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How to Install Upstash MCP in Cursor

Serverless Redis and Kafka — manage caches, rate limits, and queues via AI with pay-per-use pricing

What Upstash MCP does

Upstash MCP gives AI agents access to serverless Redis and Kafka — perfect for managing caches, rate limiting, queues, and real-time event streaming in serverless applications. Features: Redis: - Get, set, and delete keys with full TTL support - Work with all Redis data types: strings, lists, hashes, sets, sorted sets - Inspect key patterns and database statistics - Manage multiple databases across regions - Flush databases and manage persistence Kafka: - Create and manage topics - Inspect consumer group lag - Monitor throughput and message rates Particularly valuable for applications using Context7 MCP (also by Upstash) — manage the Redis cache powering your documentation layer directly from Claude. Pay-per-request pricing — zero idle cost. Perfect for AI workloads that run intermittently.

upstash
redis
kafka
serverless
cache

Installation steps

  1. 1Copy the config below
  2. 2Open or create .cursor/mcp.json
  3. 3Paste inside "mcpServers": {}
  4. 4Restart Cursor or reload the window

Configuration

File location: .cursor/mcp.json (project) or ~/.cursor/mcp.json (global)

.cursor/mcp.jsonjson
{
  "upstashMcp": {
    "command": "npx",
    "args": [
      "-y",
      "@upstash/mcp-server"
    ],
    "env": {
      "UPSTASH_REDIS_REST_URL": "https://...",
      "UPSTASH_REDIS_REST_TOKEN": "your_token"
    }
  }
}
Full server details GitHub Open Config Editor

Install in other clients

For maintainers

If you maintain Upstash MCP, add this badge to your README to show it's verified on CuratedMCP:

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