WildFly MCP
WildFly MCP is an official MCP server that bridges Large Language Models with running WildFly application servers, enabling natural language monitoring, management, and interaction with JVM instances, logs, metrics, deployments, and CLI operations.
Overview
WildFly MCP is an open-source project from the WildFly team that provides tooling to integrate the popular WildFly application server with Generative AI capabilities. At its core is the WildFly MCP Server, a Quarkus-based fat JAR application that acts as a Model Context Protocol (MCP) server.
It serves as a secure bridge between LLMs (such as those in Claude Desktop or other MCP clients) and one or more running WildFly instances, allowing administrators and developers to manage and monitor Java enterprise servers using natural language.
Features
- Multi-Server Support: Connect to and interact with multiple WildFly running instances simultaneously.
- Rich Data Exposure:
- JVM configuration, version, and runtime details
- Server logs and configuration files
- Prometheus metrics and health status
- Deployed applications and their binary content (e.g., XML descriptors)
- CLI Operations: Execute WildFly CLI commands directly from AI prompts (with gradual feature expansion).
- Predefined Prompts: Built-in user prompts for common tasks that can be discovered and reused.
- MCP Compatibility: Full support for MCP tools and prompts; works with any compliant MCP client (SSE transport).
- Additional Tooling: Includes a WildFly Chat Bot (web-based UI for natural language interaction) and integration with WildFly AI Feature Pack for advanced scenarios like exposing WASM binaries as MCP tools.
Use Cases
- Natural Language Server Administration: Ask your AI assistant "Show me the recent errors in my WildFly logs" or "Deploy this application to server X".
- Monitoring and Troubleshooting: Retrieve real-time metrics, health checks, and configuration details without switching tools.
- Enterprise AI Workflows: Integrate WildFly management into AI-powered DevOps pipelines or chat-based operations centers.
- Educational and Exploratory Use: Let LLMs analyze deployed applications, suggest optimizations, or explain server behavior.
- WASM-Powered Tools: Expose high-performance WebAssembly modules as MCP tools directly within WildFly.
How It Works
The WildFly MCP Server runs as a standalone Quarkus application. It discovers and connects to configured WildFly instances, exposing their data and operations as discoverable MCP tools. AI models can then call these tools to read data or trigger actions, keeping the interaction secure and context-aware.
It is designed to complement existing WildFly management interfaces (CLI, Admin Console, REST, JMX) by adding a conversational AI layer.
Getting Started
- Clone the repository:
git clone https://github.com/wildfly-extras/wildfly-mcp.git - Build and run the WildFly MCP Server (Quarkus fat JAR).
- Configure connection details for your WildFly instances.
- Connect an MCP client (e.g., Claude Desktop) to the server.
- Start interacting with your WildFly servers using natural language prompts.
Detailed instructions are available in the wildfly-mcp-server README.
Related Resources
- WildFly Official Site: https://www.wildfly.org/
- WildFly AI Feature Pack for advanced MCP + WASM integration.
- WildFly Chat Bot component for a web UI experience.
- Conference slides and videos covering the MCP integration in WildFly.
WildFly MCP represents a significant step in bringing AI-native management to enterprise Java application servers.
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