# 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.

This project provides an AI-assisted MCP server for the DevContainer environment, supporting file system operations, directory management, and security mode switching to achieve seamless collaboration between the AI assistant and the containerized development environment.

This project studies the MCP server deployment scheme used by the research team, including local development configuration and Kubernetes containerization deployment, and explores how to implement team - shared AI tool services.

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

A multi - functional computing and monitoring toolset based on JBang and the MCP server

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.

An MCP protocol server providing services for the Tenor GIF API

This project is an MCP server based on Spring AI, providing CRM campaign management functions, including campaign creation, target rule setting, email content generation, and campaign scheduling. It is deployed through Docker containers.

Automated MetaTrader 5 trading strategy optimization and documentation generation system

AytchMCP is a model context protocol server for Aytch4K applications, supporting interactions with multiple large language models and including functions such as resource management, tool components, and protocol processing.

This is an MCP server implementation project based on SearXNG, providing privacy - protected search capabilities for AI agents. The project is deployed through Docker containerization, supports two transport protocols, SSE and Stdio, and can be easily integrated into MCP - compatible clients.

A collection of Docker - containerized MCP services supporting the integration of Slack, Notion, and GitHub

This project is an implementation of the client and server based on the MCP protocol, including functions such as IP information query, and supports running through Docker containers or development containers.

This project implements an MCP server based on pyATS and Genie, providing structured, model-driven network device interaction capabilities through the JSON-RPC 2.0 protocol. It supports the secure execution of CLI commands, configuration changes, and data collection, and is suitable for containerized or LangGraph integration scenarios.

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.

The Octopus Deploy MCP server is an interactive tool based on the MCP protocol, providing functions for project management, version release, and deployment management, and supporting multi-space operations and Docker containerized deployment.

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.

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

Configuration for building and running test projects using Docker

Configuration example for running the MCP server through Docker containers

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

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 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.

An AI assistant chat project based on Gradio, integrating OpenAI API and Nmap tools, providing file system access and network scanning functions.

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

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

MCP - ChatBot is a chatbot application based on the Modular Capability Protocol (MCP). It integrates weather services and the GPT - 4o model through a containerized architecture to provide natural language interaction capabilities.

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.