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WildFly MCP

@jfdenise

リポジトリ

WildFly MCP について

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

#ai#wildfly

基本情報

カテゴリ

AI とエージェント

ライセンス

Apache-2.0

ランタイム

java

トランスポート

stdio

公開者

jfdenise

設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

{
  "mcpServers": {
    "wildfly": {
      "command": "java",
      "args": [
        "-jar",
        "[path to the repository]/wildfly-mcp-server/target/wildfly-mcp-server-1.0.0.Final-SNAPSHOT-runner.jar"
      ]
    }
  }
}

ツール

ツールは検出されませんでした

ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。

概要

What is WildFly MCP?

WildFly MCP is a project that provides tooling for WildFly users to benefit from Generative AI capabilities when monitoring and managing WildFly servers. It includes an MCP server that integrates with AI chatbots, a dedicated chat bot, container images, a protocol gateway, and a wait server.

How to use WildFly MCP?

The README does not include installation or configuration instructions. Users should refer to the individual sub‑module READMEs (wildfly-mcp-server, wildfly-chat-bot, container-images, etc.) for detailed setup and usage.

Key features of WildFly MCP

  • MCP server for integrating WildFly with AI chatbots using natural language
  • Dedicated WildFly Chat Bot for server interaction
  • Container images for cloud and OpenShift deployment
  • MCP STDIO to SSE protocol gateway for chat applications
  • Wait MCP server to delay LLM actions in workflows

Use cases of WildFly MCP

  • Monitoring WildFly servers through natural language queries
  • Managing WildFly configurations via an AI chatbot
  • Deploying WildFly management agents in cloud environments
  • Chaining multiple MCP servers with different protocol transports

FAQ from WildFly MCP

What does WildFly MCP do compared to alternatives?

—

What are the runtime dependencies?

—

Where is data stored?

—

Are there any known limitations?

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What transports and authentication methods are supported?

—

コメント

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