AI Agent for JDBC Databases
Seamlessly connect Large Language Models (LLMs) to your databases using the Model Context Protocol (MCP) Server for JDBC. Effortlessly inspect, query, create, and modify data in major databases like PostgreSQL, Oracle, MariaDB, SQLite, and more—just by providing a JDBC URL. Unlock powerful AI-driven data automation for analytics, reporting, and management.
Effortless Data Connectivity for AI
Connect your LLMs to any supported JDBC database in minutes. The MCP Server for JDBC supports a vast range of databases, enabling dynamic data access, real-time analytics, and automated data management—all with secure, direct connections.
- Broad Database Support.
- Integrate with PostgreSQL, Oracle, MariaDB, SQLite, MySQL, SQL Server, Firebird, and more via JDBC.
- Instant LLM Integration.
- Connect LLMs to databases for immediate access to querying, data modification, and automated insights.
- Secure Connections.
- Leverage secure, configurable access with user credentials and advanced logging options.
- No-Code Setup.
- Start servers directly with simple commands—no code changes or complex configuration required.
Powerful Database Operations via AI
Empower your AI agent with advanced database tools: perform SELECT, INSERT, UPDATE, DELETE, table creation, and schema discovery. Automate reporting, auditing, and data management through intelligent, prompt-driven operations.
- Read & Write Queries.
- Execute SELECT, INSERT, UPDATE, and DELETE statements across all connected databases.
- Schema Management.
- Create new tables, list existing tables, and describe schema structure—all from your AI agent.
- Prompt-Driven Automation.
- Use built-in prompts to guide and automate database exploration, reporting, and maintenance.
Flexible Deployment and Easy Setup
Spin up the MCP JDBC Server in seconds using jbang—no complex installation required. Compatible with cloud, desktop, or on-prem environments, and supports dynamic driver loading for maximum flexibility.
- One-Command Launch.
- Start your JDBC MCP server with a single terminal command—ideal for fast prototyping and scale.
- Cloud & Local Ready.
- Deploy on desktop, cloud, or on-premise environments with dynamic driver support.
- Advanced Troubleshooting.
- Enable advanced logging and custom configuration for robust monitoring and debugging.
MCP INTEGRATION
Available JDBC MCP Integration Tools
The following tools are available as part of the JDBC MCP integration:
- read_query
Execute SELECT queries to retrieve and filter data from the connected database.
- write_query
Run INSERT, UPDATE, or DELETE statements to modify database records.
- create_table
Create new tables in the database by specifying table schema and fields.
- list_tables
List all tables available in the connected database for inspection and interaction.
- describe_table
Display detailed information about a table's structure, columns, and types.
Effortlessly Connect LLMs to Any Database
Experience seamless database interaction with our JDBC MCP server—inspect, query, and modify data using just a JDBC URL. Instantly connect to Postgres, Oracle, SQLite, and more. Start exploring your data with powerful AI today!
What is Quarkiverse
Quarkiverse is an open community-driven platform dedicated to providing a wide range of Quarkus extensions for developers. It acts as a hub for innovation, enabling developers to extend the capabilities of the Quarkus Java framework. The platform encourages contributions from developers and organizations, ensuring a thriving ecosystem of reusable components that enhance productivity and accelerate application development. Quarkiverse hosts extensions for cloud-native, reactive, and container-first Java applications, streamlining integration with modern infrastructure and services.
Capabilities
What we can do with Quarkiverse MCP Servers
The Quarkiverse MCP Servers project supplies Model Context Protocol (MCP) servers implemented in Java using Quarkus. These servers enable seamless integration with MCP-enabled AI applications, such as Claude Desktop and others. The JDBC MCP server extension allows you to connect, store, and retrieve data from any JDBC-compatible database (like Postgres, MySQL, Oracle, SQLite, etc.) using a simple JDBC URL. This makes it easy to empower AI applications with persistent storage and data retrieval capabilities.
- Connect to any JDBC database
- Instantly connect AI and applications to a wide variety of databases including PostgreSQL, MySQL, Oracle, and SQLite.
- Enable persistent storage for AI agents
- Store conversation history, results, or context for AI applications and agents.
- Retrieve structured data for AI workflows
- Allow LLMs and AI agents to query and process structured information from databases in real time.
- Enhance LLM application extensibility
- Easily extend LLM and AI application capabilities by adding database-backed context and storage.
- Support multi-language integration
- Run MCP servers in Java, JavaScript, Python, and more using JBang or other compatible tools.
What is Quarkiverse
AI agents and LLM-enabled applications can significantly benefit from Quarkiverse MCP Servers by gaining seamless, structured access to databases via JDBC. This empowers agents with real-time data retrieval, persistent storage, and the ability to interact with complex backend systems, thus enhancing their intelligence and practical application in enterprise solutions.