"Redis" matching MCP servers:

Enables AI agents to manage and search data in Redis using natural language. Supports hashes, lists, sets, sorted sets, streams, JSON, and vector search.

Provides access to 21+ AI search parsers including Perplexity, ChatGPT, Claude, Gemini, Copilot, Grok, DeepSeek, and traditional search engines through the Redis API, enabling multi-source AI-powered search and information retrieval.

This read-only MCP Server allows you to connect to Redis data from Claude Desktop through CData JDBC Drivers. For full CRUD support, check out the first managed MCP platform: CData Connect AI (https://www.cdata.com/ai/).

A drop-in replacement for mcp-memory-duckdb with full concurrent access support using Redis Stack. Enables persistent knowledge graph storage with full-text search and multi-session concurrent access.

An MCP server that provides read-only access to Sedis Bolagsanalys and Fastighetsbenchmark data via natural language, enabling AI assistants to query Swedish listed-company financials and real-estate comparables.

A universal MCP server enabling AI assistants to query and manage six database engines (Postgres, Redis, Elasticsearch, MySQL, MongoDB, LDAP) through 113+ tools with read-only safety and fault tolerance.

Enables Claude Desktop to interact with MySQL, PostgreSQL, and Redis databases using natural language for data querying and schema analysis. It provides a secure interface with a default read-only mode to prevent unauthorized database modifications.

Provides read-only access to sports data, odds intelligence, and historical stats via 10 MCP tools, with fast response times through Redis caching.

A production-grade Model Context Protocol server that provides real-time weather data and 5-day forecasts using the Open-Meteo API. It offers comprehensive meteorological metrics supported by Redis caching and built-in performance monitoring tools.

Enables semantic search and retrieval of MCP (Model Context Protocol) documentation using Redis-backed embeddings, allowing users to query and access documentation content through natural language.