Overview
This project aims to define tooling enabling WildFly users to benefit from Generative AI capabilities when monitoring and managing WildFly servers. It centers on an MCP server that can be integrated with an AI chatbot to interact with a WildFly instance using natural language. The ecosystem also includes a WildFly Chat Bot that can work with MCP servers using STDIO and SSE protocols, enabling seamless dialogue between AI assistants and live servers. Container images are provided for the MCP server and the chat bot, simplifying cloud deployments and OpenShift usage. A Java-based MCP gateway (MCP STDIO to SSE gateway) bridges SSE MCP servers with chat applications that only support STDIO, broadening compatibility. A simple Wait MCP Server demonstrates time-delayed actions within workflows. Together, these components enable AI-powered monitoring and management of WildFly, including querying metrics and logs, invoking operations, and orchestrating workflows against running WildFly servers.
Features
WildFly MCP Server
An MCP server that integrates with AI chatbots to enable natural language interaction with WildFly servers.
WildFly Chat Bot integration with MCP
A WildFly Chat Bot capable of interacting with WildFly servers and supporting MCP server integration via STDIO and SSE protocols.
Container Images
Container images for the MCP server and chat bot, enabling cloud deployments and OpenShift examples.
MCP STDIO to SSE gateway
A Java gateway that connects SSE MCP servers to chat applications that only support the STDIO protocol.
Wait MCP Server
A simple MCP server that allows an LLM to wait for a specified number of seconds, useful in workflows.
Who Is This For?
- WildFly administrators:To monitor, manage, and operate WildFly servers using natural language interactions with an AI chatbot integrated via MCP.
- AI chatbot developers:To build and integrate chatbots with WildFly using MCP protocols (STDIO/SSE) for interactive control and automation.
- DevOps engineers:To deploy MCP components and gateways in cloud environments (e.g., OpenShift) using the provided container images.
