MCPs tagged with # docker

mcp-code-runner is a code execution service built on top of the Model Context Protocol (MCP). It enables users to execute code securely within Docker containers and retrieve the execution results. The tool is designed to support code execution use cases while adhering to the MCP standard for interoperability. A local Docker environment is required for operation.

• ⭐ 14
• MCP
• axliupore/mcp-code-runner

Prometheus MCP Server enables seamless access to Prometheus metrics by providing a standardized Model Context Protocol (MCP) interface. It allows AI assistants and compatible clients to execute PromQL queries, discover and explore metric data, and retrieve instant or range-based results. The server supports authentication via basic and bearer token mechanisms and can be easily deployed via Docker or integrated into multiple development environments.

• ⭐ 282
• MCP
• pab1it0/prometheus-mcp-server

Discord MCP is a server implementing the Model Context Protocol (MCP) for the Discord API using JDA, enabling AI assistants and applications to interact with Discord servers. It facilitates the management of channels, messages, and server information, supporting automation and integration with MCP-compatible clients such as Claude Desktop. Installation is supported via Docker and manual builds with Maven, providing flexibility for deployment. It enables enhanced automation and context management for Discord bots via the standardized MCP interface.

• ⭐ 116
• MCP
• SaseQ/discord-mcp

TSGram MCP connects Claude Code sessions with Telegram using a local server and Docker, enabling AI-powered code assistance within Telegram chats. It allows users to query, edit, and manage codebases directly from their mobile devices, while keeping all data local for privacy. The setup process is streamlined with support for both AI-guided and CLI-based installation, making integration with existing projects simple. A local web dashboard aids in bot management, ensuring secure and efficient context handling between user code and language models.

• ⭐ 90
• MCP
• areweai/tsgram-mcp

mcp-shell enables AI assistants and MCP clients to securely execute shell commands via the standardized Model Context Protocol. Built in Go and leveraging the official MCP SDK, it facilitates structured, auditable, and context-aware access to shell environments. The server emphasizes security through Docker isolation, command validation, resource limits, and comprehensive audit logging.

• ⭐ 44
• MCP
• sonirico/mcp-shell

OpenAPI-MCP is a dockerized server that reads Swagger/OpenAPI specification files and generates corresponding Model Context Protocol (MCP) toolsets. It enables MCP-compatible clients to interact dynamically with APIs described by OpenAPI specs, automatically generating the necessary tool schemas and facilitating secure API key handling. The solution supports both local and remote API specs, offers filtering by tags and operations, and can be easily deployed using Docker.

• ⭐ 150
• MCP
• ckanthony/openapi-mcp

Node.js Sandbox MCP Server provides an implementation of the Model Context Protocol (MCP) for safe and isolated JavaScript code execution in ephemeral Docker containers. It supports on-the-fly npm dependency installation, execution of shell commands, and the management of Node.js environments with resource limits. The server can be integrated with clients like Claude Desktop and is available as a Docker image or via NPX for rapid deployment.

• ⭐ 133
• MCP
• alfonsograziano/node-code-sandbox-mcp

Portainer MCP is an implementation of the Model Context Protocol (MCP) designed for seamless integration between AI assistants and Portainer-managed container environments. It enables management of Portainer resources and allows execution of Docker and Kubernetes commands through AI interfaces in a secure, standardized manner. The tool provides direct protocol-based access to environment data, facilitating automation and operational insights for container infrastructures.

• ⭐ 81
• MCP
• portainer/portainer-mcp

Kestra Python MCP Server enables integration of the Kestra workflow orchestration platform with environments that use the Model Context Protocol (MCP). It provides a Dockerized MCP server for managing workflows, executions, files, namespaces, and more, with support for both Open-Source (OSS) and Enterprise Edition (EE) setups. The server can be configured easily using environment variables and is compatible with tools like VS Code and Claude, making model-driven orchestration accessible and modular.

• ⭐ 16
• MCP
• kestra-io/mcp-server-python

K8s MCP Server provides a Docker-based implementation of Anthropic's Model Context Protocol (MCP), allowing Claude to securely execute Kubernetes CLI tools such as kubectl, helm, istioctl, and argocd within a containerized environment. It integrates with Claude Desktop so users can interact with their Kubernetes clusters using natural language. The server emphasizes security by operating as a non-root user and offering strict command validation, while also supporting major cloud providers like AWS, Google Cloud, and Azure. Easy configuration and support for various Unix tools further enhance its capabilities.

• ⭐ 166
• MCP
• alexei-led/k8s-mcp-server

McGravity acts as a scalable unified proxy and load balancer for multiple MCP (Model Context Protocol) servers. It allows clients to connect through a single endpoint to access and manage multiple MCP servers efficiently. The tool offers load balancing, configuration via YAML, CLI and Docker support, and plans to evolve with features such as health checks and a web interface. Designed for modern GenAI infrastructure, it simplifies connection, balancing, and scalability of MCP server deployments.

• ⭐ 68
• MCP
• tigranbs/mcgravity