MCP Redis Server

v2025.4.24

Anthropic (Archived)

MCPcachedatabasemcpmodel-context-protocol
78
Strong
About This MCP

Community-maintained MCP server for Redis cache and data structure operations. Enables AI models to interact with Redis for key-value operations, pub/sub messaging, lists, sets, sorted sets, and hashes. Essential for AI-powered caching strategies, session management, and real-time data workflows.

Last Evaluated: November 9, 2025
Official Website

Trust Vector Analysis

Dimension Breakdown

🚀Performance & Reliability
+
operation speed

Performance benchmarking

Evidence
Redis Performance — Extremely fast in-memory operations (sub-millisecond latency)
highVerified: 2025-11-09
command reliability

Command execution testing

Evidence
Redis Client — Built on official Redis clients with high reliability
highVerified: 2025-11-09
data structure accuracy

Data structure testing

Evidence
Redis Data Types — Accurate handling of strings, lists, sets, sorted sets, and hashes
highVerified: 2025-11-09
connection stability

Connection stability testing

Evidence
Redis Connection Handling — Stable connections with automatic reconnection
mediumVerified: 2025-11-09
pubsub reliability

Pub/sub testing

Evidence
Redis Pub/Sub — Reliable pub/sub messaging with guaranteed delivery to subscribers
mediumVerified: 2025-11-09
🛡️Security
+
authentication security

Authentication mechanism review

Evidence
Redis Security — Supports password authentication and ACLs (Redis 6+)
highVerified: 2025-11-09
connection string exposure

Credential security analysis

Evidence
MCP Security Model — Redis connection string with password stored locally; accessible to AI
highVerified: 2025-11-09
command injection risk

Command injection testing

Evidence
Security Analysis — AI can execute arbitrary Redis commands within ACL permissions
highVerified: 2025-11-09
data deletion risk

Destructive operation testing

Evidence
Redis Commands — AI can delete keys, flush databases if permissions allow
highVerified: 2025-11-09
acl enforcement

ACL enforcement testing

Evidence
Redis ACL — Redis 6+ ACLs provide granular command and key restrictions
mediumVerified: 2025-11-09
audit logging

Audit logging review

Evidence
Redis Monitoring — Limited built-in audit logging; requires external monitoring
mediumVerified: 2025-11-09
🔒Privacy & Compliance
+
cached data exposure

Data flow analysis

Evidence
MCP Data Flow — Cached data including session tokens and user data sent to LLM provider
highVerified: 2025-11-09
session data privacy

Session privacy assessment

Evidence
Privacy Analysis — Session data and user tokens commonly stored in Redis may be exposed
highVerified: 2025-11-09
key pattern exposure

Key privacy assessment

Evidence
Privacy Analysis — Key naming patterns may reveal application structure and data relationships
mediumVerified: 2025-11-09
third party data sharing

Data sharing analysis

Evidence
LLM Provider Policies — Cache content shared with LLM provider per their privacy policy
highVerified: 2025-11-09
ttl data persistence

Data persistence assessment

Evidence
Redis TTL — Temporary data may be captured before expiration
mediumVerified: 2025-11-09
👁️Trust & Transparency
+
documentation quality

Documentation completeness review

Evidence
Redis MCP Docs — Basic documentation but community-maintained with evolving coverage
mediumVerified: 2025-11-09
command visibility

Command logging assessment

Evidence
MCP Protocol — All Redis commands logged in MCP transaction logs
highVerified: 2025-11-09
open source transparency

Source code review

Evidence
GitHub Repository — Open source community implementation
highVerified: 2025-11-09
command coverage clarity

API documentation review

Evidence
MCP Server Documentation — Limited documentation of supported Redis commands
mediumVerified: 2025-11-09
⚙️Operational Excellence
+
ease of setup

Setup complexity assessment

Evidence
Setup Documentation — Simple setup requiring Redis connection URL
highVerified: 2025-11-09
command performance

Performance benchmarking

Evidence
Redis Performance — Extremely fast operations (sub-millisecond for most commands)
highVerified: 2025-11-09
reliability

Reliability analysis

Evidence
Redis Stability — Built on mature Redis clients with high reliability
highVerified: 2025-11-09
command coverage

Feature coverage assessment

Evidence
Redis MCP Server — Covers key-value ops, lists, sets, sorted sets, hashes, and pub/sub
highVerified: 2025-11-09
community support

Community support assessment

Evidence
GitHub Community — Community-maintained with moderate activity
mediumVerified: 2025-11-09
Strengths
  • +Extremely fast sub-millisecond operations for all data types
  • +Comprehensive Redis data structure support (strings, lists, sets, hashes)
  • +Built on official Redis clients with high reliability
  • +Excellent for real-time caching and session management automation
  • +Open source community implementation
  • +Supports pub/sub for real-time messaging patterns
Limitations
  • !Cached data including session tokens exposed to LLM provider
  • !AI can delete keys and flush databases within permission scope
  • !Redis connection strings with passwords accessible to AI
  • !Session data and user tokens commonly stored in Redis may be exposed
  • !Limited built-in audit logging capabilities
  • !Key naming patterns may reveal application architecture
Metadata
license: MIT
supported platforms
0: All platforms with Node.js/Python
programming languages
0: TypeScript
1: Python
mcp version: 1.0
github repo: https://github.com/modelcontextprotocol/servers
api dependency: Redis client libraries (ioredis, redis-py)
authentication: Redis password, ACLs (Redis 6+)
first release: 2024-11
maintained by: Community

Use Case Ratings

code generation

Good for generating caching logic and Redis integration code

customer support

Useful for analyzing session data and user activity patterns

content creation

Limited applicability; mainly for cached content management

data analysis

Excellent for analyzing real-time data and cache performance metrics

research assistant

Useful for researching caching strategies and data patterns

legal compliance

High risk of exposing cached sensitive data; requires strict controls

healthcare

High risk of exposing patient session data; not recommended

financial analysis

Moderate risk; cached financial data exposure concerns

education

Excellent for teaching caching, in-memory databases, and real-time systems

creative writing

Limited applicability for writing workflows