# Upstash MCP Server

> Serverless data platform MCP server providing low-latency Redis and Kafka integration with per-request pricing, scaling to zero when not in use, perfect for variable workload MCP implementations.

- **URL:** https://upstash.com/blog/mcp-with-redis
- **Category:** Database & Messaging Mcp Servers
- **Tags:** Serverless, Redis, Kafka
- **Featured:** yes
- **Updated:** 2026-03-07 18:55
- **Canonical page:** https://mcpserver.ever.works/items/upstash-mcp-server

## Details

## Overview

Upstash provides an MCP Server for Upstash Developer API's, enabling integration with their serverless data platform. Upstash is a serverless data platform providing low latency and high scalability for real-time applications, offering Redis, Vector Database, QStash, and Workflow APIs.

## Serverless Redis and Kafka

### Redis
- Serverless database with Redis API
- Fully managed, scales to zero when not in use
- Perfect for MCP implementations with variable workloads
- Per-request pricing model

### Kafka
- Serverless Kafka with built-in REST API
- Enables connectionless environments like AWS Lambda, Cloudflare Workers, Fastly Compute@Edge
- Serverless messaging for AI workflows

## Key Features

- **Low Latency**: Optimized for real-time applications
- **High Scalability**: Automatically scales based on demand
- **Zero Scaling**: Scales to zero when not in use
- **Per-Request Pricing**: Pay only for what you use
- **REST API**: Built-in REST API for Kafka
- **Multiple APIs**: Redis, Vector Database, QStash, and Workflow APIs

## MCP Integration

With Upstash Redis, you get a fully managed, serverless Redis that scales to zero when not in use, making it ideal for:
- Fast, cost-effective MCP implementations
- Variable workload AI applications
- Serverless AI agent state management
- Real-time data caching for LLMs

## Platform Integrations

- AWS Lambda
- Cloudflare Workers
- Fastly Compute@Edge
- Other serverless environments

## Use Cases

- AI agent state management
- Real-time data caching
- Message queuing for AI workflows
- Serverless vector storage
- Cost-effective MCP server infrastructure
- Variable workload optimization

## Pricing

Serverless Redis and Kafka as a service with per-request pricing, scaling to zero when not in use.

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