"Redis MCP server or integration" matching MCP servers:

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

The Redis Cloud API MCP Server provides an MCP Server for Redis Cloud's API, allowing you to manage your Redis Cloud resources using natural language.

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

MCP server that exposes Redis API to AI models

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.

Lightweight MCP server for Redis that allows running any Redis command and searching Redis documentation. Supports multiple named databases with HTTP/REST or TCP transport.

A safe, connection-efficient Redis MCP server that provides tools for reading and managing Redis data, with safeguards like confirmation requirements for destructive operations.

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

Enables clients to inspect and operate many Redis deployments at once — standalone, Redis Cluster, or Sentinel-managed — through a single endpoint, with 54 tools grouped into core, data, JSON, search, pub/sub, and docs toolsets. It supports read-only and destructive-tool switches, per-cluster isolation, secret-backed passwords, bounded 15-second calls, and Streamable HTTP or stdio transport.

Enables MCP clients to execute Redis commands and bounded/paged reads against selected logical databases per request, with multi-instance configuration and read-only or read-write permissions.

A secure Redis MCP server built with Node.js and TypeScript, enabling MCP hosts like Claude Desktop to safely access Redis through standardized tools.

MCP server for Redis interaction with dynamic connection setup and management.

Zero-config MCP server that empowers AI agents to safely query SQL and NoSQL databases like PostgreSQL, MySQL, SQLite, MongoDB, and Redis.

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

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 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.

Gives AI agents strictly read-only query access to PostgreSQL, Oracle, Cosmos DB, Blob Storage, Log Analytics, and Redis, returning each query as a paged or downloadable result set in Parquet or NDJSON rather than inline rows.

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.

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.

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.

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

Enables users to perform Redis database operations using the Model Context Protocol (MCP) tools, allowing for efficient data management through commands like setting, getting, and scanning hash fields.

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

This read-only MCP Server allows you to connect to Redis data from Claude Desktop through CData JDBC Drivers. For full CRUD support, check out the first managed MCP platform: CData Connect AI (https://www.cdata.com/ai/).

Enables execution of Snowflake stored procedures through the MCP server by providing a framework to define, manage, and call procedures from specific schemas or individual procedures.

A security-first, read-only MCP server for AI assistants to safely query MySQL, PostgreSQL, and Redis with layered safety checks.

A Node.js MCP server that loads and manages decision trees from .rtdq files and provides basic to-do list functionality using Redis for storage.

Enables key-value storage operations using multiple backends (memory, filesystem, redis, MongoDB, HTTP) via MCP tools like get, set, and list.

Enables Claude Code to inspect and query PostgreSQL, MySQL/MariaDB, IBM Db2, SQLite, and Redis through a small set of tools, with per-connection permission checks, SQL and Redis command guarding, result limits and masking, and audit logging.

Provides a unified MCP server to interact with multiple middleware (Loki, MySQL, Redis, RocketMQ, Elasticsearch, MongoDB) through a desktop application for connection management and configuration export.

Enables MCP clients to store, retrieve, delete, and list keys in a Redis cache, including optional expiry and glob-pattern key listing.

A secure MCP server for connecting AI assistants to MySQL, Redis, and MongoDB with preconfigured connections, runtime protections, and graded security modes.

A server that provides Claude with Redis database access and operations through a set of tools for basic operations, lists, hashes, sets, and pub/sub functionality.

Enables AI assistants to diagnose a Python backend stack — Postgres, Celery, Redis and logs — in a single tool call, returning findings, a merged timeline of events, and possible cause-effect chains. All checks are strictly read-only, so an assistant can inspect blocked queries, missing workers, queue backlogs, Redis memory pressure and log error spikes without ever modifying anything.

MCP server for connecting to databases (PostgreSQL, MySQL, SQL Server, Redis) enabling SQL queries, table exploration, and Redis key-value operations.

Provides universal database operations for AI assistants through MCP, supporting 40+ databases including PostgreSQL, MySQL, MongoDB, Redis, and SQLite with built-in introspection tools for schema exploration.

Exposes get, set, and delete operations over a Redis/Valkey-compatible key-value store as MCP tools, with per-user key namespacing and TTL support on writes. Enables clients to cache and retrieve arbitrary string values statelessly over SSE or direct HTTP, using their own backend.

MCP server for multiple databases (PostgreSQL, MySQL, MariaDB, SQLite, MongoDB, Redis) with tools for schema inspection, querying, performance diagnostics, and safe write operations, featuring access modes, PII masking, and audit logging.

Enables an MCP broker to store, scan, retrieve, update, and delete TTL-bound values addressed by UNS id, using shared memory or Redis stores and per-id broker access checks.