How to Use Redis MCP with Claude Code

Inspect and manipulate Redis keys, debug caching issues, analyze memory usage, and test pub/sub patterns directly from Claude Code.

rediscachingdatabaseperformanceclaude-code

What is the Redis MCP?

The Redis MCP connects Claude Code to any Redis-compatible instance — including Redis Stack, Valkey, and cloud-hosted Redis services. Claude can get, set, and delete keys, inspect data structures, analyze memory, and debug caching logic without switching to a separate Redis GUI.

Installation

mcpizy install redis

Provide your Redis connection URL (e.g., redis://localhost:6379 or rediss://user:password@host:6380) during setup. TLS connections are fully supported.

Key Capabilities

Get, set, and delete keys — read and write any Redis data type (strings, hashes, lists, sets, sorted sets, streams).
Inspect TTLs and key patterns — scan namespaces and find keys that are expiring unexpectedly.
Analyze memory usage — identify large keys consuming excessive memory with MEMORY USAGE.
Debug Lua scripts — test scripts against real data before deploying them.
Monitor pub/sub channels — publish test messages and verify subscribers receive them.

Example Usage

Your API is returning stale data. Ask Claude to investigate the cache:

// Claude will:
// 1. KEYS user:* — list all user cache keys
// 2. TTL user:12345 — check when the problematic key expires
// 3. GET user:12345 — inspect the cached value
// 4. Identify if the value is outdated and suggest a cache invalidation strategy

Tips and Best Practices

Avoid using KEYS * on production — use SCAN with a cursor instead to avoid blocking the server.
Use key namespacing (e.g., session:user:id) so Claude can filter keys logically.
Combine with your Postgres MCP to compare cached values against the source of truth in your database.
For Redis Stack users, ask Claude to use RediSearch for complex query patterns on indexed data.

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Key Capabilities

Get, set, and delete keys — read and write any Redis data type (strings, hashes, lists, sets, sorted sets, streams).

Inspect TTLs and key patterns — scan namespaces and find keys that are expiring unexpectedly.

Analyze memory usage — identify large keys consuming excessive memory with MEMORY USAGE.

Debug Lua scripts — test scripts against real data before deploying them.

Monitor pub/sub channels — publish test messages and verify subscribers receive them.

Example Usage

Your API is returning stale data. Ask Claude to investigate the cache:

// Claude will: // 1. KEYS user:* — list all user cache keys // 2. TTL user:12345 — check when the problematic key expires // 3. GET user:12345 — inspect the cached value // 4. Identify if the value is outdated and suggest a cache invalidation strategy

Tips and Best Practices

Avoid using KEYS * on production — use SCAN with a cursor instead to avoid blocking the server.

Use key namespacing (e.g., session:user:id) so Claude can filter keys logically.

Combine with your Postgres MCP to compare cached values against the source of truth in your database.

For Redis Stack users, ask Claude to use RediSearch for complex query patterns on indexed data.