MCP Servers for Redis

Redis is an open-source, in-memory data structure store used as a database, cache, message broker, and streaming engine.

View all MCP Servers

  • 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.

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    The official Redis MCP Server is a natural language interface designed for agentic applications to efficiently manage and search data in Redis.
    42
    14
    Python
    MIT License
    • Apple
  • 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.

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    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.
    16
    9
    TypeScript
    MIT License
  • Why this server?

    Allows interaction with Redis databases, including creating new databases, running Redis commands, listing databases, managing backups, and viewing usage statistics.

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    Model Context Protocol (MCP) is a new, standardized protocol for managing context between large language models (LLMs) and external systems. In this repository, we provide an installer as well as an MCP Server for Upstash Developer API's.
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    175
    26
    TypeScript
    MIT License
    • Linux
    • Apple
  • Why this server?

    Enables caching and data structure operations through Redis integration, supporting high-performance data access for tools and workflows

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    An AI-powered automation tool development platform that provides modular architecture with tool hot-reloading, enterprise-grade integration capabilities, and real-time updates with zero-downtime deployment.
    17
    4
    TypeScript
    MIT License
    • Apple
  • 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.

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    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.
    13
    29
    5
    TypeScript
    MIT License
  • 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.

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    Run your own MCP server for over 2,500 apps and APIs. * Run your own MCP server for over 2,500 APIs * Manage servers for your users, in your own app. * Connect accounts, configure params, and make API requests, all via tools * Fully-managed OAuth and credential storage )
    200
    9,589
    JavaScript
    • Linux
    • Apple
  • Why this server?

    Planned integration in Q3 2025 roadmap that will provide key-value pattern recognition for AI when working with Redis databases.

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    The Multi DB MCP Server is a high-performance implementation of the Database Model Context Protocol designed to revolutionize how AI agents interact with databases. Currently supporting MySQL and PostgreSQL databases.
    97
    Go
    MIT License
    • Linux
    • Apple
  • Why this server?

    Planned integration for Redis operations, including key-value operations, caching mechanisms, pub/sub functionality, and data structure operations.

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    A Model Context Protocol server that enables LLMs to interact with databases (currently MongoDB) through natural language, supporting operations like querying, inserting, deleting documents, and running aggregation pipelines.
    TypeScript
    MIT License
    • Apple
  • Why this server?

    Provides caching and real-time data handling for AI operations, enhancing response times and supporting state management across requests.

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    A high-performance FastAPI server supporting Model Context Protocol (MCP) for seamless integration with Large Language Models, featuring REST, GraphQL, and WebSocket APIs, along with real-time monitoring and vector search capabilities.
    5
    Python
    MIT License
  • 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.

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    Provides access to Redis databases. This server enables LLMs to interact with Redis key-value stores through a set of standardized tools.
    73
    17
    JavaScript
    MIT License
    • Apple
    • Linux
  • Why this server?

    Utilized for caching frequently accessed blockchain data to improve performance

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    A secure system enabling AI assistants to interact with blockchain data and prepare transactions while ensuring users maintain exclusive control over their private keys and transaction signing.
    3
    TypeScript
    MIT License
  • 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.

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    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.
    8
    Python
    MIT License
  • Why this server?

    Provides storage functionality for the MCP server, required for maintaining state and storing data when deployed on Vercel.

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    An MCP server that retrieves statistics from top protocols in the Mantle Network to help users make more informed investment decisions.
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    TypeScript
  • Why this server?

    Used for session state persistence and OAuth token storage, enabling horizontal scaling and stateless server architecture.

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    A serverless, multi-tenant implementation of MCP servers that runs on Vercel with fluid compute mode, allowing multiple users to connect to the same endpoint while maintaining session state through Redis.
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  • Why this server?

    Optional integration for enhancing caching capabilities in high-load scenarios to replace in-memory caches

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    A production-ready Node.js server that enables decentralized communication between AI agents on the Hedera network, implementing the Model-Context-Protocol architecture with support for multiple Hedera Consensus Service standards.
    TypeScript
    • Linux
    • Apple
  • 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.

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    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.
    JavaScript
    • Linux
    • Apple
  • Why this server?

    Provides capabilities to set up and manage Redis instances within Coolify.

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    A Model Context Protocol server that enables AI assistants to interact with Coolify instances through natural language, allowing management of servers, applications, databases, and deployments.
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    TypeScript
  • Why this server?

    Provides integration with Redis databases for key-value operations and data caching capabilities

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    A comprehensive Model Context Protocol server implementation that enables AI assistants to interact with file systems, databases, GitHub repositories, web resources, and system tools while maintaining security and control.
    16
    TypeScript
  • Why this server?

    Integrates with Redis for MCP server communication, allowing the Django migrations service to use Redis as a transport layer for message passing in distributed environments.

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    A Model Context Protocol service that wraps Django's migration commands as MCP endpoints, making it easy to manage migrations across multiple services and integrate with CI/CD pipelines.
    Python
    • Linux
    • Apple
  • Why this server?

    Provides data storage and caching capabilities for the MCP services

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    Provides a scalable, containerized infrastructure for deploying and managing Model Context Protocol servers with monitoring, high availability, and secure configurations.