Turbular
Enables Language Models (LLMs) to seamlessly connect to and retrieve data from various databases through a unified API.
About
Turbular is an open-source Model Context Protocol (MCP) server designed to facilitate seamless database connectivity for Language Models (LLMs). By providing a unified API interface, Turbular allows AI applications to interact with various database types, streamlining data access and management for AI-driven workflows. It supports schema normalization, secure connections, and query optimization, making it an ideal solution for LLMs requiring diverse data sources.
Key Features
- Secure Connections: Support for SSL and various authentication methods
- 39 GitHub stars
- Schema Normalization: Automatically normalize database schemas for LLM compatibility
- Docker Support: Easy deployment with Docker and Docker Compose
- Multi-Database Support: Connect to various database types through a single API
- Query Transformation: Transforms LLM generated queries into their unnormalized form
Use Cases
- Connecting LLM agents to relational databases for data retrieval
- Building AI applications that require access to multiple data sources
- Normalizing database schemas to improve LLM query generation
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