Oracle DB Context
Enables AI assistants to understand and interact with large Oracle databases by providing targeted, contextual schema information.
关于
Addresses the challenge of integrating AI models with very large Oracle databases by intelligently caching and serving relevant database schema information. This server allows AI assistants to efficiently look up specific table schemas, search for tables by pattern, understand table relationships, and retrieve database vendor details on demand, preventing models from being overwhelmed by extensive database structures. It supports seamless integration with various AI platforms, including GitHub Copilot, Claude, and ChatGPT.
主要功能
- Seamless integration with Model Context Protocol (MCP) compatible AI assistants
- Extensive Database Query Tools (including schema, DDL, DML, and PL/SQL operations)
- Smart Schema Caching for Oracle databases
- Comprehensive Relationship Mapping for foreign keys
- Targeted Schema Lookup and Table Search capabilities
- 1 GitHub stars
使用案例
- Providing on-demand database schema information to AI models without overwhelming them with full database structures
- Enabling AI to generate or execute SQL queries and PL/SQL operations based on contextual knowledge
- Integrating large-scale Oracle databases with AI assistants for schema understanding