Rahgadda Oracledb MCP Server
This project installs an MCP (Model Context Protocol) server to provide the configured Oracle database tables/columns as context to the LLM (Large Language Model), enabling the LLM to interact with the Oracle database, generate SQL statements, and return results through LLM prompts.
rating : 2 points
downloads : 26
What is the OracleDB MCP Server?
The OracleDB MCP Server is a middleware service that provides the table and column structures of an Oracle database as context to large language models (LLMs). This allows non-technical users to interact with the database through natural language prompts without having to write complex SQL queries.How to use the OracleDB MCP Server?
After installing the Python package, configure the database connection information and start the service to interact with the database through LLM prompts. The service will automatically convert natural language into SQL queries and return the results.Applicable scenarios
It is suitable for business scenarios where non-technical users need to query databases, such as customer support, data analysis, and business report generation. It is also suitable for development scenarios where database capabilities need to be integrated into LLM applications.Main features
Database context provisionProvide the configured Oracle database table and column structures as context to the LLM, enabling the LLM to understand the database structure.
SQL generation and executionAutomatically generate and execute SQL queries based on LLM prompts and return the query results.
Whitelist controlControl the accessible tables and columns through the TABLE_WHITE_LIST and COLUMN_WHITE_LIST environment variables to ensure data security.
Advantages and limitations
Advantages
Enable non-technical users to query databases through natural language
Reduce the need to write complex SQL queries
Ensure data security through the whitelist mechanism
Easy to integrate into existing LLM applications
Limitations
Dependent on the Oracle database environment
Require pre - configuration of accessible tables and columns
Complex queries may require multiple prompt optimizations
How to use
Install the Python package
Install the oracledb_mcp_server package using pip
Create a configuration file
Create a.env file in the project folder and configure the database connection information and other parameters
Start the service
Run the service using uvicorn
Usage examples
Query customer informationQuery information about a specific customer through natural language prompts
Data statisticsObtain statistics on the number of customers for a specific product
Frequently Asked Questions
How to ensure database security?
Are there any limitations on query results?
Which Oracle database versions are supported?
Related resources
GitHub repository
Project source code and latest updates
Example.env file
Example configuration file
Model Context Protocol
Official documentation of the MCP protocol
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