mcp -database-jdbc

This MCP server is a Database-enabled MCP backend that uses JDBC to connect to a relational database for storing MCP metadata and runtime information. It exposes the standard MCP endpoints and tooling for managing MCP resources while persisting state in an external database. Once running, you can interact with the server using the MCP tooling and APIs described by the MCP ecosystem, and rely on the JDBC-backed storage for durable data across restarts. Typical workflows include provisioning MCP entities, querying status, and performing migrations or upgrades that rely on a consistent database layer.

Prerequisites:

• Docker installed and running on your machine or server
• Access to the internet to pull the Docker image

Installation steps:

1. Ensure Docker is up and running:
   • On Linux/macOS: docker info
   • On Windows: Docker Desktop should be running
2. Pull the MCP Database JDBC image (or pull during run): docker pull delei/mcp-server-database-jdbc
3. Run the MCP server in a container: docker run -i --rm delei/mcp-server-database-jdbc Optional: map ports if the server exposes a port (e.g., -p 25565:25565) and configure environment variables as needed
4. Validate startup:
   • Check container logs for startup messages indicating the MCP server is ready
5. Configure your MCP client/tools to point at the running server endpoint and test basic MCP operations

If you need to customize the database connection, refer to the image documentation for environment variables related to JDBC URL, credentials, and pool settings and launch the container with -e VAR=value accordingly.

Environment variables and configuration options for this image may include JDBC connection details (URL, user, password) and any MCP-specific toggles (enable/disable features, logging level). Ensure the database is accessible from the container network and that firewall rules permit the MCP port. If you encounter connection issues, verify that the JDBC driver matches the database type (e.g., PostgreSQL, MySQL) and that the database user has proper schema permissions. Review container logs for startup exceptions and consult the image’s docs for recommended database versions and migration notes.