How to Use the ElectricSQL (Sync Engine) MCP in Vercel AI SDK

Get real-time Postgres data directly into your Vercel AI SDK frontend without the lag of traditional polling.

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Connect ElectricSQL (Sync Engine) MCP to Vercel AI SDK

Create your Vinkius account to connect ElectricSQL (Sync Engine) 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 ElectricSQL (Sync Engine) with Vercel AI SDK

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Claude

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Live Postgres data in your AI SDK UI

Stream database shapes straight into your components using `get_shape`. Your users watch data populate as the agent finishes its work. This MCP Server eliminates the need for middleman API routes. Your frontend handles the stream directly from the sync engine.

Targeted data fetching for Vercel AI SDK

Send specific subset requests via `post_shape` to narrow down the dataset. This keeps your memory usage predictable during heavy streaming sessions. Only pull the records your agent actually needs. It keeps the payload tight and the response time fast.

Efficient MCP Server state management

Close your connection using `mcpClient.close()` once the data stream finishes. It prevents hanging processes on your edge functions. Proper lifecycle management ensures you don't leak memory. Your app stays fast and your database connections remain clean.

Setup guide

Set up ElectricSQL (Sync Engine) 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 ElectricSQL (Sync Engine) 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 ElectricSQL (Sync Engine) transactions",
});

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

Get your connection token →

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Common questions about ElectricSQL (Sync Engine) MCP in Vercel AI SDK

Use the MCP client transport to connect to your sync endpoint. Pass the tools directly into your `streamText` configuration to start pulling shapes immediately.

Yes, it is fully compatible. The lightweight transport allows you to fetch Postgres data within the constraints of edge runtime environments.

It provides the raw data stream which you can pipe into your React hooks. You control the state transitions as the data arrives from Postgres.

You need to implement your own retry logic within the client. The server handles the shape retrieval, but your app must manage the network stability.

The server only exposes the shapes you explicitly define. It restricts access to raw table rows, ensuring the AI client only sees what you authorize.

Use it with your favorite AI tools

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