Qdrant MCP vs Redis MCP Server
Updated June 2026Compare these two MCP servers to find which one fits your needs best.
Description
High-performance vector database MCP server for AI applications. Store and query vector embeddings for semantic search, RAG pipelines, and similarity matching. Connect your AI assistant directly to your Qdrant collections.
The Redis MCP Server (redis/mcp-redis) is Redis's own natural-language interface for agentic applications, letting an AI client read and write Redis data over the Model Context Protocol. Note which one you install: the server most tutorials still point at is Anthropic's reference implementation, which now lives in modelcontextprotocol/servers-archived, and its npm package @modelcontextprotocol/server-redis is explicitly marked "Package no longer supported" with a last publish of 2025-04-25. The maintained server is a Python package instead, run with uvx --from redis-mcp-server@latest, and it covers far more of Redis than the reference one did: string, hash, list, set and sorted-set tools; JSON document tools; pub/sub with stateful channel and pattern subscriptions; Streams tools including consumer-group create, read, acknowledge and destroy; vector index management and vector search through the query engine; a docs search tool; and a server-management tool for database info. Connection is a redis:// or rediss:// URL passed as --url, or the REDIS_HOST/REDIS_PORT/REDIS_PWD/REDIS_SSL environment variables, with Redis Cluster mode behind REDIS_CLUSTER_MODE and EntraID service-principal, managed-identity and default-credential auth flows for Azure Managed Redis. There is no --read-only flag: the documented way to stop an agent writing is a Redis ACL user (ACL SETUSER readonlyuser on >pw ~* +@read -@write). Ships as a PyPI package, a GitHub install via uvx, and an official mcp/redis Docker image; stdio transport only.
Install Type
pip
pip
Categories
🗄️ database🤖 ai🧠 memory
🗄️ database
Integrations
🟣 claude-desktop⚡ cursor💙 vs-code🤖 cline
🟣 claude-desktop⚡ cursor💙 vs-code🏄 windsurf🤖 cline
Frequently Asked Questions
What is the difference between Qdrant MCP and Redis MCP Server?
Qdrant MCP and Redis MCP Server are both MCP servers but differ in their categories and capabilities. Qdrant MCP (database, ai, memory) is High-performance vector database MCP server for AI applications. Store and query vector embeddings for semantic search, RAG pipelines, and similarity matching. Connect your AI assistant directly to your Qdrant collections. while Redis MCP Server (database) is The Redis MCP Server (redis/mcp-redis) is Redis's own natural-language interface for agentic applications, letting an AI client read and write Redis data over the Model Context Protocol. Note which one you install: the server most tutorials still point at is Anthropic's reference implementation, which now lives in modelcontextprotocol/servers-archived, and its npm package @modelcontextprotocol/server-redis is explicitly marked "Package no longer supported" with a last publish of 2025-04-25. The maintained server is a Python package instead, run with uvx --from redis-mcp-server@latest, and it covers far more of Redis than the reference one did: string, hash, list, set and sorted-set tools; JSON document tools; pub/sub with stateful channel and pattern subscriptions; Streams tools including consumer-group create, read, acknowledge and destroy; vector index management and vector search through the query engine; a docs search tool; and a server-management tool for database info. Connection is a redis:// or rediss:// URL passed as --url, or the REDIS_HOST/REDIS_PORT/REDIS_PWD/REDIS_SSL environment variables, with Redis Cluster mode behind REDIS_CLUSTER_MODE and EntraID service-principal, managed-identity and default-credential auth flows for Azure Managed Redis. There is no --read-only flag: the documented way to stop an agent writing is a Redis ACL user (ACL SETUSER readonlyuser on >pw ~* +@read -@write). Ships as a PyPI package, a GitHub install via uvx, and an official mcp/redis Docker image; stdio transport only..
Which MCP server should I choose: Qdrant MCP or Redis MCP Server?
Choose Qdrant MCP if you need database capabilities and prefer pip installation. Choose Redis MCP Server if you need database capabilities and prefer pip installation. Consider your specific use case and integration requirements.
Can I use both Qdrant MCP and Redis MCP Server together?
Yes, you can use multiple MCP servers together in Claude Desktop, Cursor, VS Code, and other MCP-compatible clients.Qdrant MCP and Redis MCP Servercan complement each other if their capabilities don't overlap.