Crate redisctl_mcp 

MCP (Model Context Protocol) server for Redis Cloud and Enterprise

This crate provides an MCP server that exposes Redis Cloud and Enterprise management operations as tools for AI systems.

Binary Usage

The primary way to use this crate is as a standalone binary:

# Stdio transport (for Claude Desktop, etc.)
redisctl-mcp --profile my-profile

# Multiple profiles for multi-cluster support
redisctl-mcp --profile cluster-west --profile cluster-east --profile cluster-central

# HTTP transport with OAuth (for shared deployments)
redisctl-mcp --transport http --port 8080 --oauth --oauth-issuer https://accounts.google.com

# Enable only specific toolsets
redisctl-mcp --tools cloud,app

Library Usage

You can also embed the tools in your own MCP server using sub-routers:

use std::sync::Arc;
use redisctl_mcp::{AppState, CredentialSource, tools};
use redisctl_mcp::policy::{Policy, PolicyConfig};
use tower_mcp::McpRouter;

let policy = Arc::new(Policy::new(
    PolicyConfig::default(), // read-only
    std::collections::HashMap::new(),
    "default".to_string(),
));
let state = Arc::new(AppState::new(
    CredentialSource::Profiles(vec!["default".to_string()]),
    policy,
    None, // no database URL
)?);

// Use merge to compose sub-routers
let router = McpRouter::new()
    .merge(tools::cloud::router(state.clone()))
    .merge(tools::enterprise::router(state.clone()))
    .merge(tools::profile::router(state.clone()));

Re-exports

pub use error::McpError;

pub use state::AppState;

pub use state::CredentialSource;

Modules

audit

Audit logging for MCP tool invocations.

error

Error types for the MCP server

policy

MCP server policy configuration for granular tool access control.

presets

Tool visibility presets for managing the number of tools exposed to MCP clients.

prompts

MCP Prompts for Redis management workflows

resources

MCP Resources for Redis management

serde_helpers

Serde helpers for MCP JSON transport coercion.

state

Application state and credential resolution

tools

MCP tools for Redis Cloud, Enterprise, and direct database operations