MCP Redis Cloud MCP Server

MCP Server for interacting with Redis Cloud API

Local serverstdio

What is the MCP Redis Cloud MCP server?

MCP Redis Cloud MCP server is a locally run integration for AI assistants that speak the Model Context Protocol. MCP Server for interacting with Redis Cloud API.

What you get

Model Context Protocol (MCP) is a standardized protocol for managing context between large language models (LLMs) and external systems. This repository provides an MCP Server for Redis Cloud's API, allowing you to manage your Redis Cloud resources using natural language.

What the assistant can call

Once MCP Redis Cloud is connected, these are the calls the assistant has available:

  • Prerequisites — The Prerequisites tool exposed by this server
  • Notes — The Notes tool exposed by this server

Setting it up

@modelcontextprotocol/inspector on npm is all you need. Most clients run it directly, so configuration is a few lines and a restart.

Configuration and credentials

You will need 2 environment variables: API_KEY, SECRET_KEY. The server will not start without them, which is usually why the tools fail to appear on a first run. Keep credentials in your client's env block or a secrets manager rather than in a file you might commit.

  • Valid Redis Cloud API credentials (API Key and Secret Key) - Task IDs are returned for long-running operations and can be monitored - Paginated responses require multiple calls to retrieve all data

Choosing this one

Among the database access options, the useful question is rarely "what can it do" but "what does it cost you to run" — permissions, credentials, and how much of your context its toolset consumes. MCP Redis Cloud's toolset — Prerequisites, Notes — is a fair guide to whether it matches your workflow. It is maintained by redis; worth a glance at recent repository activity before you build anything load-bearing on it.

SyncDev reviews every entry in this directory against the project's own documentation before publishing, and revisits them as servers change.

Before you rely on it

  • It runs with your machine's permissions. That is convenient and also the reason to think about what you point it at before you approve a tool call.
  • Missing credentials fail quietly in some clients — if no tools show up, check the environment block first.
  • MCP clients confirm each tool call by default. Leave that on until you have watched what the mcp redis cloud mcp server does with a few real requests.

Available tools

ToolWhat it does
PrerequisitesThe Prerequisites tool exposed by this server.
NotesThe Notes tool exposed by this server.

How to install the MCP Redis Cloud MCP server

{
  "mcpServers": {
    "redis-cloud": {
      "command": "npx",
      "args": ["-y", "@modelcontextprotocol/inspector"],
      "env": {
        "API_KEY": "your-value",
        "SECRET_KEY": "your-value"
      }
    }
  }
}

Add to claude_desktop_config.json, then restart Claude Desktop.

Configuration

  • Valid Redis Cloud API credentials (API Key and Secret Key) - Task IDs are returned for long-running operations and can be monitored - Paginated responses require multiple calls to retrieve all data
VariableDescriptionRequired
API_KEYCredential the server authenticates with.Yes
SECRET_KEYCredential the server authenticates with.Yes

Example prompts to try

  • Use MCP Redis Cloud to Prerequisites.
  • Use MCP Redis Cloud to Notes.

Frequently asked questions

It connects MCP Redis Cloud to MCP-compatible AI assistants such as Claude and Cursor, exposing 2 tools (Prerequisites, Notes) that the assistant can call on your behalf. Instead of copying data back and forth by hand, the assistant works with MCP Redis Cloud directly.