Redis is an open-source, in-memory data structure store used as a database, cache, message broker, and streaming engine.
Why this server?
Enables management of Redis Cloud resources, including account management, subscription management (Pro and Essential), database capabilities configuration, cloud provider selection, and task monitoring through the Redis Cloud API.
Why this server?
Allows interaction with Redis databases, including creating new databases, running Redis commands, listing databases, managing backups, and viewing usage statistics.
Why this server?
Supports Redis integration for caching stamp data in backend services to improve performance of stamp-related applications.
Why this server?
Provides comprehensive Redis database management through natural language, supporting strings, hashes, lists, sets, sorted sets, streams, JSON documents, vector search, and pub/sub functionality.
Why this server?
Planned future support for checking Redis connectivity and health status
Why this server?
Uses Redis for caching, session management, and as a message broker for task processing
Why this server?
Provides access to Redis database operations through a Model Context Protocol (MCP) server. Includes tools for various Redis commands such as HMSET, HGET, HGETALL, SCAN, SET, GET, DEL, ZADD, ZRANGE, ZRANGEBYSCORE, ZREM, SADD, and SMEMBERS.
Why this server?
Provides access to historical solutions for Redis connection pooling problems
Why this server?
Supports implementation of Redis caching for API optimization and frequently accessed data in applications.
Why this server?
Enables caching and data structure operations through Redis integration, supporting high-performance data access for tools and workflows
Why this server?
Optional integration with Redis for performance caching, improving response times when retrieving Yandex Tracker data.
Why this server?
Supports implementation of Redis caching for applications, allowing setup and configuration of caching with specified TTL values
Why this server?
Used as an optional cache layer for improved performance in Phase 3 of the OPNSense MCP server
Why this server?
Monitors Redis health status as part of the Tiptap collaboration service infrastructure health checks
Why this server?
Offers specialized monitoring capabilities for Redis databases, including performance metrics and dashboard creation.
Why this server?
Implements caching functionality for the project tracker API, improving performance for frequently accessed project and task data
Why this server?
Uses Redis for session storage in production environments, providing persistence across server restarts and distributed state management
Why this server?
Listed as a supported data source in the compatibility table, enabling access to Redis data.
Why this server?
Listed as a supported data source for integration through the CData JDBC driver.
Why this server?
Provides read access to Redis in-memory data structure store information through SQL interfaces, enabling natural language querying of key-value data.
Why this server?
Provides querying capabilities for Redis database data through SQL models.
Why this server?
Allows querying of Redis data by exposing Redis as a relational SQL model, enabling access to live Redis data through natural language queries without requiring SQL knowledge.
Why this server?
Listed as a supported data source for accessing Redis in-memory data structure store.
Why this server?
Enables SQL-like access to Redis key-value stores.
Why this server?
Allows SQL-based access to Redis in-memory data structures.
Why this server?
Listed as a supported data source for integration, allowing access to Redis data through the MCP server.
Why this server?
Allows querying Redis key-value store data through SQL.
Why this server?
Allows SQL-based querying of Redis key-value store data
Why this server?
Allows querying of Redis database data through relational SQL models.
Why this server?
Enables SQL-based access to Redis in-memory data structure store.
Why this server?
Allows querying of Redis data by exposing it as relational SQL models through the CData JDBC Driver.
Why this server?
Enables access to Redis in-memory data store data through relational SQL models, with tools for listing tables, retrieving column information, and executing SQL queries.
Why this server?
Listed as a supported data source that can be accessed through the CData JDBC driver, allowing for data retrieval from Redis in-memory data store.
Why this server?
Listed as a supported data source that can be connected to through the CData JDBC driver.
Why this server?
Provides SQL-based access to Redis key-value stores, transforming Redis data into a relational format.
Why this server?
Allows querying Redis key-value stores through SQL interfaces.
Why this server?
Provides access to Redis in-memory data structure store data through SQL-based tools for listing tables, retrieving column information, and executing SELECT queries.
Why this server?
Provides SQL-based access to Redis in-memory data structure store.
Why this server?
Provides access to SAS Data Sets containing Redis data through SQL queries.
Why this server?
Provides SQL-based access to Redis in-memory data store information through the MCP server.
Why this server?
Enables querying of Redis key-value stores through SQL interfaces initiated by natural language questions.
Why this server?
Allows accessing Redis in-memory data structure store through SQL queries.
Why this server?
Provides access to Redis key-value store data through SQL, enabling relational queries against Redis data.
Why this server?
Enables SQL-based querying of Redis key-value store data.
Why this server?
Allows querying Redis database data via SQL models.
Why this server?
Provides read-only access to Redis in-memory data structure store.
Why this server?
Listed as a supported data source that can be integrated with the MCP server for data access.
Why this server?
Supports optional external caching functionality to improve performance when caching tool discovery results and gateway configurations.
Why this server?
Supports creation and management of Redis databases in Coolify deployments
Why this server?
Utilizes Redis for caching capabilities to improve performance when interacting with GitHub APIs.
Why this server?
Listed as a supported data source that can be connected to through the CData JDBC driver, enabling data querying capabilities.
Why this server?
Listed as a supported data source that can be accessed through the CData JDBC driver integration.
Why this server?
Listed as a supported data source that can be integrated with the MCP server for querying Redis data.
Why this server?
Listed as a supported data source that can be integrated with the MCP server for retrieving data.
Why this server?
Enables querying Redis data through SQL, allowing retrieval of in-memory data structure store information through natural language questions.
Why this server?
Listed as a supported data source that can be queried through the MCP server.
Why this server?
Listed as a supported data source for integration, enabling access to Redis in-memory data structure store data through the CData JDBC Driver.
Why this server?
Allows access to Redis in-memory data store information through SQL interfaces.
Why this server?
Allows SQL-based querying of Redis key-value data store, translating SQL operations to Redis commands.
Why this server?
Listed as a supported data source for integration, allowing access to Redis data structures.
Why this server?
Provides read-only access to Redis data by exposing tables as relational SQL models, allowing retrieval of live data through simple MCP queries.
Why this server?
Listed as a supported data source that can be connected to through the CData JDBC driver.
Why this server?
Enables querying Redis data sources by exposing them as relational SQL models that can be accessed through natural language queries.
Why this server?
Enables SQL-based querying of Redis in-memory data structure store.
Why this server?
Enables SQL-based access to Redis in-memory data store.
Why this server?
Allows read-only SQL querying of Redis key-value data stores.
Why this server?
Enables SQL-like queries against Redis key-value stores, transforming in-memory data structures into relational tables.
Why this server?
Listed as a supported data source for integration through the CData JDBC Driver framework.
Why this server?
Provides read-only access to Redis data through SQL models, allowing queries of Redis data through natural language requests.
Why this server?
Provides Redis caching service integration for Magento environments with customizable version configuration
Why this server?
Leverages Redis for background job processing and caching to improve application performance
Why this server?
Manages Redis cache services deployed through Coolify's service management capabilities
Why this server?
Provides querying capabilities for Redis in-memory data structures including keys, values, and database information through SQL-like operations.
Why this server?
Provides read-only access to Redis data store through SQL queries, enabling retrieval of key-value and caching information
Why this server?
Provides read-only access to Redis in-memory database through SQL queries, enabling retrieval of cached data and key-value pairs
Why this server?
Enables querying of Redis in-memory database data through SQL-like operations, providing access to cached data and key-value stores.
Why this server?
Allows SQL querying of Redis key-value database data and structures
Why this server?
Enables SQL-like querying of Redis key-value database including keys, values, and data structures.
Why this server?
Enables SQL interface to Redis in-memory database, allowing relational-style querying of Redis data structures
Why this server?
Enables querying of Redis in-memory data structures including keys, values, sets, and cached data through SQL-like interfaces.
Why this server?
Allows SQL-style querying of Redis key-value store data through JDBC connectivity.
Why this server?
Allows querying of Redis in-memory database key-value pairs through SQL interface
Why this server?
Provides access to Redis key-value store data through SQL-like operations
Why this server?
Enables SQL-based querying of Redis key-value store data for cache and session information retrieval
Why this server?
Enables SQL-based querying of Redis in-memory data structures and cache data
Why this server?
Enables querying of Redis key-value database data through SQL-like operations
Why this server?
Allows access to Redis in-memory data store keys and cached information
Why this server?
Allows querying of Redis in-memory data store through SQL interface
Why this server?
Allows SQL-based access to Redis in-memory database data and cache information
Why this server?
Provides SQL access to Redis in-memory database data through CData's JDBC driver
Why this server?
Provides access to Redis key-value store data through SQL interface
Why this server?
Allows SQL-style querying of Redis in-memory database data, providing relational access to keys, values, and cached information.
Why this server?
Allows querying of Redis in-memory database keys and values through SQL-like operations.
Why this server?
Enables SQL-based querying of Redis key-value store data through relational interface.
Why this server?
Allows SQL-based access to Redis in-memory data store through a relational interface.
Why this server?
Enables SQL-based querying of Redis key-value store data and cached information
Why this server?
Enables automated Redis installation and configuration as part of VPS service initialization
Why this server?
Allows querying of Redis in-memory database and caching system data
Why this server?
Allows querying Redis in-memory data store through SQL-like interface, providing access to cached data and key-value pairs.
Why this server?
Enables access to Redis in-memory data store through SQL-like queries for key-value data retrieval
Why this server?
Enables querying of Redis key-value database data through SQL interface
Why this server?
Provides SQL-based access to Redis key-value store data through relational models.
Why this server?
Provides SQL-based access to Redis key-value store data, enabling relational queries on cached data and in-memory datasets
Why this server?
Provides SQL-based access to Redis in-memory data structures, enabling structured queries against key-value data.
Why this server?
Allows SQL-based queries of Redis key-value store data.
Why this server?
Included in the list of supported sources for data retrieval through the MCP server.
Why this server?
Enables SQL-based queries against Redis key-value stores and databases.
Why this server?
Enables querying of Redis in-memory data structure store through a relational SQL interface, allowing retrieval of key-value information using natural language questions.
Why this server?
Utilized for caching frequently accessed blockchain data to improve performance
Why this server?
Utilizes Redis as a distributed L2 cache for improved performance and shared state management across services
Why this server?
Supports Redis as a distributed caching backend for improved performance and multi-cluster federation capabilities
Why this server?
Integrates with Redis for supporting Server-Sent Events (SSE) transport when deployed on Vercel.
Why this server?
Enables SQL-based access to Redis key-value stores and data structures.
Why this server?
Provides tools for interacting with Redis databases, including basic operations (get, set, delete, increment), list operations, hash operations, set operations, and pub/sub functionality, with automatic reconnection handling.
Why this server?
Leverages Redis for in-memory session tracking and REPL state management
Why this server?
Provides caching and real-time data streaming capabilities for news monitoring
Why this server?
Implements Redis-based caching system for improved performance when retrieving financial data and analysis results
Why this server?
Used for MCP session management and storage of session-related data, with configurable connection settings for host, port, database selection, and optional SSL/password authentication.
Why this server?
Uses Redis for persistent storage of agent communications, shared context, and coordination data across multiple AI agents
Why this server?
Enables interaction with Redis databases through a standardized set of tools for key-value operations, including setting values with optional expiration times, retrieving values, deleting keys, and listing keys matching patterns.
Why this server?
Listed as a supported data source that can be accessed through CData JDBC Driver and exposed via the MCP server.
Why this server?
Provides caching and real-time data handling for AI operations, enhancing response times and supporting state management across requests.
Why this server?
Required for Server-Sent Events (SSE) transport functionality, enabling real-time communication between the MCP server and clients.
Why this server?
Provides caching capabilities to improve performance and reduce redundant operations
Why this server?
Optional integration with Redis for shared caching across multiple server instances in scaled deployments.
Why this server?
Planned integration for Redis operations, including key-value operations, caching mechanisms, pub/sub functionality, and data structure operations.
Why this server?
Provides access to Redis database functionality through a configured MCP server
Why this server?
Optional caching solution for improved performance when searching Roblox documentation
Why this server?
Optional integration with Redis for query caching to improve performance when repeatedly accessing similar data from MongoDB instances.
Why this server?
Provides SQL-based access to Redis key-value store data, supporting querying of keys and values.
Why this server?
Enables SQL-like querying of Redis in-memory data structures, providing access to cached data and key-value store information.
Why this server?
Allows querying Redis in-memory data store through SQL-like operations, providing access to cached data and key-value pairs.
Why this server?
Enables querying Redis in-memory data structure store through SQL-like operations, providing access to cached data via relational queries.
Why this server?
Provides SQL querying capabilities for Redis in-memory data structures, enabling relational access to cached data and analytics.
Why this server?
Provides SQL-like access to Redis key-value data.
Why this server?
Allows querying of Redis in-memory data structure store data by exposing it as relational SQL models through the CData JDBC driver.
Why this server?
Provides pluggable index backend support through Redis adapters for vector storage and retrieval operations
Why this server?
Provides SQL access to Redis in-memory database data, enabling queries on key-value pairs and cached data.
Why this server?
Enables SQL interface for querying Redis in-memory data structures and cache analytics
Why this server?
Provides SQL-based access to Redis in-memory database, enabling querying of keys, values, and cache data through relational interface.
Why this server?
Provides querying capabilities for Redis key-value store data through SQL-like interface.
Why this server?
Enables querying of Redis in-memory database through SQL-like operations for cache and session data management.
Why this server?
Provides access to Redis in-memory data structure store content through SQL-like queries.
Why this server?
Enables SQL-like access to Redis in-memory database data including keys and cached information.
Why this server?
Provides read-only access to Redis data structures through SQL queries, enabling retrieval of cached and session data.
Why this server?
Enables SQL-based access to Redis in-memory data store.
Why this server?
Enables caching and real-time data processing for fast ETA calculations and service alerts distribution across the BMTC transportation network.
Why this server?
Implements a queue system for asynchronous processing of AI generation requests, providing job status tracking and efficient handling of concurrent requests.
Why this server?
Mentioned as a storage strategy option for the stateful implementation of the server
Why this server?
Can be extended to use Redis for session tracking instead of in-memory storage.
Why this server?
Utilizes Redis for persistent conversation storage and session management with configurable time-to-live functionality
Why this server?
Enables Server-Sent Events (SSE) transport for MCP functionality when deployed on Vercel.
Why this server?
Mentioned as a potential data store for session persistence when customizing the implementation, suggesting the server can be extended to use Redis for data storage.
Why this server?
Listed as a supported data source that can be accessed through the MCP server.
Why this server?
Enables querying of Redis key-value store data through SQL interface
Why this server?
Provides support for SSE (Server-Sent Events) transport in the MCP server implementation through Redis connection
Why this server?
Planned integration in Q3 2025 roadmap that will provide key-value pattern recognition for AI when working with Redis databases.
Why this server?
Allows access to data stored in Redis databases through SQL-like interfaces.
Why this server?
Allows querying Redis in-memory data structure store data through SQL interfaces.
Why this server?
Optional integration with Redis for enhanced performance in storing and retrieving fitness data
Why this server?
Leverages Redis for high-performance caching with 5-minute TTL, supporting features like connection pooling and improving overall server responsiveness.
Why this server?
Required for Server-Sent Events (SSE) transport when running on Vercel
Why this server?
Allows SQL-based querying of Redis key-value stores.
Why this server?
Listed as a supported data source for integration with the MCP server, allowing access to Redis data.
Why this server?
Offers read-only access to Redis in-memory data structure store keys and values.
Why this server?
Enables SQL-based access to Redis key-value store data, treating Redis structures as relational tables.
Why this server?
Implements Redis caching for frequently accessed data, optimizing performance when analyzing GitHub stars and repository information.
Why this server?
Listed as a supported data source for integration through the CData JDBC Driver
Why this server?
Provides the ability to query Redis key-value data as relational tables, enabling SQL-like access to Redis data structures.
Why this server?
Enables SQL queries against Redis in-memory database for caching and session data analytics
Why this server?
Listed as a supported data source that can be accessed through the MCP server interface, allowing retrieval of Redis data through SQL queries.
Why this server?
Supports Redis database deployment, configuration, and management within the Coolify platform.
Why this server?
Provides caching functionality to improve performance of URL validations and reputation checks, with configurable connection settings through environment variables.
Why this server?
Required for the MCP server deployment, providing database functionality for storing and managing context and state
Why this server?
Enables access to Redis key-value store data through SQL queries.
Why this server?
Enables read-only access to Redis data through natural language queries.
Why this server?
Supports connection to Redis instances via Redis CLI, enabling monitoring and management of Redis databases.
Why this server?
Implements session management and caching, storing conversation context and user session data for stateful interactions
Why this server?
Integrates with Redis for caching, session management, and improving performance of the MCP server.
Why this server?
Required for using the SSE transport in production, serving as the backing store for message handling
Why this server?
Planned for future enhancement to provide caching for price data, though not currently implemented.
Why this server?
Leverages Redis for caching and high-performance data operations
Why this server?
Enables deployment and management of Redis cache instances on Coolify, including creation and monitoring as part of infrastructure automation.
Why this server?
Suggested as a production enhancement for token caching and to replace in-memory storage for better scaling
Why this server?
Utilizes Redis for caching and performance optimization
Why this server?
Provides capabilities to set up and manage Redis instances within Coolify.
Why this server?
Uses Redis for AI-to-AI conversation persistence, enabling multi-turn conversations between Claude and other AI models with full context retention.
Why this server?
Uses Redis for caching and performance optimization of market data retrieval
Why this server?
Used for cache and session management within the multi-agent system.
Why this server?
Implements high-performance caching with cross-domain relevance scoring
Why this server?
Optional integration for SSE transport resumability, enhancing reliability of server-sent events connections
Why this server?
Mentioned as an optional caching solution for future enhancements
Why this server?
Offers optional caching functionality to reduce API costs and improve performance by storing frequently accessed YouTube data and AI analysis results
Why this server?
Runs a private, sandboxed Redis in-memory data store in an ephemeral, isolated VM
Why this server?
Integrates with Redis (port 6380) as the Hippocampus component for working memory buffer
Why this server?
Uses Redis as a backend storage for parsed decision tree data and to-do list items, enabling persistent storage of the server's state.
Why this server?
Optional integration for enhancing caching capabilities in high-load scenarios to replace in-memory caches
Why this server?
Provides storage functionality for the MCP server, required for maintaining state and storing data when deployed on Vercel.
Why this server?
Used for session state persistence and OAuth token storage, enabling horizontal scaling and stateless server architecture.
Why this server?
Listed as a potential database connector for business analytics