#39 · Primary category： AI Data Infrastructure & Storage
mcp-redis
The official Redis MCP Server is a natural language interface designed for agentic applications to manage and search data in Redis efficiently
Project last updated：08/05/26
GitHub Stars
607
Forks
111
Contributors
28
License
MIT
Why we included this project
Redis is a common backing store for AI applications, and this official MCP server lets an LLM drive it directly. Rather than writing custom glue code, an agent can call Redis through MCP tools to cache responses, persist conversation history, or push events to subscribers. The toolset spans the usual data types, from strings and hashes to streams and JSON documents, with pub/sub on top. The vector index and search tools are the standout for teams that want semantic retrieval without running a separate vector store. Anyone already on Redis gets durable, queryable storage for agents with minimal setup, and the Docker image and PyPI package make it easy to connect Claude Desktop, VS Code Copilot, or the OpenAI Agents SDK. It is a data-access layer for agents, not a general-purpose agent framework, so expect to pair it with your own orchestration.
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