Upstash MCP Server
Officialby Upstash
Upstash's official MCP server lets AI assistants manage your Redis databases through natural language. Instead of switching between your AI coding environment and the Upstash Console, you tell Claude or ChatGPT to create a database, run commands, check stats, or configure backups — and the MCP server translates that into Upstash Developer API calls. The server exposes a focused set of Redis operations: create and delete databases, execute single or batch Redis commands, pull usage statistics, manage daily backups, update regions, and reset credentials. It connects via stdio transport for local MCP clients or HTTP transport for web-based integrations. Authentication uses your Upstash email and API key from the Upstash Console. Once configured, your AI assistant has full programmatic access to your Redis infrastructure without you touching a dashboard. The practical value is clearest in development workflows. You're building a feature, realize you need a new Redis cache, and instead of context-switching to a browser, you say 'create a Redis database in us-east-1' and keep coding. Need to debug a cache issue? Ask the assistant to run GET/SET commands directly. Want to check if your rate limiter is working? Pull stats without leaving your editor. Currently limited to Redis operations — no QStash, Vector, or Kafka support yet. But for teams already using Upstash Redis, this removes a significant amount of dashboard friction from daily development.
Installation
Key Features
- ✓Create, delete, and manage Redis databases through natural language
- ✓Execute single or batch Redis commands directly from your AI assistant
- ✓Pull real-time database statistics and usage metrics
- ✓Configure and manage daily backups without touching a dashboard
- ✓Multi-region database management and region updates
- ✓Supports both stdio and HTTP transport for local and web-based MCP clients
Use Cases
- →Spin up Redis caches during development without leaving your IDE
- →Debug cache issues by running GET/SET/HGETALL commands through your AI assistant
- →Monitor database performance and usage patterns via natural language queries
- →Automate backup configuration across multiple Redis instances
- →Manage multi-region Redis deployments from a single conversation