MCP Server - Oracle DB Context
by danielmeppiel
The MCP Oracle DB Context server provides contextual database schema information for large Oracle databases, enabling AI assistants to understand and work with databases containing thousands of tables. It intelligently caches and serves database schema information to AI models.
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What is MCP Server - Oracle DB Context?
The MCP Oracle DB Context server is a Model Context Protocol (MCP) server designed to provide AI models with accurate and relevant database schema information for large Oracle databases. It addresses the challenge of overwhelming AI models with excessive table and relationship data by intelligently caching and serving schema information on demand.
How to use MCP Server - Oracle DB Context?
To use the server, you can integrate it with AI assistants like GitHub Copilot in VSCode Insiders. You can set it up using Docker (recommended) or a local installation with UV. Configure the server with your database connection string and other settings, then use the available tools through the AI assistant's chat interface to retrieve schema information, search for tables, and understand relationships.
Key features of MCP Server - Oracle DB Context
Smart Schema Caching
Targeted Schema Lookup
Table Search
Relationship Mapping
Oracle Database Support
MCP Integration
Use cases of MCP Server - Oracle DB Context
Providing schema context to AI coding assistants
Enabling AI-powered database exploration
Automating database documentation
Facilitating AI-driven query generation
FAQ from MCP Server - Oracle DB Context
How does the server handle large databases?
How does the server handle large databases?
The server uses smart schema caching to minimize database queries and efficiently serve schema information on demand.
What connection modes are supported?
What connection modes are supported?
The server supports both Thin Mode (pure Python) and Thick Mode (requires Oracle Client libraries) for connecting to the database.
What are the system requirements?
What are the system requirements?
The server requires Python 3.12 or higher, 4GB+ RAM for large databases, minimum 500MB free space for schema cache, and a stable connection to the Oracle database server.
How do I integrate this with GitHub Copilot?
How do I integrate this with GitHub Copilot?
Install VSCode Insiders, install the GitHub Copilot extension, configure the MCP server in your settings.json file (using Docker or UV), and enable Agent mode in Copilot.
What if the database structure changes?
What if the database structure changes?
You can use the rebuild_schema_cache tool to force a rebuild of the schema cache.