WildFly MCP server and other tooling to integrate WildFly in AI space
This project aims to define tooling allowing WildFly users to benefenit from the Generative AI capabilities when monitoring and managing WildFly servers.
WildFly MCP Server{:target=“_blank”}: A WildFly MCP server to integrate with your AI chatbot in order to interact with WildFly server using natural language.
WildFly Chat Bot{:target=“_blank”}: A WildFly Chat Bot to interact with WildFly servers. This AI chatbot allows to also integrate MCP servers (STDIO and SSE protocol).
Container Image{:target=“_blank”}: A container image that contains both the chat bot and the mcp server. Ready to interact with your WildFly servers on the cloud. Example of OpenShift deployment is provided.
MCP STDIO to SEE protocol gateway{:target=“_blank”}: A Java gateway allowing to integrate SSE MCP servers in chat applications that only support STDIO protocol.
Wait MCP Server{:target=“_blank”}: A simple MCP server that allows LLM to wait for some seconds. Can be useful in some workflow.
Mcp Server Ragdocs
An MCP server that provides tools for retrieving and processing documentation through vector search, both locally or hosted. Enabling AI assistants to augment their responses with relevant documentation context.
Python_mcp
MCP Server to run python code locally
Mcp Pubmed Server
PubMed MCP Server for accessing research papers
MCP server for RAG-based document search and management
MCP server providing a knowledge graph implementation with semantic search capabilities powered by Qdrant vector database
A specialized Model Context Protocol (MCP) server that enables AI-powered interview roleplay scenarios
