mcp-redis-diagnostics

[](https://www.npmjs.com/package/mcp-redis-diagnostics) [](https://opensource.org/licenses/MIT)

MCP server for Redis diagnostics — analyze memory usage, slowlog, client connections, and keyspace health with AI-powered recommendations.

Most Redis MCP servers are CRUD wrappers (get/set keys). RedisNexus offers diagnostics but targets enterprises (K8s, multi-tenant SaaS). This tool is the only lightweight npm package for deep Redis diagnostics — 7 tools covering memory fragmentation, slowlog patterns, client connection health, keyspace distribution, latency analysis, and configuration auditing. Install with npx, no Docker or SaaS required.

Analyze Redis memory usage and fragmentation.

Detects:

• High memory fragmentation (>1.5x RSS/used ratio)
• Swap risk (fragmentation <1.0)
• Maxmemory pressure (approaching limit)
• Eviction patterns
• Missing maxmemory configuration
• Unsafe noeviction policy

Analyze Redis SLOWLOG for slow commands.

Parameters:

• count (number, default: 128) — Number of slowlog entries to retrieve

Detects:

• Dangerous O(N) commands: KEYS, SMEMBERS, HGETALL, SORT
• High latency commands (>10ms, >100ms thresholds)
• Command concentration patterns
• Full slowlog buffer (missing history)

Analyze Redis client connections.

Detects:

• Blocked clients (BLPOP/BRPOP)
• Connection pool saturation (>80% maxclients)
• Idle connections (>5 minutes)
• Large output buffer memory
• Pub/sub subscriber patterns

Analyze Redis keyspace distribution and cache effectiveness.

Detects:

• Low TTL coverage (<20% of keys)
• Low cache hit rate (<80%)
• Unbalanced database distribution
• High expiry/eviction rates
• Multiple database anti-pattern