TextQL
Enables AI models and agents to translate natural language into database queries and execute them against SQL/Graph databases.
About
TextQL provides a standalone Model Context Protocol (MCP) server that empowers AI models and agents to seamlessly interact with SQL and graph databases. It translates natural language questions into database queries (*QL) and executes them, retrieving structured responses. The server automatically leverages relevant schema information for query refinement and offers an extensible design to integrate with various database and schema providers, all built upon the MCP standard.
Key Features
- Extensible Database and Schema Providers
- Database Query Execution
- Model Context Protocol (MCP) Compliance
- 1 GitHub stars
- Natural Language to Query Language Translation
- Automated Schema Integration
Use Cases
- Building AI agents capable of querying databases using natural language.
- Automating data retrieval and analysis for AI applications.
- Integrating natural language database interaction into custom AI solutions.
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