mcp-databricks-server: Connect AI models to Databricks for natural language SQL queries and job management.

Integrate Milvus vector DB with LLMs using `mcp-server-milvus`, an MCP server for AI-powered applications.

Integrate AI models with Weaviate using `mcp-server-weaviate`, an MCP server for seamless data interaction and enhanced AI functionality.

dolphindb-mcp-server: An MCP server for connecting DolphinDB to AI models.

Database MCP Server: Connect AI models to databases using MCP for intelligent data interaction.

mcp-server-qdrant: An MCP server for semantic memory using Qdrant. Connect LLMs to a vector database for persistent knowledge.

mcp-sqlalchemy-server: An MCP Server for AI models to interact with ODBC databases via FastAPI, pyodbc, and SQLAlchemy.

MCP ODBC Server: Securely connects AI models to databases via ODBC. Enables SQL/SPARQL queries for intelligent data interaction.

Memgraph MCP Server: Connect Memgraph to LLMs securely via MCP. Run Cypher queries and access schema info.

JDBC MCP Server: Standardized database interaction for AI models via JDBC.

Supabase MCP Server: Programmatic access to Supabase for AI models via a standardized MCP interface. Manage projects and organizations easily.

Convex Backend: Open-source reactive database for AI-driven web apps with real-time updates and TypeScript support.