#docker

Deploy and manage Bult.ai cloud hosting projects from MCP clients like Cursor, Claude Desktop, and Claude Code. Create projects and services, deploy GitHub repositories or Docker images, manage routes and volumes, inspect logs, and troubleshoot deployments from your AI assistant.

Deploy and manage Bult.ai cloud hosting projects from MCP clients like Cursor, Claude Desktop, and Claude Code. Create projects and services, deploy GitHub repositories or Docker images, manage routes and volumes, inspect logs, and troubleshoot deployments from your AI assistant.

An MCP (Model Context Protocol) server that inspects your local development environment and reports missing dependencies, version mismatches, and misconfigured environment variables to any MCP-compatible AI assistant. Works with Claude Desktop, Cursor, Gemini CLI, and any other client that supports stdio-transport MCP servers.

An MCP server that connects AI assistants to Ambient Weather personal weather stations. Built with Python FastMCP. Exposes three tools: ping (health check), get_devices (lists all stations on your account with latest readings), and get_current_weather (full weather report for a specific station by MAC address). Includes a 60-second TTL cache that respects Ambient Weather's API rate limits. Supports OS keyring for local development and environment variables for containerized deployments. Distributed as a Docker image with a multi-stage build, non-root user, and OCI labels. Tested live against real weather stations with Claude Desktop, VS Code, and Kiro.

TypeScript stdio MCP server for operating Docker-based local-ydb deployments via local or SSH-backed profiles. Supports bootstrap, diagnostics, auth hardening, schema permissions, storage workflows, dump/restore, upgrades, and plan-first mutating operations.

Minimal Proxmox VE MCP server for Claude — 38 tools, one Docker command, read-only by default

A sandboxed, agentic workspace providing secure filesystem, bash, and uv-powered Python execution.

Your Data. Your AI. Your Rules. Ontheia is a self-hosted, open-source AI agent platform. Run AI agents, automate workflows, and connect AI models to any tool — entirely on your own infrastructure, without sending data to external cloud services.

DSM for developers — start, stop, audit, and analyze your entire dev stack with one command. MCP server with 27 tools for Claude Desktop & Claude Code. Supports Windows, WSL, macOS, Linux, and Docker. Built in Rust.

Loads 150+ AI tools into Claude Desktop via a single Docker command. Aggregates Business Intelligence, API Hub, Content Automation, and Intelligence MCP servers behind one gateway with centralized logging and tool routing. Windows-native, no platform engineer required.

Kilntainers is an MCP server that gives LLM agents isolated Linux sandboxes for executing shell commands. 🧰 Multiple backends: Containers (Docker, Podman), cloud-hosted micro-VMs (Modal, E2B), and WebAssembly sandboxes (WASM BusyBox, or any WASM module). 🏝️ Isolated per agent: Every agent gets its own dedicated sandbox — no shared state, no cross-contamination. 🧹 Ephemeral: Sandboxes live for the duration of the MCP session, then are shut down and cleaned up automatically. 🔒 Secure by design: The agent communicates with the sandbox over MCP — it doesn’t run inside it. No agent API keys, code, or prompts are exposed to the sandbox. 🔌 Simple MCP interface: A single MCP tool, sandbox_exec, lets your agent run any Linux command. 📈 Scalable: Scale from a few agents on your laptop to thousands running in parallel in the cloud.

MCP server for Webmin system administration. 61 tools across 12 modules covering system monitoring, services, users, cron, packages, files, storage (SMART + LVM), security (Fail2ban), MySQL databases, Webmin ACL, and disk quotas. Four-tier safety framework with safe mode on by default. Python, MIT license, Docker and local deployment supported.

Condition watcher for AI assistants — wait for ports, files, URLs, processes, and more

MCP server for the FortiMonitor v2 monitoring API. 241 tools across 33 modules covering server management, outage monitoring, maintenance windows, metrics, notifications, cloud monitoring, SNMP, dashboards, reporting, and more. Unofficial community project, not affiliated with Fortinet. Python, MIT license, Docker and local deployment supported.

Deploy, manage, and scale full-stack applications directly from your AI assistant. CreateOS MCP gives you 75+ tools covering project creation, GitHub/Docker/file deployments, environment management, databases (PostgreSQL, MySQL, Kafka, Valkey), security scanning, compute management, template marketplace, and billing — all from a single MCP endpoint.

Enterprise-grade (40m+ lines) codebase intelligence in a zero-setup, private and local MCP: managed indexing, hybrid semantic search, polyglot code dependency graphs, and DB/API/infra knowledge. Benchmark: 61% less tokens, 84% fewer calls, 37x faster than standard AI grep.

MCP server for the CI-1T prediction stability engine. 20 tools + 1 resource. Evaluate model stability, probe any LLM for instability (BYOM - bring your own model), manage fleet sessions, detect drift, generate visualizations, and control API keys. 7 tools work locally with no auth or credits. 1,000 free credits on signup.

A production-grade Model Context Protocol (MCP) server for Microsoft SharePoint. Connect Claude Desktop, VS Code Copilot, Cursor, Continue, or any MCP-compatible AI agent to your SharePoint — read files, manage folders, and reason over your organisation's knowledge.

Structured failure knowledge for AI agents — 1,000+ errors across 20 domains. Dead ends, workarounds, error chains, and freshness tracking.

Structured failure knowledge for AI agents — 501 errors across 14 domains. Dead ends, workarounds, and error chains.

Sandboxed Python execution for AI agents. Scripts run in ephemeral, isolated environments (bubblewrap on Linux, Docker on macOS) with PEP 723 inline dependencies — zero host pollution, zero leftover venvs, zero package conflicts. Supports multi-version Python (3.13–3.15), configurable timeouts, and output truncation.

Persistent semantic memory for Claude Code, chats AND code. 74+ MCP tools, local pgvector embeddings, codebase indexing with 14 language extractors, multi-agent team coordination. Self-hosted, zero cloud dependency.

Markdown-First MCP Server for Notion - Composite Actions, Auto-Pagination, Bulk Operations optimized for AI Agents

A Model Context Protocol (MCP) server that provides secure SSH capabilities for AI assistants, enabling remote command execution, SFTP file transfers, and port forwarding with comprehensive security controls. Features: - 🔐 Secure SSH Command Execution - Execute commands on remote servers with granular security controls - 🛡️ Host Allowlisting - Only connect to pre-configured, trusted servers - 📁 SFTP File Operations - Upload, download, list, and delete files on remote servers - 🌉 SSH Port Forwarding - Create secure tunnels to access remote services - 🔄 Connection Pooling - Persistent connections with automatic management - 🔑 SSH Key Authentication - Secure authentication using SSH private keys - ⚙️ SSH Config Integration - Import servers from your existing SSJ config file - ✅ Command Allowlisting - Restrict which commands can be executed - 📦 Named Services - Pre-configured port forwarding services for common use cases - 🎯 Command Templates - Reusable parameterized commands with variable substitution

Docker MCP Server A comprehensive Model Context Protocol (MCP) server that provides advanced Docker operations through a unified interface. This server combines 16 powerful Docker MCP tools with 25+ convenient CLI aliases to create a complete Docker workflow solution for developers, DevOps engineers, and system administrators. 🌟 What Makes Docker MCP Server Special Docker MCP Server is not just another Docker wrapper - it's a complete Docker workflow enhancement system designed to make Docker operations more intuitive, secure, and efficient: 🎯 Unified Interface MCP Protocol Integration: Seamlessly works with MCP-compatible tools and IDEs CLI Convenience: 25+ carefully crafted aliases for common Docker workflows Consistent API: All operations follow the same patterns and conventions Cross-Platform: Full support for Linux, macOS, and Windows environments 🔒 Security-First Design Docker-Managed Security: All password operations handled by Docker daemon for maximum security Zero Password Exposure: Passwords never appear in command history, process lists, or arguments Token Authentication Support: Full support for Personal Access Tokens and service accounts Registry Flexibility: Secure login to Docker Hub, AWS ECR, Azure ACR, Google GCR, and custom registries CI/CD Security: Secure stdin password input for automated deployment pipelines Permission Management: Proper handling of Docker daemon permissions and credential storage 🚀 Developer Experience Comprehensive Help System: Every command includes detailed documentation with --help Smart Defaults: Sensible default configurations for common use cases Error Prevention: Built-in safety checks and confirmation prompts for destructive operations Rich Output: Formatted, colored output with clear status indicators 📊 Advanced Operations Complete Container Lifecycle: From build to publish with comprehensive registry support Multi-Container Management: Docker Compose integration with service orchestration Registry Publishing: Advanced image publishing with multi-platform support and automated workflows Network & Volume Management: Advanced networking and storage operations System Maintenance: Intelligent cleanup tools with multiple safety levels Development Workflows: Specialized commands for development environments

MCP-Airflow-API is a Model Context Protocol (MCP) server that transforms Apache Airflow REST API operations into natural language tools for LLM integration. Built for DevOps engineers, data engineers, and Airflow administrators who need intuitive cluster management capabilities.

MCP server for Roll Docker Stack and multi-framework development environments.

A comprehensive JSON Schema validation server implementing the Model Context Protocol (MCP) with support for JSON Schema Draft 2020-12, external references, schema management, and real-time streaming validation.

Dockerized MCP Server connected to Obsidian Vault with Local REST API. (rewritten completely with BUN to make it faster and more lightweight)

🧠 Automated AI conversation recording and knowledge management system with MCP integration for Claude Desktop, VSCode, and Cursor

Model–Context–Protocol (MCP) Server A modular, extensible Rust-based server providing short-term, long-term, and latent memory services, a chat endpoint backed by a BaseAgent + Sentience DSL, and seamless integration with ChromaDB and LLM services.

Gateway MCP Server - Routes tool calls to Docker-based MCP backends

Web Search OpenAPI/MCP server for Open-WebUI, Cherry-Studio etc, via Google and SearXNG

Dockerized MCP server environments for seamless agent-tool integration.

MCP Sandbox transforms JavaScript modules into secure MCP servers, enabling AI systems to access functions safely. With automatic reflection and type inference, it simplifies the integration process for developers. 🛠️💻

一部分mcp 服务自动打包

Mirror of

A Model Context Protocol (MCP) Gateway. Serves as a central management point for tools, resources, and prompts that can be accessed by MCP-compatible LLM applications. Converts REST API endpoints to MCP, composes virtual MCP servers with added security and observability, and converts between protocols (stdio, SSE).

This repository contains files for Crypto Price Tracker MCP Server using Coingecko API.

MCP (Model Context Protocol) client for GitHub Multi-User Server with Claude integration. Interactive chat interface for GitHub operations using natural language.

Revolutionary MCP server with surgical precision editing for Confluence - industry's first XML-aware selective content modification MCP system for AI assistants

Local Docker setup for GitHub MCP Server with docker-compose

🚀 Your Private App Platform - Deploy Node.js, Python, Go, Java & more to CapRover, AWS, GCP with one CLI. Features MCP integration for Cursor.com, smart collision detection, auto-SSL, and costs 80% less than Heroku. Transform any $5 server into your personal Vercel.

A Dockerized MCP server setup to deploy onto remote development servers

A MCP project built with Python, FastMCP, Ollama, Open-webUI, FastAPI, and Docker.

DockaShell is an MCP server that gives every AI Agent its own isolated Docker container — complete with file access, shell execution, and full action traceability.

This repository contains hands-on projects, code examples, and deployment workflows. Explore multi-agent systems, LangChain, LangGraph, CrewAI, RAG, automation with n8n, and scalable agent deployment using Docker, AWS, and BentoML.

The MCP Registry offers a centralized service for managing Model Context Protocol server entries. 🌐 Join us in shaping this project and explore the features through our RESTful API! 🚀

🚀 MCP-Launchpad: Your one-stop hub for easily deployable MCP servers! 🐳 Dockerized & AI-agent ready. Launch powerful tools for your AI in minutes. ✨

Docker Compose setup for multiple MCP servers (Oracle, PostgreSQL, Jira, etc.) with Nginx proxy, enabling AI assistants to access databases and services via SSE interface.

API service to search vectorized Cursor IDE chat history using LanceDB and Ollama

Enhanced MCP server for SearXNG: category-aware web-search, web-scraping, and date/time retrieval.

Model Context Protocol MCP Server for Docker Commands. Provides Docker and Docker Swarm commands as MCP Tools.

docker-based mcp server that enables Claude to fetch biological sequence data from NCBI

Node.js server implementing the Model Context Protocol (MCP) for running arbitrary JavaScript in ephemeral Docker containers with on‑the‑fly npm dependency installation.

Docker Container with Useful MCP Servers

Let AI agents like ChatGPT & Claude use real-world local/remote tools you approve via browser extension + optional MCP server

MCP server to play with IA and containerlab instances

MCP server for Google Calendar integration with AI assistants

A template for how to build an MCP server

Yet another WebUI for Nginx

基于Typescript实现的Notify MCP Server，支持Docker一键部署到remote｜local

Docker 기반 MCP 서버

This is a quick start guide that provides the basic building blocks to set up a remote Model Context Protocol (MCP) server using Azure Container Apps. The MCP server is built using Node.js and TypeScript, and it can be used to run various tools and services in a serverless environment.

A Model Context Protocol server providing AI assistants with access to healthcare data tools, including FDA drug information, PubMed research, health topics, clinical trials, and medical terminology lookup.

Open-source Model Context Protocol (MCP) server for Dart & Flutter. Exposes SDK tools and project resources for AI-driven workflows, automation, and remote development

Discover artifacts across OCI-compliant registries with ease

Distribute Artifacts Across OCI Registries With Ease

Allow LLMs to run ANY code/configuration safely in isolated Docker containers using the Model Context Protocol (MCP).

A Model Context Protocol (MCP) server that enables LLMs to run ANY code safely in isolated Docker containers.

Foundational backend for MCP infrastructure.

An MCP sse implementation of the Model Context Protocol (MCP) server integrated with SearXNG for providing AI agents with powerful, privacy-respecting search capabilities.

Docker's MCP Server

OAuth2 Authorization Server with Spring Boot 3 and Java 24

Dockerized MCP servers for portability

🔥 1Panel provides an intuitive web interface and MCP Server to manage websites, files, containers, databases, and LLMs on a Linux server.

This will show you how to do mcp server using as container

A safe MCP Python Runner with Docker Image

A Model Context Protocol (MCP) server for Pi-hole

A Registry for a MCP Servers

Python MCP server for MySQL

An ntfy MCP server for sending ntfy notifications to your self-hosted ntfy server 📤 (supports secure token auth - use with npx or docker!)

Containerized versions of hundreds of MCP servers 📡 🧠

This project takes a number of MCP servers from GitHub locations, packages them together with this repo's GHCR container, and launches them with docker-compose to run as a stack for ML/AI resources.

A simple implementation of MCP Client/Server architecture with HTTP SSE transport layer, dockerized.

MCP server for reading and writing local files

An ntfy MCP server for sending/fetching ntfy notifications to any/self-hosted ntfy.sh server from AI Agents 📤 (supports secure token auth & more - use with npx or docker!)

ローカル環境でQdrantとMCP-server-qdrantを簡単に立ち上げるためのDocker Compose設定

Dockerized version of MCP Obsidian server for Obsidian Local REST API integration

Redis MCP Server - Python implementation with docker

MCP Server that runs on Docker with connect to Atlassian.

A really simple MCP server for Jira, which uses docker for easy deployment.

This project provides a Docker Compose environment to run the '@playwright/mcp' server.

DockerでMCPサーバを作成するサンプル

This is an MCP (Model Context Protocol) server that allows executing shell commands within a Docker container. It provides a secure and isolated environment for running commands without giving access to the host Docker daemon.

K8s-mcp-server is a Model Context Protocol (MCP) server that enables AI assistants like Claude to securely execute Kubernetes commands. It provides a bridge between language models and essential Kubernetes CLI tools including kubectl, helm, istioctl, and argocd, allowing AI systems to assist with cluster management, troubleshooting, and deployments

MCP Server for Docker

A documentation AI Agent built with LangGraph, MCP Docs, and Chainlit, designed to help users create different projects using natural language.

Simple MCP Server w/ Shell Exec. Connect to Local via Ngrok, or Host Ubuntu24 Container via Docker

MCP server for enabling AI use local k8s resources

MCP servers for DevOps tools and integrations. Created and maintained by the a37 team.

mcp_server

An MCP server to create secure code sandbox environment for executing code within Docker containers. This MCP server provides AI applications with a safe and isolated environment for running code while maintaining security through containerization.

A lightweight service that enables AI assistants to execute AWS CLI commands (in safe containerized environment) through the Model Context Protocol (MCP). Bridges Claude, Cursor, and other MCP-aware AI tools with AWS CLI for enhanced cloud infrastructure management.