quarkiverse/mcp-server-jdbc

Overview

Provides a Model Context Protocol (MCP) server for JDBC databases, built on Quarkus. It allows LLMs to query and interact with relational databases through a standard JDBC interface, enabling structured data access for AI tools.

Best for

Best for
Developers building AI tools that require direct, secure access to relational databases.

Use cases

• Expose a relational database schema to an MCP-compatible AI agent.
• Enable natural language querying of SQL databases via an LLM.
• Integrate database access into MCP-based development workflows.

Notes

Provides a Model Context Protocol (MCP) server for JDBC databases, built on Quarkus. It allows LLMs to query and interact with relational databases through a standard JDBC interface, enabling structured data access for AI tools.

193 stars on GitHub. Last updated 2026-04-07. Licensed Apache-2.0.

Use cases

• Expose a relational database schema to an MCP-compatible AI agent.
• Enable natural language querying of SQL databases via an LLM.
• Integrate database access into MCP-based development workflows.

Pros

• Leverages Quarkus for fast startup and low memory footprint.
• Standard JDBC support means compatibility with many databases.
• Part of the quarkiverse-mcp-servers ecosystem for easy deployment.

Cons

• Requires a Java runtime environment.
• Limited to JDBC-compatible databases (no NoSQL or cloud-specific APIs).
• May need manual configuration for complex or large schemas.

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.