Teradata
Multi-task data analytics on the Teradata enterprise analytics platform with SQL query generation and execution.
Teradata is an officially maintained MCP server developed by Teradata in the Data category. Multi-task data analytics on the Teradata enterprise analytics platform with SQL query generation and execution. Built with Python and communicating over stdio transport, it integrates with AI assistants via the Model Context Protocol. Install via pip with `pip install teradata-mcp`. The project has 41 GitHub stars.
Features
Category
Sqlite
Database interaction and business intelligence capabilities
Memory
Knowledge graph-based persistent memory system
PostgreSQL
Read-only database access with schema inspection
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.