Redis MCP Server

Overview

The Redis MCP Server is a natural language interface designed for agentic applications to efficiently manage and search data in Redis. It integrates seamlessly with MCP (Model Content Protocol) clients, enabling AI-driven workflows to interact with structured and unstructured data in Redis. Using this MCP Server, you can ask questions like:

• "Store the entire conversation in a stream"
• "Cache this item"
• "Store the session with an expiration time"
• "Index and search this vector"

Table of Contents

• Overview
• Features
• Tools
• Installation
  • From PyPI (recommended)
  • Testing the PyPI package
  • From GitHub
  • Development Installation
  • With Docker
• Configuration
  • Redis ACL
  • Configuration via command line arguments
  • Configuration via Environment Variables
  • EntraID Authentication for Azure Managed Redis
  • Logging
• Integrations
  • OpenAI Agents SDK
  • Augment
  • Claude Desktop
  • VS Code with GitHub Copilot
• Testing
• Example Use Cases
• Contributing
• License
• Badges
• Contact

Features

• Natural Language Queries: Enables AI agents to query and update Redis using natural language.
• Seamless MCP Integration: Works with any MCP client for smooth communication.
• Full Redis Support: Handles hashes, lists, sets, sorted sets, streams, and more.
• Search & Filtering: Supports efficient data retrieval and searching in Redis.
• Scalable & Lightweight: Designed for high-performance data operations.
• EntraID Authentication: Native support for Azure Active Directory authentication with Azure Managed Redis.
• The Redis MCP Server supports the stdio transport. Support to the stremable-http transport will be added in the future.

Tools

This MCP Server provides tools to manage the data stored in Redis.