This project is an implementation of an MCP server integrated with the Sonar API, providing real-time web search capabilities for Claude. It includes guides on system architecture, tool configuration, Docker deployment, and multi-platform integration.

An MCP server for managing Docker through natural language, supporting container orchestration, debugging, and data management.

A Docker operation protocol server based on Claude AI, providing functions such as container and Compose stack creation, deployment, and log viewing.

A lightweight MCP server that provides real-time weather data query and parsing functions for AI assistants such as Claude. Supports both local and remote deployment methods, including Docker containerization solutions.

This is an AI development tool project based on Docker containers. It uses Markdown files to write complex workflows, combines Dockerized tools with the LLM model selected by the user, and implements a workflow of multi - model agents and project - priority design.

This project uses a branch-triggered mechanism to manage the publishing process of NPM packages and Docker images, including automatic version management, multi-platform building, and publishing verification functions.

A secure code sandbox environment based on Docker containers, providing an isolated execution space for AI applications.

A secure Docker container code sandbox environment that provides an isolated execution space for AI applications, supporting multiple programming environments and file operations.

This project is a collection of MCP servers designed for Kali Linux, aiming to enhance reverse engineering, security testing, and automation workflows. It integrates tools such as Nmap and Wireshark and provides Docker sandbox support.

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

A Docker - based Minecraft server management tool that enables AI interaction with the Minecraft server through RCON

The ORAS MCP Server is a proxy - mode service for VS Code that supports running through a Docker container and provides query functions for container image platforms and signature information.

An MCP server that provides an isolated Docker environment, supporting code execution, package installation, and environment configuration in multiple programming languages

A server based on the Model Context Protocol (MCP) that provides Docker management functions through natural language.

This project enables querying Dataverse environments using SQL via the MCP protocol, supports AI tools such as GitHub Copilot and Claude Desktop, and provides two installation methods: the dotnet tool and Docker container.

A Docker-based secure code execution environment that provides isolated sandbox support for the MCP protocol

mcp-chat is an open-source and general-purpose MCP client tool for testing and evaluating MCP servers and proxies. It supports command-line interaction and web mode, can connect to various MCP servers (JS/Python/Docker), and provides functions such as chat history recording, model selection, and system prompt customization to help developers debug MCP services.

The AWS EC2 Pricing MCP Server provides real-time EC2 price query services and supports direct use through Docker or Python.

The Chronulus MCP service is a prediction agent server designed for Claude AI, supporting installation and configuration in multiple ways, including pip, docker, and uvx, and can be integrated with services such as the file system and network requests.

An HTTP SSE client/server project based on Docker containers, supporting tool query and Q&A functions

This project is a multi - tool integration and code execution platform based on FastMCP. It supports importing MCP tools from local and SSE clients, provides Docker deployment and streaming code execution management, and is suitable for various tool invocation scenarios such as chemical information query and web page parsing.

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.

This project uses Docker to build an MCP server that integrates Redis and TimescaleDB, providing features such as fast deployment, automatic restart, and useful scripts.

Data Agents is a GenAI - based data engineering agent platform that automates data workflows through multi - agent collaboration, supports multiple AI backends and n8n integration, and provides a modern UI interface and Docker deployment solution.

An enterprise-level MCP server that provides intelligent analysis of GitHub repositories and AI development assistance, including 11 tools, supporting Docker deployment and real-time monitoring.

An MCP server implemented in Go language for obtaining the answers to the daily Wordle puzzles through the Wordle API. Supports two deployment methods: quick Docker deployment and local running.

An OAuth2 authorization server project based on Spring Boot 3 and Java 24, supporting GraalVM native images, CRaC checkpoint restoration, local AI model testing, and Docker deployment.

A comprehensive security operations platform integrating multiple security tools, providing a unified interface to run various security scanning and testing tools, supporting Docker deployment and JSON format output.

The MCP Git Commit Generator is a tool based on the Model Context Protocol that can automatically generate commit messages conforming to the Conventional Commits specification based on staged git changes. It supports multiple installation methods (uvx, PyPI, Docker) and various MCP client configurations, provides functions such as automatic commit message generation and git status checking, and includes developer tools and debugging support.

Conduit is an MCP server that provides API integration for Phabricator and Phorge, supports HTTP/2 and type safety, and can be run through a Docker or HTTP/SSE server.

Archon is an intelligent system for autonomously constructing and optimizing AI agents. It demonstrates key principles of modern AI through iterative development, including agent reasoning, domain knowledge integration, and scalable architecture. The current version V4 provides a comprehensive Streamlit interface, supports Docker deployment, and integrates with MCP services for seamless docking of the AI IDE.

The K8s MCP Server is a Docker-based server that implements Anthropic's Model Context Protocol (MCP), allowing Claude to run Kubernetes CLI tools (such as kubectl, helm, etc.) in a secure containerized environment to help users manage, diagnose, and optimize Kubernetes clusters.

A simple MCP server project that supports local connection via Ngrok or Docker container deployment and provides Shell execution functionality.

The MCP server officially provided by LAPRAS is used to access and operate job - seeking, work experience and other information on the LAPRAS platform through AI tools. It supports rapid deployment through npm or Docker and provides multiple functions such as job search and work experience management.

The Quantum Simulator MCP Server is a Docker image that provides quantum circuit simulation functionality and supports integration with clients through the MCP protocol.

Sandbox MCP is a model context protocol server that allows LLMs to run code in secure Docker containers, solving the security problem of the inability to test code generated by AI.

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 demonstrates how to use Go language to create a server based on the Model Control Protocol (MCP) and deploy it via a Docker container. This MCP server provides a tool that allows LLMs to retrieve web content through the curl command, thereby enhancing the functionality of LLMs.

A secure MCP server based on Docker containers, providing an isolated Shell command execution environment

The Gemini MCP Server is a middleware designed for the Claude desktop application, enabling image generation through Google's Gemini AI model. This project provides a convenient installation and configuration wizard, supports Docker containerized deployment, and allows users to customize generation parameters.