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Quarkus MCP Servers
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Documentation & install
Readme and setup notes from the catalogue, plus a client-ready config you can copy for your MCP host.
Installation
Add the following to your MCP client configuration file.
Configuration
View docs{
"mcpServers": {
"quarkiverse-quarkus-mcp-servers": {
"command": "jbang",
"args": [
"jdbc@quarkiverse/quarkus-mcp-servers"
]
}
}
}You can run Model Context Protocol (MCP) servers to extend your MCP-enabled LLM applications. These Java-based servers let you store data, inspect running processes, serve files, draw with JavaFX, interact with Kubernetes, manage containers, or access Wolfram Alpha capabilities, all in a scalable MCP-friendly way.
How to use
Start any MCP server locally using the provided command line interface. Each server runs as a separate process that you can connect to from MCP-enabled clients. You typically start a server and then point your MCP-enabled application to that server to perform its specialized tasks, such as data storage, JVM inspection, file access, or external knowledge queries.
How to install
Prerequisites you need before starting any server:
- Java 17+ is installed on your machine
- A compatible command launcher is available (the environment used here is jbang)
- An MCP-enabled client or application is ready to connect to a running server
Install and start each server using its dedicated command. Run these commands in your terminal one by one as needed.
jbang jdbc@quarkiverse/quarkus-mcp-servers
jbang jvminsight@quarkiverse/quarkus-mcp-servers
jbang filesystem@quarkiverse/quarkus-mcp-servers [path1] [path2] ...
jbang jfx@quarkiverse/quarkus-mcp-servers
jbang kubernetes@quarkiverse/quarkus-mcp-servers
jbang containers@quarkiverse/quarkus-mcp-servers
jbang wolfram@quarkiverse/quarkus-mcp-servers
Further setup notes
If you need to serve specific files or directories with the filesystem server, provide the paths when starting that server. The server will then expose those files to MCP-enabled clients for retrieval or processing.
Available tools
data_store
Store and retrieve data using a JDBC-backed data source exposed through the MCP server.
jvm_inspect
Inspect a running JVM process to collect metrics, threads, and runtime information.
file_server
Serve files from the local filesystem to MCP-enabled clients for retrieval and processing.
canvas_draw
Expose a JavaFX canvas for interactive drawing and rendering operations via MCP.
k8s_integration
Interact with Kubernetes clusters to manage resources and queries from MCP clients.
container_engine
Interact with Docker/Podman/OCI-compatible containers through an MCP interface.
wolfram_search
Perform web-optimized searches and queries via the Wolfram Alpha API for MCP-enabled apps.