# WildFly

> Use this tool when you need to manage and monitor WildFly application servers through a Java-based interface, simplifying administration tasks such as troubleshooting, performance monitoring, and configuration management. It solves problems related to server diagnostics and optimization, providing inputs for server status, resource consumption, and log analysis, and outputs for configuration updates and performance metrics. Ideal for DevOps teams and system administrators seeking to integrate AI assistance into their WildFly server management workflows.

Canonical page: https://skillsregistry.net/skills/jfdenise-wildfly  
JSON: https://api.skillsregistry.net/v1/skills/jfdenise-wildfly

## Description

This WildFly MCP server, developed by the WildFly team, provides a Java-based interface for AI assistants to interact with and manage WildFly application servers. Built using Quarkus and leveraging the Model Context Protocol, it offers tools for monitoring server status, resource consumption, log analysis, and configuration management. The implementation focuses on simplifying WildFly server administration through natural language interactions, making it easier for AI models to assist in troubleshooting, performance monitoring, and server management tasks. It's particularly useful for DevOps teams and system administrators who want to integrate AI assistance into their WildFly server management workflows, enabling efficient server diagnostics and configuration without requiring deep knowledge of WildFly's management interfaces.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** devops-ci
- **Updated:** 2026-09-28

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/jfdenise-wildfly)
- **Repository:** <https://github.com/wildfly-extras/wildfly-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "jfdenise-wildfly"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/jfdenise-wildfly` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/jfdenise-wildfly/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt