"Redis" matching MCP servers:

Enables exploring and diagnosing a Redis instance from MCP clients with read-only safety, using SCAN instead of KEYS for safe key enumeration.

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

A lightweight npm MCP server for deep Redis diagnostics, offering tools for memory, slowlog, clients, keyspace, latency, and config analysis with AI-powered recommendations.

FastMCP server with read-only tools to monitor Redis — queue depths, Celery queue status, connected clients, server/memory info, and per-database key counts

Enables safe, read-only interaction with Redis databases via cursor-based tools for retrieving keys, hashes, lists, sets, and sorted sets, backed by ACL DRYRUN-verified privilege checks.

Enables AI to safely view and operate Redis databases with read-only mode by default and support for key operations.

Enables AI agents to manage and search data in Redis using natural language. Supports hashes, lists, sets, sorted sets, streams, JSON, and vector search.

MCP server that exposes Redis API to AI models

Read-only Redis MCP server with a configurable command allowlist for safe production diagnostics, enabling exact read-only subcommands like CLIENT LIST and SLOWLOG GET.

MCP server for Redis with data operations, permission control, and operation logging. Supports key management, dynamic tool lists, and auto-reconnection.

A Model Context Protocol (MCP) server for Redis. Connect to any Redis instance and execute queries through AI assistants.

Provides comprehensive Redis database operations supporting all major data types (strings, lists, sets, hashes, sorted sets) with full CRUD functionality through natural language commands.

An MCP server that provides read-only access to Sedis Bolagsanalys and Fastighetsbenchmark data via natural language, enabling AI assistants to query Swedish listed-company financials and real-estate comparables.

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.

Enables AI coding agents to instantly provision ephemeral developer infrastructure like Postgres, Redis, MongoDB, and container deployments over HTTPS, with no Docker or signup required for the free anonymous tier.

An MCP server that lets an agent inspect and operate Redis-backed job queues, supporting Asynq and BullMQ backends with per-state counts, job details, and state transitions.

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.

A multi-database MCP server with OAuth 2.0 authentication and granular access control, enabling secure connections to multiple database types (SQLite, MySQL, PostgreSQL, MongoDB, Redis) with configurable read/write permissions and tool filtering.

Governed Redis + RabbitMQ middleware operations — memory-pressure, latency, backlog, and churn RCA, with guarded queue/key writes, unbypassable audit logging (MCP + CLI), budget/runaway guards, dry-run, and undo/rollback.