The MCP Database Server is a specialized implementation of the Model Context Protocol (MCP) designed to provide Large Language Models (LLMs) with direct access to and knowledge about databases. This server bridges the gap between LLMs and database systems, enabling seamless integration and enhanced capabilities for AI-driven applications.
To configure the MCP Database Server, follow these steps:
1. Clone the Repository:
bash
git clone https://github.com/delei/mcp-server-database-jdbc.git
2. Set Up the Environment:
- Ensure Java and Maven are installed.
- Configure the database connection settings in the application.properties
file.
3. Build the Project:
bash
mvn clean install
4. Run the Server:
bash
mvn spring-boot:run
Once the server is up and running, you can integrate it with your LLM applications to enable database access. Here’s how:
1. Querying Databases:
- Use the MCP API to send queries from your LLM to the database.
2. Data Retrieval:
- Retrieve and process data directly within your LLM application.
3. Enhanced Capabilities:
- Leverage the server to provide context-aware responses based on database content.
Contributions to the MCP Database Server are welcome! Follow these steps to contribute:
1. Fork the Repository.
2. Create a New Branch for your feature or bug fix.
3. Submit a Pull Request with your changes.
This project is licensed under the Apache-2.0 License. See the LICENSE file for more details.