# Containerization

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.

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

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

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.

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.

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

Automated MetaTrader 5 trading strategy optimization and documentation generation system

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) server, including Docker image building, pushing to the Azure Container Registry, and K8s cluster deployment processes, supporting health checks, security protection, and elastic scaling.

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.

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

The IBM i MCP server is a server based on the Model Context Protocol, providing SQL tools, monitoring, and automation functions for the IBM i system, supporting multiple client integrations and containerized deployment

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 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.

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

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

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.

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

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

Configuration example for running the MCP server through Docker containers

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.

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.

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

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

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 provides infrastructure connection services for LLM agents, supporting interaction with databases, file storage, Kafka, and web interfaces. It is deployed in a containerized manner and integrated with Gitlab Agent and LLM Chat to achieve automated data pipeline creation

A secure API key management and npm package installation service