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quarkiverse/mcp-server-jfx

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Draw on JavaFX canvas.

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About

Draw on JavaFX canvas.

README

This project contains Model Context Protocol servers, implemented in Java using the Quarkus MCP server framework.

These lets you extend the capabilities of your MCP enabled LLM (Large Language Model) AI applications.

These also work in MCP enabled LLM applications, like Claude Desktop. You can find other clients on Awesome MCP Clients page.

Running the servers

All of these servers are available to run with jbang everywhere: Java, JavaScript, Python and more. Where it says jbang it can be replaced with npx @jbangdev/jbang or uvx jbang or pipx jbang dependent on your preference.

Servers

jdbc

The jdbc server can be used to store and retrieve data from a database given just a JDBC URL. You can use any JDBC database, like Postgres, MySQL, Oracle, Sqlite, etc.

jbang jdbc@quarkiverse/quarkus-mcp-servers

See more in the jdbc readme.

jvminsight

The jvminsight server is a server that can be used to inspect a running JVM process.

jbang jvminsight@quarkiverse/quarkus-mcp-servers

See more in the jvminsight readme.

filesystem

The filesystem server is a file system server that can be used to serve files from a file system.

jbang filesystem@quarkiverse/quarkus-mcp-servers [path1] [path2] ...

See more in the filesystem readme.

jfx

The jfx server exposes a canvas that can be used to make drawings using JavaFX.

jbang jfx@quarkiverse/quarkus-mcp-servers

See more in the jfx readme.

kubernetes

The kubernetes server can be used to interact with a Kubernetes cluster.

jbang kubernetes@quarkiverse/quarkus-mcp-servers

containers

The 'containers' server lets you work with Docker/Podman/OCI compatible container engines.

jbang containers@quarkiverse/quarkus-mcp-servers

wolfram

The wolfram server can be used to perform web search optimized for use by a large language model through the Wolfram Alpha LLM API.

jbang wolfram@quarkiverse/quarkus-mcp-servers

Other Quarkus MCP based servers

WildFly

A WildFly MCP server that allows you to interact with WildFly running servers.

You can check this WildFly vlog that demonstrates its capabilities.

Read more in the WildFly MCP Server readme.

Ideas for other servers

If you have ideas for other servers, feel free to contribute them to this project.

If missing ideas, then look at the reference servers at https://github.com/modelcontextprotocol/servers and see if you can implement them in this project.

Other ideas:

  • zulip
  • jfr/java hooked to jmx/jfr
  • quarkus dev mode
  • ...

Contributing

If you have ideas for other servers, feel free to contribute them to this project.

To get started, clone the repository and build it:

git clone https://github.com/quarkiverse/quarkus-mcp-servers
cd quarkus-mcp-servers
mvn clean install

Then run the following command to generate a new server for i.e. jfr:

mkdir jfr
cd jfr
jbang init -t mcp jfr

This will create the jfr directory with a Hello World MCP server.

You can then build it:

mvn clean install

To wire it into the full project you need to add <module>jfr</module> to the root pom.xml file.

Make sure you have added some useful content to the README.md file + updated the demo image.

Then open a PR :)

from github.com/quarkiverse/quarkus-mcp-servers

Installing quarkiverse/mcp-server-jfx

This server has no published package — it is built from source. Open the repository and follow its README.

▸ github.com/quarkiverse/quarkus-mcp-servers

FAQ

Is quarkiverse/mcp-server-jfx MCP free?

Yes, quarkiverse/mcp-server-jfx MCP is free — one-click install via Unyly at no cost.

Does quarkiverse/mcp-server-jfx need an API key?

No, quarkiverse/mcp-server-jfx runs without API keys or environment variables.

Is quarkiverse/mcp-server-jfx hosted or self-hosted?

Self-hosted: the server runs locally on your machine via the install command above.

How do I install quarkiverse/mcp-server-jfx in Claude Desktop, Claude Code or Cursor?

Open quarkiverse/mcp-server-jfx on unyly.org, pick your client tab (Claude Desktop, Claude Code, Cursor) and press Install — the config is generated automatically, no JSON editing.

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