How to Use the Fauna (Serverless DB) MCP in Vercel AI SDK

Q: Does Fauna (Serverless DB) work with Vercel AI SDK streaming?

Yes. Results from executefql stream over the same transport as your text tokens. Your UI updates as soon as the query completes.

Stream live database updates from Fauna (Serverless DB) directly into your UI components using the Vercel AI SDK.

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Connect Fauna (Serverless DB) MCP to Vercel AI SDK

Create your Vinkius account to connect Fauna (Serverless DB) 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 Fauna (Serverless DB) with Vercel AI SDK

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Real-time FQL execution in Vercel AI SDK

The `execute_fql` tool pushes query results straight into your streaming interface. You skip the middleman and get data flowing into your React or Next.js components as the agent finishes its work. Your users watch the data arrive in real-time. It's built for apps that need immediate feedback without waiting on spinners or background refresh cycles.

Edge-ready database connections

Connect your Fauna (Serverless DB) instance to Edge Functions without overhead. The SDK handles the transport layer, keeping your cold-start times low and your data access fast. Keep your logic close to the user. You define the query, the agent runs it, and the UI updates instantly.

Typed data handling for UI components

Inject structured query results directly into your frontend state. Your AI client manages the response shape, allowing you to map database records to your UI components with minimal glue code. Stop writing custom API routes for simple database interactions. The MCP server bridges the gap between your data and your view layer.

Setup guide

Set up Fauna (Serverless DB) 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 Fauna (Serverless DB) 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 Fauna (Serverless DB) transactions",
});

console.log(text);
await mcpClient.close();

Get your connection token →

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Why Choose Vinkius

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Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

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Common questions about Fauna (Serverless DB) MCP in Vercel AI SDK

Install the MCP package and initialize the client with your Vinkius endpoint. Pass the tools directly into your `streamText` function to give your agent access to your data.

Yes. Results from `execute_fql` stream over the same transport as your text tokens. Your UI updates as soon as the query completes.

It is designed for the edge. Use the HTTP transport to keep your database operations fast and compliant with environment constraints.

You control access via the endpoint token provided by Vinkius. Scope your FQL queries to ensure the agent only modifies authorized collections.

Your data stays in your Fauna instance. The connection is ephemeral, and we use token-based authentication to lock down every single request.

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