Overview
This MCP server provides a modular framework to interact with Redis-like backends (e.g., Redis and AWS MemoryDB) through the Model Context Protocol. It exposes resources to observe the Redis connection and server information and to list keys by pattern. It ships a set of tools for common data operations: basic operations (get_value, set_value with optional expiry, delete_key, increment), list operations (list_push, list_range), hash operations (hash_set, hash_get), set operations (set_add, set_members), and Pub/Sub (publish_message). The architecture comprises a Redis connection manager, resource implementations (status and keys), and tool implementations for various data structures. The server returns structured responses, includes error handling, and auto-reconnects if the Redis connection drops. It can be tested via the MCP Inspector and can be installed in Claude Desktop. Run with python src/server.py and customize connection details via .env. The README provides example interactions showing status checks and basic set/get workflows. It is designed to interact with caching backends for in-memory and key-value storage use-cases, and references Redis/AWS MemoryDB in its original description.
Features
Redis Connection Status Resource
Provides the current connection status to the Redis backend via the redis://status endpoint.
Redis Information Resource
Exposes information about the Redis server via the redis://info endpoint.
Key Pattern Search Resource
Lists keys matching a given pattern through redis://keys/{pattern}.
Basic Operations
Get, set (with optional expiry), delete, and increment values.
List Operations
Push values to lists and read ranges (list_push, list_range).
Hash Operations
Set and retrieve hash fields (hash_set, hash_get).
Set Operations
Add to a set and retrieve set members (set_add, set_members).
Pub/Sub Operations
Publish messages to channels (publish_message).
Who Is This For?
- Developers:Interact with Redis-style caches and in-memory key-value stores via MCP for caching and data-management workflows.
