With Model Context Protocol (MCP), you can manage Redis through conversation instead of learning commands and writing integration code. We've built three demos to show you what's possible when Redis gets an AI interface.
This demo compares traditional Redis integration with Redis MCP for LLM applications with persistent memory. It provides working examples of both approaches. The demo showcases MCP's reduction in code complexity and persistence across multiple chat sessions.
Purpose: Demonstrate Redis MCP's impact on application development complexity
Audience: Developers building AI applications, teams evaluating Redis integration approaches
Manage Redis Cloud databases through Claude Desktop chat. Create databases, seed data, and get AI optimization suggestions without learning Redis commands.
Purpose: Show Redis MCP's capability for database management and architecture discovery
Audience: Solutions architects, developers exploring Redis, teams doing rapid prototyping
Natural language movie search powered by Redis vector embeddings. Find movies through conversational queries like "space adventures with aliens" without writing vector search code.
Purpose: Demonstrate Redis MCP enabling semantic search through natural language
Audience: Developers building search applications, teams exploring vector databases