High-Performance Data Access for AI 🔗
This server provides a robust, enterprise-ready solution for connecting Large Language Models to any database with a JDBC driver, leveraging the speed and efficiency of Quarkus.
The Enterprise Gap
AI models need to integrate with existing enterprise infrastructure, which is predominantly Java-based. A lightweight, fast-booting, and memory-efficient server is crucial for scalable and cost-effective deployments.
Universal JDBC Toolkit for AI 🔗
A comprehensive set of tools for database schema discovery, data querying, and execution of stored procedures, available to any MCP client.
Quickstart Installation 🔗
Get the server source code with two simple commands. Prerequisite: Java 21+.
Configuration Guide 🔗
Configure the server for your specific database and integrate it with client applications like Claude Desktop.
Basic Use & Troubleshooting 🔗
Use the MCP Inspector tool to test your connection and troubleshoot interactions with the server.
MCP Server in Action: Client Demonstrations 🔗
The following screencasts demonstrate the universal workflow for interacting with any MCP-compliant data server. The client-side experience shown is identical when connecting to either the JDBC or the ODBC server, showcasing the power of the Model Context Protocol.
Frequently Asked Questions 🔗
Find answers to common questions about the project, its features, and implementation.
Key Concepts & Technologies 🔗
Understand the core technologies and standards that power the `mcp-jdbc-server`.