Build live donor management UIs by streaming NeonCRM data directly into your React apps with Vercel AI SDK.

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…and any MCP-compatible client

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Connect NeonCRM MCP to Vercel AI SDK

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

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Render CRM data in real-time

This MCP Server connects your Vercel AI SDK frontend directly to non-profit operations via `list_donations` and `get_account`. When a user types a query about a major donor, the SDK streams the API response straight to the browser. You don't wait for the entire payload to resolve. Next.js developers can build custom dashboards for gift officers without writing backend boilerplate. Call `get_crm_event` and watch the guest list populate in your Svelte component as the LLM parses the data. It feels instantly responsive.

Connect your MCP Server to React

Your application talks to the Vinkius MCP Server using the `createMCPClient` method. You pass the transport URL, fetch the available tools, and hand them to `streamText`. The agent decides when to fire `list_grants` or `list_memberships` based on user input. Edge functions handle the routing perfectly. If an event coordinator wants to see who registered for the upcoming gala, the agent triggers `list_crm_events` and streams the JSON array back. You map those results to your UI components while the user watches.

Map custom non-profit fields

Every non-profit tracks data differently. The `list_custom_fields` tool exposes those unique configurations to your agent. Your AI client reads the schema and knows exactly how to query specific donor segments. Combine this with `list_contacts` to build hyper-specific outreach lists. The SDK handles the asynchronous tool calls in the background. Your users just see a clean, typed interface updating with the right names and numbers.

Setup guide

Set up NeonCRM 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 NeonCRM 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 NeonCRM 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 NeonCRM. 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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Real-time monitoring

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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

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place for every integration

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Common questions about NeonCRM MCP in Vercel AI SDK

Install @ai-sdk/mcp. Call createMCPClient with your HTTP transport URL. Fetch the tools with mcpClient.tools() and pass them to your generation function.

Yes. When your agent calls list_donations, the SDK streams the text and tool results back to the client. The user sees the donor record building in the UI.

The endpoint is fully compatible with Edge environments. You just need to ensure you close the client connection with mcpClient.close() after the request finishes.

Vinkius manages the backend OAuth. You supply a single endpoint token to your transport configuration. The server handles the actual CRM handshake.

We isolate your runtime in a V8 sandbox. When your agent pulls PII using list_contacts or get_donation, the data flows through an ephemeral container. Nothing persists after the connection drops.

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