A powerful Model Context Protocol (MCP) server that provides contextual database schema information for large Oracle databases, enabling AI assistants to understand and work with databases containing thousands of tables.
- Overview
- Features
- Usage
- Architecture
- Connection Modes
- System Requirements
- Performance Considerations
- Contributing
- License
- Support
The MCP Oracle DB Context server solves a critical challenge when working with very large Oracle databases: how to provide AI models with accurate, relevant database schema information without overwhelming them with tens of thousands of tables and relationships.
By intelligently caching and serving database schema information, this server allows AI assistants to:
- Look up specific table schemas on demand
- Search for tables that match specific patterns
- Understand table relationships and foreign keys
- Get database vendor information
- Smart Schema Caching: Builds and maintains a local cache of your database schema to minimize database queries
- Targeted Schema Lookup: Retrieve schema for specific tables without loading the entire database structure
- Table Search: Find tables by name pattern matching
- Relationship Mapping: Understand foreign key relationships between tables
- Oracle Database Support: Built specifically for Oracle databases
- MCP Integration: Works seamlessly with GitHub Copilot in VSCode, Claude, ChatGPT, and other AI assistants that support MCP
- Read-Only Mode: Default security mode that prevents write operations while allowing full read access