Upstash Redis MCP Server for Vercel AI SDK 7 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Upstash Redis through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import { createMCPClient } from "@ai-sdk/mcp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";
async function main() {
const mcpClient = await createMCPClient({
transport: {
type: "http",
// Your Vinkius token. get it at cloud.vinkius.com
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
});
try {
const tools = await mcpClient.tools();
const { text } = await generateText({
model: openai("gpt-4o"),
tools,
prompt: "Using Upstash Redis, list all available capabilities.",
});
console.log(text);
} finally {
await mcpClient.close();
}
}
main();
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About Upstash Redis MCP Server
Connect your Upstash Redis serverless database securely to your conversational AI agent via their REST API. Activating this integration grants your AI the technical autonomy to function as a responsive database administrator, enabling it to scan live keys, read raw datastore strings, set temporal expiration values, and even debug in real-time straight from your chat or IDE terminal.
The Vercel AI SDK gives every Upstash Redis tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 7 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.
What you can do
- Read & Write Values — Fetch the exact string configuration of a stored key (
get), or instruct the AI to inject a new value (set) complete with Time-To-Live (TTL) expiration limits. - Data Structure Discovery — Perform pattern-based scans across your database to track down dynamically generated keys and inspect their underlying structures or lifespans (
list_keys,get_key_info). - Manage Counters — Safely increment or decrement numerical keys dynamically, perfect for managing rate limits, operational counters, or user session metrics directly during troubleshooting flows.
- Maintain Health — Ping the cluster instance for responsive status checks and remove (
delete) specific keys or cache fragments completely.
The Upstash Redis MCP Server exposes 7 tools through the Vinkius. Connect it to Vercel AI SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect Upstash Redis to Vercel AI SDK via MCP
Follow these steps to integrate the Upstash Redis MCP Server with Vercel AI SDK.
Install dependencies
Run npm install @ai-sdk/mcp ai @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the script
Save to agent.ts and run with npx tsx agent.ts
Explore tools
The SDK discovers 7 tools from Upstash Redis and passes them to the LLM
Why Use Vercel AI SDK with the Upstash Redis MCP Server
Vercel AI SDK provides unique advantages when paired with Upstash Redis through the Model Context Protocol.
TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same Upstash Redis integration everywhere
Built-in streaming UI primitives let you display Upstash Redis tool results progressively in React, Svelte, or Vue components
Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency
Upstash Redis + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Upstash Redis MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Upstash Redis in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Upstash Redis tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Upstash Redis capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Upstash Redis through natural language queries
Upstash Redis MCP Tools for Vercel AI SDK (7)
These 7 tools become available when you connect Upstash Redis to Vercel AI SDK via MCP:
delete
Provide a comma-separated list of keys. Deletes one or more keys from Redis
get
Retrieves the string value stored at a key
get_key_info
Retrieves the data type and TTL of a key
increment
Use negative numbers to decrement. Increments or decrements a numeric counter at a key
list_keys
Avoid broad patterns like "*" on large databases. Scans for keys matching a glob pattern
ping
Pings the Redis instance to verify connectivity
set
You can specify expiry in seconds. Sets a string value at a key with an optional TTL
Example Prompts for Upstash Redis in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Upstash Redis immediately.
"List all active Redis keys associated with app sessions."
"Check the Time-To-Live duration limit configured for the 'cache:product_header' key."
"Delete all caching strings tagged as 'user_193_avatar' from the database immediately."
Troubleshooting Upstash Redis MCP Server with Vercel AI SDK
Common issues when connecting Upstash Redis to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpUpstash Redis + Vercel AI SDK FAQ
Common questions about integrating Upstash Redis MCP Server with Vercel AI SDK.
How does the Vercel AI SDK connect to MCP servers?
createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.Can I use MCP tools in Edge Functions?
Does it support streaming tool results?
useChat and streamText that handle tool calls and display results progressively in the UI.Connect Upstash Redis with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Upstash Redis to Vercel AI SDK
Get your token, paste the configuration, and start using 7 tools in under 2 minutes. No API key management needed.