The Quarkus MCP Server facilitates seamless integration between large language model (LLM) applications and external data sources. It supports features like HTTP/SSE transport and offers a declarative API for easy implementation.
The Quarkus MCP Server facilitates seamless integration between large language model (LLM) applications and external data sources. It supports features like HTTP/SSE transport and offers a declarative API for easy implementation.
<dependency>
<groupId>io.quarkiverse.mcp</groupId>
<artifactId>quarkus-mcp-server</artifactId>
<version>${project-version}</version>
</dependency>Add this configuration to your claude_desktop_config.json:
{
"mcpServers": {
"quarkus-model-context-protocol-mcp-server": {
"command": "npx",
"args": [
"-y",
"<dependency>\n <groupId>io.quarkiverse.mcp</groupId>\n <artifactId>quarkus-mcp-server</artifactId>\n <version>${project-version}</version>\n</dependency>"
]
}
}
}Restart Claude Desktop, then ask:
"What tools do you have available from Quarkus Model Context Protocol (MCP) Server?"
No configuration required. This server works out of the box.
"What resources are available in Quarkus Model Context Protocol (MCP) Server?"
Claude will query available resources and return a list of what you can access.
"Show me details about [specific item] in Quarkus Model Context Protocol (MCP) Server"
Claude will fetch and display detailed information about the requested item.
"Create a new [item] in Quarkus Model Context Protocol (MCP) Server with [details]"
Claude will use the appropriate tool to create the resource and confirm success.
See what tools in your stack can connect to AI.
We build custom MCP integrations for B2B companies. From simple connections to complex multi-tool setups.