Alkemi
Query Snowflake, Google BigQuery, and DataBricks Data Products through the Alkemi.ai unified analytics platform.
Alkemi is an officially maintained MCP server developed by Alkemi Network in the Data category. Query Snowflake, Google BigQuery, and DataBricks Data Products through the Alkemi.ai unified analytics platform. Built with Python and communicating over stdio transport, it integrates with AI assistants via the Model Context Protocol. Install via pip with `pip install alkemi-mcp`. The project has 2 GitHub stars.
Features
Category
Memory
Knowledge graph-based persistent memory system
PostgreSQL
Read-only database access with schema inspection
Sqlite
Database interaction and business intelligence capabilities
Supabase
Interact with Supabase: Create tables, query data, deploy edge functions, manage auth, storage, and more.
Qdrant
Implement semantic memory layer on top of the Qdrant vector search engine
MySQL
MySQL database integration with configurable access controls, schema inspection, and comprehensive security guidelines.