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WildFly MCP

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WildFly MCP server and other tooling to integrate WildFly in AI space

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Overview

WildFly MCP is a project that provides tooling to integrate WildFly servers with Generative AI capabilities for monitoring and management.

Users can deploy the WildFly MCP server and utilize the WildFly Chat Bot to interact with WildFly servers using natural language. The project includes a container image for easy deployment on cloud platforms like OpenShift.

  • Integration of WildFly servers with AI chatbots for natural language interaction. - Container image for easy deployment in cloud environments. - Support for both STDIO and SSE protocols for chat applications. - Simple MCP server for managing wait times in workflows.
  1. Monitoring WildFly servers using AI chatbots.
  2. Managing server configurations through natural language commands.
  3. Deploying AI-driven solutions in cloud environments with WildFly.

Add to your AI client

Use these steps to connect WildFly MCP in Cursor, Claude, VS Code, and other MCP-compatible apps. The same JSON appears in the Use with menu above for one-click copy.

Cursor

Add this to your .cursor/mcp.json file in your project root, then restart Cursor.

.cursor/mcp.json

{
  "mcpServers": {
    "wildfly-mcp-wildfly-extras": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-wildfly-mcp-wildfly-extras"
      ]
    }
  }
}

Claude Desktop

Add this server entry to the mcpServers object in your Claude Desktop config, then restart the app.

~/Library/Application Support/Claude/claude_desktop_config.json (macOS) or %APPDATA%\Claude\claude_desktop_config.json (Windows)

{
  "mcpServers": {
    "wildfly-mcp-wildfly-extras": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-wildfly-mcp-wildfly-extras"
      ]
    }
  }
}

Claude Code

Add this to your project's .mcp.json file. Claude Code will detect it automatically.

.mcp.json (project root)

{
  "mcpServers": {
    "wildfly-mcp-wildfly-extras": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-wildfly-mcp-wildfly-extras"
      ]
    }
  }
}

VS Code (Copilot)

Add this to your .vscode/mcp.json file. Requires the GitHub Copilot extension with MCP support enabled.

.vscode/mcp.json

{
  "servers": {
    "wildfly-mcp-wildfly-extras": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-wildfly-mcp-wildfly-extras"
      ]
    }
  }
}

Windsurf

Add this to your Windsurf MCP config file, then restart Windsurf.

~/.codeium/windsurf/mcp_config.json

{
  "mcpServers": {
    "wildfly-mcp-wildfly-extras": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-wildfly-mcp-wildfly-extras"
      ]
    }
  }
}

Cline

Open Cline settings, navigate to MCP Servers, and add this server configuration.

Cline MCP Settings (via UI)

{
  "mcpServers": {
    "wildfly-mcp-wildfly-extras": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-wildfly-mcp-wildfly-extras"
      ]
    }
  }
}

FAQ

Can WildFly MCP integrate with any AI chatbot?

Yes! WildFly MCP is designed to work with various AI chatbots that support the necessary protocols.

Is there a container image available for deployment?

Yes! A container image is provided for easy deployment on cloud platforms like OpenShift.

What protocols does WildFly MCP support?

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