Let AI agents debug your Valkey/Redis
MCP server for Valkey monitoring when generic database MCP tools already exist.
Web client for Valkey/Redis databases
pgweb for Redis—all data types, auto-decompression, but addresses a solved problem.
Backend engineers managing Redis/Valkey instances without CLI-only workflows
pgweb · Redis Commander · RedisInsight
Each data type has its own editor: strings, hashes, lists, sets, sorted sets, streams, HyperLogLog, and geo with a map view. You can search keys with glob or regex, filter by type, browse them as a tree, and bulk delete. It auto-detects compressed values (gzip, zstd) and decompresses them for display. Changes show up live via WebSocket keyspace notifications, and there's a built-in command console if you need to run something ad-hoc. Screenshots at kvweb.dev
MCP server for Valkey monitoring when generic database MCP tools already exist.
Redis hosting, but Upstash and Redis Cloud already own this space.
Persists Redis/Valkey's ephemeral observability data with rigorous interleaved benchmarking proving sub-1% overhead.
Django-style Redis ORM with timely Valkey support and AI agent memory primitives.
Slowlog persistence solves real Redis pain—captures every entry before rotation, no VPC peering required.
JSON viewer with table view when JSONLint and browser DevTools already exist.