# Containerization

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

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

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 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.

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

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.

Configuration example for running the MCP server through Docker containers

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

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

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 server based on the Chrome debugging protocol, enabling browser automation and maintaining the login state. It can connect to an existing Chrome instance for persistent operations without installing extensions.

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.

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.

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

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.

MCP Serve is a powerful deep learning model server tool that supports deployment through Shell execution, Ngrok connection, or Docker containers, and integrates multiple advanced AI technologies.

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

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.

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.

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.

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.

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

Configuration for building and running test projects using Docker

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.

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

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