# Containerization

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.

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

An MCP server project based on Spring Boot that exposes the OWASP ZAP security tool as an MCP protocol service for AI agents to call the scanning function.

MCP Command Server is a secure JSON - RPC API service for remote command execution, with command pattern filtering, containerized deployment, and self - documenting features.

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

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.

The MCP Server Unified Deployment Tool is a solution for standardized management of MCP servers deployed in various forms. It enables unified invocation through the SSE protocol and supports cross - platform and Docker containerized deployment.

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

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

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

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

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

The MCP server based on pyATS enables structured network device interaction through the JSON-RPC 2.0 protocol

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.

A Docker management server based on the Model Context Protocol that provides container management functions through a natural language interface

An MCP protocol server providing services for the Tenor GIF API

MCP Obsidian Docker is a containerized Obsidian server that interacts with Obsidian through the Local REST API plugin, providing a convenient note management interface.

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

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.

An example project of building an MCP server based on Spring AI

Grasp is an open-source and self-hostable humanized browser automation tool that supports the MCP and A2A protocols and can seamlessly integrate with various AI applications. Through Docker containerization deployment, it provides a browser operation experience controlled by natural language.

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.

A Docker management service based on the Model Context Protocol, providing container management functions through a natural language interface, supporting containerized deployment and resource management.

This project is the Kubernetes deployment configuration for the Model Context Protocol (MCP) service, including the Docker image building, Azure Container Registry pushing, and K8s cluster deployment processes, and supports health checks, monitoring, and security protection.

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.

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 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.

Configuration example for running the MCP server through Docker containers

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

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