Metabase
Verified · 4 days agoLets AI clients search, explore, query, and visualize data in a Metabase instance.
Semantic document memory using Redis vector store. Save and recall files with natural language.
claude mcp add vector-memory -- uvx mcp-server-vector-memory
Implements semantic memory over documents using Redis as a vector store, aimed at saving and recalling files through natural-language queries. It fits developers building agent workflows that need lightweight retrieval memory without adopting a larger knowledge platform. The concept is standard and useful, but the lack of visible adoption or maintenance signals in this listing suggests an early-stage utility rather than a broadly proven component.
Lets AI clients search, explore, query, and visualize data in a Metabase instance.
MCP Toolbox for Databases enables your agent to connect to your database.
MCP Toolbox for Databases enables your agent to connect to your database.
Query databases from AI agents using connections configured in DBX.
Real-time Kubernetes network traffic visibility and API analysis for HTTP, gRPC, Redis, Kafka, DNS.
Minimal, token-efficient Database MCP Server for PostgreSQL, MySQL, SQL Server, SQLite, MariaDB