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How to Use the Upstash MCP in Vercel AI SDK

Real-time data updates in your UI using Vercel AI SDK and Upstash.

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…and any MCP-compatible client

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Vercel AI SDK

Connect Upstash MCP to Vercel AI SDK

Create your Vinkius account to connect Upstash 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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Streaming Redis Data with the MCP Server

Need to show live counter updates? You can use the `incr` tool to increment a numeric value in Upstash Redis. The result streams directly into your UI, letting users see the count increase instantly without needing a loading spinner. We also offer simple reads with `get`, which pulls string data from Upstash Redis. This works great for displaying real-time status updates as they happen.

Handling Complex Data Structures via Vercel AI SDK

Managing structured records is easy. Use `hset` to update specific fields within a hash in Upstash Redis, or run `hgetall` to grab every field and its value at once. This pattern keeps related data grouped together for fast client access. For lists of items, you can push new values using `lpush` (left) or `rpush` (right). You'll get the updated length back immediately, which is perfect for building live feeds.

Atomic Operations with Upstash MCP Server

When multiple actions must happen together, use `pipeline`. This tool sends a batch of commands—like setting a key and then reading it—and returns all results in order. Remember to review your command array carefully before running this powerful function. If you need absolute certainty that several commands execute without interruption, look into the `/multi-exec` method. It ensures atomicity across multiple operations within Upstash.

Setup guide

Set up Upstash 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. 1

    Install dependencies

    Run npm install ai @modelcontextprotocol/sdk plus your preferred model provider (e.g. @ai-sdk/openai).

  2. 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. 3

    Discover and use tools

    Call mcpClient.tools() to auto-discover all Upstash tools. Pass them directly to generateText() or streamText() — no manual schema definitions needed.

  4. 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 Upstash transactions",
});

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

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Upstash. 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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Real-time monitoring

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visibility into every interaction

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

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Upstash MCP in Vercel AI SDK

You use the `exists` tool to check if a specific key is present in Upstash Redis. This is lightweight because it doesn't retrieve the actual value, making it fast to run before attempting any read or write operation.
The Upstash MCP Server supports multiple structures. You're dealing with basic strings, complex hashes (using `hset` and `hgetall`), lists (`lpush`, `rpush`), and sets (`sadd`).
Yes, you can manage Time-To-Live (TTL) directly. The `expire` tool allows you to automatically delete a key after a set time period. You'll get confirmation that the timeout was applied when it succeeds.
Absolutely. The `sismember` tool provides an O(1) lookup, which means checking if a member exists in a Redis set is incredibly fast. This is ideal for filtering or validating user IDs.
This server touches multiple types of data, including strings, hashes, lists, and sets.

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