How to Use the Upstash Redis MCP in Vercel AI SDK

Q: How fast is the connectivity test with Upstash Redis and Vercel AI SDK?

You just call ping. The tool verifies that the connection to the Upstash Redis instance works right away, giving you immediate feedback on stability before running complex queries.

Q: If I need to delete data with Upstash Redis and Vercel AI SDK, what is the safest method?

Use delete by passing a comma-separated list of specific keys. Never try to clear everything; always specify exactly which keys you want gone.

Stream live data results from Upstash Redis directly into your Next.js UI with the Vercel AI SDK.

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Connect Upstash Redis MCP to Vercel AI SDK

Create your Vinkius account to connect Upstash Redis 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 Upstash Redis with Vercel AI SDK

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Manage simple key-value lookups

The `get` tool lets you pull a string value using a specific key. This means when your user prompts the AI, it can check up data in Upstash Redis and hand that info back to your frontend immediately. You also use `set` to write new data. You control this process because you can set an expiration time (TTL) directly on the key.

Track metrics and counters

Need to count something? The `increment` tool handles numeric counters in Upstash Redis, letting you increase or decrease a value. Your AI client just calls it, and your counter updates live. It's useful for things like tracking how many times a user has viewed a product page, without needing an entire backend endpoint.

Check key details quickly

The `get_key_info` tool shows you the data type and Time-To-Live (TTL) for any given key in Upstash Redis. This is great for debugging or verifying if a record is about to expire. You can pair this with `delete` to remove keys after they're no longer needed, keeping your database clean.

Setup guide

Set up Upstash Redis 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 Upstash Redis 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 Upstash Redis 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 Upstash Redis. 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.

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Common questions about Upstash Redis MCP in Vercel AI SDK

You pass the MCP Server URL directly into your client setup. Then, you call `mcpClient.tools()` to make the available tools visible to the streaming function.

The primary data type is a string value. You manage metadata like TTL using `get_key_info`, and you use specialized tools for numeric counters via `increment`.

Yep. Since it exposes standard key-value operations, your agent client treats it like any other service. It's easy to call methods like `get` or `set` directly from your streamed logic.

You just call `ping`. The tool verifies that the connection to the Upstash Redis instance works right away, giving you immediate feedback on stability before running complex queries.

Use `delete` by passing a comma-separated list of specific keys. Never try to clear everything; always specify exactly which keys you want gone.

Use it with your favorite AI tools

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