"Redis" matching MCP servers:

Provides access to Redis databases. This server enables LLMs to interact with Redis key-value stores through a set of standardized tools.

Enables AI assistants to perform comprehensive Redis database operations including managing strings, hashes, lists, sets, sorted sets, TTL management, and data backup/restore. Supports secure connections and provides batch operations for efficient Redis interaction through natural language.

The official Redis MCP Server is a natural language interface designed for agentic applications to efficiently manage and search data in Redis.

Enterprise support ticket system using FastMCP server with Redis for persistent state and multiple clients.

Enables LLMs to safely explore and operate Redis instances, with read-only keyspace inspection, multi-structure data access, memory and big-key analysis, slow query diagnostics, and optional opt-in write operations.

Enables LLMs and AI agents to search a biomedical knowledge graph for concepts and study variables, traverse semantic relationships, and look up BioData Catalyst PIC-SURE paths for cohort building.

Enables LLMs and AI agents to query a biomedical knowledge graph stored in RedisGraph, with tools for concept search, synonym enrichment, and study variable discovery through semantic relationships.

An intelligent memory MCP server that provides AI applications with semantic search, entity extraction, and knowledge graph capabilities using local Redis caching and optional cloud sync. It enables LLMs to store and retrieve long-term context across sessions with high-performance multi-tier storage.

ArcadeDB Multi-Model Database, one DBMS that supports SQL, Cypher, Gremlin, HTTP/JSON, MongoDB and Redis. ArcadeDB is a conceptual fork of OrientDB, the first Multi-Model DBMS. ArcadeDB supports Vector Embeddings.

Stateful outbound TCP/UDP MCP server enabling LLMs to perform multi-step network protocols like HTTP/1.x, SMTP, Redis, and DNS.

Overcomes Claude Code's 200k token context limit by implementing persistent long-term memory using Redis and AI-powered state summarization. Enables seamless checkpoint and resume of project context across sessions.

Persistent memory for AI agents through the Model Context Protocol. MemStack provides tools to store, retrieve, summarize, prune, export, and manage memories using local files, SQLite, Postgres, Redis, or in-memory storage.

BetterDB gives Claude Code, Cursor, Windsurf, and other MCP clients deep observability into Valkey and Redis instances. It implements 22 MCP tools including get_health, get_slowlog, get_commandlog, get_hot_keys, get_anomalies, get_cluster_nodes, get_cluster_slowlog, and get_slot_stats.

Enables AI assistants to manage BullMQ Redis-based job queues through natural language, supporting operations like job monitoring, queue control, and multi-instance Redis connections. Users can add, retry, promote, and clean jobs while accessing detailed job logs and queue statistics directly within the assistant.

Enables MCP agents to request human confirmation for actions via a Telegram bot. It uses a Vercel-hosted proxy and Redis to facilitate secure, real-time YES/NO approvals from a mobile device.

Cohesivity lets AI agents provision and manage infrastructure like postgres, hosting, storage, redis, realtime, etc. and other useful APIs.

An advanced contextual memory server for agent orchestration providing chronological history, semantic vector search via Redis Stack, and temporary scratchpad storage. It also enables context compression through history rollups and facilitates inter-agent communication using a Redis-based Pub/Sub system.

A transport-agnostic MCP seam for messages, context sharing, and task hand-off between humans, chat bots, and coding agents. Supports multiple backends like SQLite, Redis, Matrix, NATS, and XMPP to bridge Claude chat with Claude Code.

A plugin-based MCP server that enables interaction with multiple databases (MySQL, PostgreSQL, MongoDB, SQL Server, Redis) through a unified interface with configurable read/write permissions and independent plugin architecture.

Provides secure filesystem operations, HTTP fetching with SSRF protection, JSON validation, artifact logging, and optional Redis key-value storage through both stdio and HTTP transports. Features production-ready security controls including sandbox enforcement, allowlist validation, and comprehensive input validation.