mcp-redis — MCP Server by redis

by redis · MCP Server · ★ 489

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About mcp-redis

Redis MCP Server [![Stack Exchange questions](https://img.shields.io/stackexchange/stackoverflow/t/mcp-redis?style=social&logo=

databasegenaillmmcpmcp-serverredis

Quick Facts

Stars489
Forks93
LanguagePython
CategoryMCP Server
LicenseMIT
Quality Score65.246/100
Open Issues11
Last Updated2026-04-22
Created2025-04-02
Platformsmcp, python
Est. Tokens~155k

Compatible Skills

These tools work well together with mcp-redis for enhanced workflows:

  • openchatbi — semantic(0.16)+complementary+rare_topics+same_lang+similar_pop+shared_platform (55%)
  • relevanceai — semantic(0.15)+complementary+same_lang+similar_pop+shared_platform (50%)
  • AgentChat — semantic(0.30)+rare_topics+same_lang+similar_pop+shared_platform (45%)

mcp-redis alternative? Top 6 similar tools

Looking for a mcp-redis alternative? If you're comparing mcp-redis with other mcp server tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.

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Frequently Asked Questions

What is mcp-redis?

mcp-redis is The official Redis MCP Server is a natural language interface designed for agentic applications to manage and search data in Redis efficiently. It is categorized as a MCP Server with 489 GitHub stars.

What programming language is mcp-redis written in?

mcp-redis is primarily written in Python. It covers topics such as database, genai, llm.

How do I install or use mcp-redis?

You can find installation instructions and usage details in the mcp-redis GitHub repository at github.com/redis/mcp-redis. The project has 489 stars and 93 forks, indicating an active community.

What license does mcp-redis use?

mcp-redis is released under the MIT license, making it free to use and modify according to the license terms.

What are the best alternatives to mcp-redis?

The top alternatives to mcp-redis on Agent Skills Hub include AgentChat, sec-edgar-mcp, MCP-PostgreSQL-Ops. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.

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