How to Use the Upstash MCP in Mastra AI

Q: How do I check key existence when building a flow with Upstash and Mastra AI?

You use the exists tool. It's a non-invasive way to verify if data is there before your workflow attempts to read it, preventing errors and improving execution reliability.

Q: Does the MCP Server support managing scheduled or temporary data with Mastra AI?

Yes. The expire tool lets you set a Time-To-Live (TTL) on any key in Upstash Redis. This means the record automatically vanishes after a specified time, keeping your database clean.

Q: Can I list all keys to debug my workflow using Upstash and Mastra AI?

You can use listkeys, optionally with a prefix filter. Keep in mind that listing large key sets can slow down the process, so use this sparingly during development.

Q: What is the best way to update multiple related records? Upstash and Mastra AI

For updating many fields at once, hset is your friend. It handles both creating a new hash and overwriting an existing field gracefully. You'll get confirmation of how many fields were added or modified.

Build resilient workflows with Mastra AI using Upstash for state management.

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Managing State in Workflows with the MCP Server

Need to track a running counter during a multi-step process? Use `incr` to increment a numeric value. The workflow gets the new count back, allowing for conditional branching based on state changes. For data that needs to persist across steps, you can use `set` to store a value in Upstash Redis. This primary write operation ensures the next step has the necessary starting point.

Reading and Writing Complex Data Structures via Mastra AI

When handling user profiles or complex objects, you'll use hashes. The `hset` tool lets your workflow update a single field (e.g., 'email') without touching others, while `hgetall` pulls the entire object for review. Working with ordered events? You can push messages to lists using `rpush`. This action returns the new length of the list, which is useful for sequencing or logging steps within your workflow.

Executing Atomic Database Commands in Mastra AI

When several database operations must succeed together—like debiting an account and updating a record—use `pipeline`. It sends all commands as a batch, ensuring the results are returned in the correct sequence. If failure is not an option, look into using transaction management. The pipeline allows you to execute multiple commands with careful review before they run.

Setup guide

Set up Upstash MCP in Mastra AI

Prerequisites

Node.js 18+ and a TypeScript project
@mastra/mcp + @mastra/core packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run npm install @mastra/mcp @mastra/core plus your preferred model provider (e.g. @ai-sdk/openai).
2

Configure the MCPClient
Create an MCPClient with your Vinkius endpoint as a URL object. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and inject tools
Call mcpClient.listTools() and spread the result into your agent's tools object. All Upstash tools become native Mastra tools.
4

Run with any model
Swap openai("gpt-4o") for any AI SDK-compatible provider. Call agent.generate() and the agent routes tool calls through MCP automatically.

agent.ts

import { MCPClient } from "@mastra/mcp";
import { Agent } from "@mastra/core/agent";
import { openai } from "@ai-sdk/openai";

const mcpClient = new MCPClient({
  id: "upstash-mcp-client",
  servers: {
    "upstash-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

const agent = new Agent({
  name: "Upstash Agent",
  model: openai("gpt-4o"),
  instructions: "You have access to Upstash tools.",
  tools: {
    ...(await mcpClient.listTools()),
  },
});

const result = await agent.generate(
  "List recent Upstash transactions"
);
console.log(result.text);

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Common questions about Upstash MCP in Mastra AI

You use the `exists` tool. It's a non-invasive way to verify if data is there before your workflow attempts to read it, preventing errors and improving execution reliability.

Yes. The `expire` tool lets you set a Time-To-Live (TTL) on any key in Upstash Redis. This means the record automatically vanishes after a specified time, keeping your database clean.

You can use `list_keys`, optionally with a prefix filter. Keep in mind that listing large key sets can slow down the process, so use this sparingly during development.

For updating many fields at once, `hset` is your friend. It handles both creating a new hash and overwriting an existing field gracefully. You'll get confirmation of how many fields were added or modified.

This server touches strings, hashes, lists, sets, and numeric integers.

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