# Containerization

The WildFly MCP project aims to provide WildFly users with tools to monitor and manage servers using generative AI capabilities, including components such as MCP servers, chatbots, container images, and protocol gateways.

The MCP Server is a server that provides AI assistants with the ability to perform web searches and access web pages, supporting the secure acquisition of real-time information and the processing of web page content.

BaseMcpServer is a basic Docker - based MCP server image that provides a standardized Python environment and protocol support for quickly building and deploying MCP services.

Configuration example for running the MCP server through Docker containers

Blue Bridge is a tool for querying and managing Azure resources through the MCP server, supporting zero-key authentication and covering various Azure service scenarios such as Grafana and Kusto.

The AWS Boto3 MCP Server is a Python-based MCP service designed to monitor and manage AWS account resources by executing code through the Boto3 client of the AWS Python SDK. The service uses a front - end MCP server and a back - end AWS LightSail container architecture and ensures security by requiring the client to provide valid AWS credentials.

This project provides Docker configuration for containerized operation of the Salesforce MCP server.

Automated MetaTrader 5 trading strategy optimization and documentation generation system

Elfa MCP is a multi - language project, including Python and TypeScript versions, providing containerized deployment options and detailed documentation.

The MCP Secure Installer is an automated tool for installing and containerizing MCP servers from GitHub repositories, supporting multi - server management.

A containerized server implementation integrating Redis and MCP protocol, providing Redis operation interfaces and Docker support.

The OWASP ZAP MCP server is a protocol server that integrates the Zed Attack Proxy security scanning tool with an AI assistant. It supports multiple scan types and containerized deployment, enabling shift-left security testing in development.

An MCP server based on containerized Kali Linux that provides the ability to execute commands for penetration testing and security research tools, supporting background task management and interactive vulnerability detection.

VulniCheck is an AI - driven security scanner that provides comprehensive security analysis for Python projects and GitHub repositories. It runs as a Docker - based HTTP MCP server, supports standard HTTP streaming, and offers containerized deployment and comprehensive vulnerability scanning capabilities, including dependency checking, key detection, Docker file analysis, and AI risk assessment.

MCPwner is a security research automation server based on the Model Context Protocol, integrating multiple security testing tools (SAST, SCA, secret scanning, etc.) to provide a unified interface for LLM - driven security analysis workflows.

A headless Gmail server that provides email sending and receiving functions through the MCP protocol

A secure API key management and npm package installation service

Model Context Protocol Daemon is a tool for managing MCP servers, supporting functions such as quick installation and multi - instance management.

This is an MCP server project that provides a standardized interface for the Polymarket prediction market. It supports deployment through Docker containers and provides functions such as market data query, event information acquisition, and order book viewing, making it convenient for AI assistants to analyze prediction markets.

The MCP Secure Installer is an automated tool used to install and containerize the MCP server from a GitHub repository. It utilizes the MCP sampling function to analyze the repository and create the corresponding Docker image.

An implementation of the MCP protocol by Selector AI, providing real-time interactive AI services

An MCP server based on the R language, providing ggplot2 data visualization and R script execution functions, supporting multiple output formats and Docker containerized operation.

A Twitter API server that doesn't require local authentication, providing core Twitter operation functions

A simple calculator service based on a custom model context protocol (MCP), supporting basic arithmetic operations and deployed via Docker containers.

Posuer is a powerful MCP protocol manager that serves as a bridge between LLM clients and multiple MCP servers, providing containerized isolation, dynamic configuration reloading, multi-server capability aggregation, and intelligent routing.

A lightweight MCP server implementation that exposes custom tools via SSE for AI client integration.

A Docker container that converts any stdio-based MCP server to an SSE interface, supports Node.js and Python servers, allows customization of ports and paths, and is suitable for Kubernetes deployment.

MCP-Mealprep is a Docker-based MCP server collection project that provides various AI tools and services through containerized deployment, supporting secure updates and flexible expansion.

A service that provides a Model Context Protocol (MCP) interface for Prometheus, supporting the execution of PromQL queries, exploration of metric data, and providing authentication and containerized deployment support.

LibreChat integrates the MCP server through Supergateway bridging, extending the multi - tool proxy ability and supporting containerized deployment and the SSE communication protocol.