Docker is a software platform that allows you to build, test, and deploy applications quickly using containers. Containers let developers package up an application with all of the parts it needs, such as libraries and other dependencies, and ship it all out as one package.
Why this server?
Supports containerized deployment of the Chronulus MCP server using Docker images
Why this server?
Supports running the MCP server in a Docker container, providing an isolated environment with all dependencies for the Lara Translate integration.
Why this server?
Provides instructions for running the MCP server in a containerized environment using Docker.
Why this server?
Supports containerized deployment of the BICScan MCP Server, enabling easy setup and isolation of the server environment.
Why this server?
Offers Docker configuration for containerized deployment of the MCP Firebird server alongside a Firebird database, with detailed Dockerfile and docker-compose examples for production use.
Why this server?
Provides tools for checking available tags for Docker container images from Docker Hub
Why this server?
Provides containerized deployment through Docker Compose, allowing for easier setup and management of the MCP server environment.
Why this server?
Allows containerized deployment of the MCP server using Docker, with configuration through environment variables and port publishing.
Why this server?
Optional containerization platform for deploying the MCP server in an isolated environment.
Why this server?
Provides secure code execution in isolated Docker containers, used for safely running user-provided code snippets.
Why this server?
Provides containerized deployment of the Postgres MCP server with automatic hostname remapping to work from inside containers on different operating systems.
Why this server?
ATLAS integrates with Docker for simplified installation and running of Neo4j. Docker-compose is included in the repository for self-hosting the Neo4j database.
Why this server?
Provides a containerized deployment option for the Yahoo Finance MCP server, allowing users to run the server in an isolated environment without installing dependencies.
Why this server?
Provides tools for running the ORAS MCP Server inside a Docker container, making deployment and execution straightforward without local installation requirements.
Why this server?
Docker support is in progress as mentioned in the 'In Progress' section
Why this server?
Enables running the MCP server in a containerized environment with Docker, maintaining Kaggle API credentials through environment variables.
Why this server?
Uses Docker to run GraphDB and provide SPARQL endpoint functionality
Why this server?
Provides Docker-based deployment options for running the MCP server in a containerized environment, with configuration examples for both VS Code and Claude Desktop.
Why this server?
Provides Docker container deployment option, allowing users to run the PDF reader MCP server in an isolated environment with project directory mounting.
Why this server?
Provides containerized deployment of the MCP server, supporting both interactive stdio mode and Streamable HTTP mode with port mapping.
Why this server?
Supports containerized deployment through Docker, allowing the memory server to be run in isolated containers with appropriate build and run commands.
Why this server?
Provides containerized deployment options with pre-built Docker images that can be pulled from Docker Hub, along with Docker Compose configurations for easier setup.
Why this server?
Provides containerized deployment option with official Docker images available on Docker Hub and GitHub Container Registry for running the server in a containerized environment.
Why this server?
Provides integration with Docker through the devcontainers CLI, enabling tools to initialize, start, and execute commands within development containers for consistent development environments.
Why this server?
Supports deployment as a Docker container, allowing the Monday.com MCP server to be run in containerized environments.
Why this server?
Supports running and extending the proxy as a Docker container, with instructions for creating custom Docker images and Docker Compose setup.
Why this server?
Provides a Docker deployment option with path mapping capabilities to enable file operations between the host and container when using storage-related commands.
Why this server?
Offers a containerized deployment option that communicates with Unity over the network.
Why this server?
Offers Docker deployment support, making it easy to containerize and deploy the MySQL MCP server in various environments.
Why this server?
Offers containerized deployment of the mindmap conversion service with specific tools for generating either HTML content or files saved to mounted volumes
Why this server?
Runs commands within an isolated Docker container environment without giving access to the host Docker daemon.
Why this server?
Supports containerized deployment of the MCP image extraction service through Docker, allowing for isolated and portable execution environments.
Why this server?
Supports containerized deployment through Docker, with configuration options for running the MCP server as a Docker container.
Why this server?
Enables running an OpenSearch cluster through Docker Compose for development and testing purposes, with a preconfigured 3-node cluster setup.
Why this server?
Runs as a containerized service with special configurations for host connectivity, allowing MySQL database access from Docker environments with proper networking setup.
Why this server?
Supports Docker-based deployment using docker-compose for containerized production environments
Why this server?
Supports deployment using Docker and Docker Compose for containerized deployment
Why this server?
Provides Docker setup and deployment options for running the MCP server with Docker Compose, including build, run, and monitoring commands.
Why this server?
Allows to create Railway services from Docker images.
Why this server?
Supports running the code assistant server in a Docker container, with specific configuration instructions for integration
Why this server?
Provides containerized deployment of MCP servers through Docker, enabling isolated execution environments for dynamically created servers.
Why this server?
Provides Docker container deployment for the Valyu MCP server, allowing users to run the server in an isolated environment.
Why this server?
Offers containerized deployment of the MCP server with a REST API exposed on port 9097, enabling seamless integration with Docker environments.
Why this server?
Provides configuration support for connecting to Chrome running in Docker containers, with specific setup instructions for containerized environments.
Why this server?
Provides Docker-based setup for easy deployment of the MCP server, with Docker Compose support for building, running and managing the server container.
Why this server?
Enables container and Docker Compose stack management, including creation of standalone containers, deployment of compose stacks, retrieval of container logs, and listing of container status and information.
Why this server?
Provides Docker-based deployment option for running the MCP server, with environment variable configuration for authentication.
Why this server?
Provides containerized deployment options through Docker, including GitHub Container Registry integration
Why this server?
Enables execution of code in Docker containers, allowing LLMs to run isolated code environments for data processing or computation tasks.
Why this server?
Provides an alternative deployment method for running the Dart MCP server in a containerized environment.
Why this server?
Supports integration patterns for deploying the storage server within Docker containers as mentioned in the integrations guide.
Why this server?
Enables running the MCP server as a containerized application with configurable environment variables for Couchbase settings.
Why this server?
Provides containerized deployment of the MCP server through Docker, with support for Docker Compose to easily run both the ThingsPanel MCP server and MCP Inspector for debugging.
Why this server?
Provides containerization support for easier deployment and isolated execution of the MCP server
Why this server?
Provides Docker container deployment options for easy setup and consistent runtime environments.
Why this server?
Enables deployment of the MCP server using Docker Compose for containerized setup and management.
Why this server?
Supports running Azure Storage Emulator through Docker during local development for testing blob storage operations.
Why this server?
Provides containerized deployment of the MCP server through Docker, with environment variable configuration for Kibela authentication.
Why this server?
Enables runtime security analysis of containers, including process behavior monitoring, baselines, and container inventory management.
Why this server?
Supports containerized deployment of the Sharepoint MCP server with Docker, enabling portable and isolated execution
Why this server?
Enables management of Docker containers through the Sakura Cloud AppRun platform, allowing users to create, update, start, stop, and delete containerized applications with custom Docker images.
Why this server?
Enables containerized deployment of the MCP server with ready-made scripts for building, pushing, and deploying Docker images.
Why this server?
Integrates with Docker to run the WebSearch Crawler API service, which handles the actual web searches and retrieves results from the internet
Why this server?
Allows running the MCP server as a Docker container for easy deployment and usage.
Why this server?
Used for publisher release management and versioning of Netskope components, with capabilities to configure and deploy specific Docker tags for upgrade profiles.
Why this server?
Allows managing Docker containers through natural language commands, including operations such as creating, starting, stopping, and monitoring containers.
Why this server?
Supports containerized deployment with multi-platform support for Linux/amd64, Linux/arm64, and Linux/arm/v7, allowing easy configuration via environment variables or command line arguments.
Why this server?
Offers containerized deployment of the Illumio MCP server with configuration options for environment variables, volume mounting, and integration with Claude Desktop.
Why this server?
Supports hosting Ubuntu24 containers for creating stable environments to run AI models.
Why this server?
Supports integration with Docker for running Orthanc server in development and testing environments.
Why this server?
Provides containerized deployment with VNC streaming capabilities, allowing clients to view the automated browser activities
Why this server?
Provides official Docker images for containerized deployment of the MCP server
Why this server?
Enables easy deployment and management of the DevDocs service using Docker containers, with scripts for startup, monitoring, and maintenance
Why this server?
Supports running the MCP server over Docker with volume mounting capabilities
Why this server?
Provides Docker container deployment options for running the DBHub server with configurable database connections and transport options.
Why this server?
Recommended method for self-hosting Convex using Docker containers
Why this server?
Provides containerized deployment options with pre-built Docker images, supporting various configuration options for running the GitHub MCP Bridge alongside other services.
Why this server?
Supports containerized deployment of the MCP server through Docker, with instructions for building and configuring the Docker image.
Why this server?
Securely runs Python code in isolated Docker containers for safe execution of user and LLM-provided code.
Why this server?
Runs Python code in isolated Docker containers for secure execution, enabling safe installation of packages and execution of arbitrary Python code
Why this server?
Offers containerization through Docker for both backend and frontend components, allowing for consistent deployment environments.
Why this server?
Provides containerized deployment of the fashion recommendation system with separate containers for frontend, backend, and database services.
Why this server?
Supports containerized deployment with Docker, allowing the time server to run in isolated containers with proper port mapping.
Why this server?
Enables hosting the MCP server within a Docker container, specifically supporting Ubuntu 24 containers for deployment
Why this server?
Provides containerized deployment options with specific configurations for database connections from within Docker environments.
Why this server?
Offers containerized deployment options for running the Short Video Maker, including specialized images for CPU and NVIDIA GPU acceleration.
Why this server?
Enables containerized deployment of the Neo N3 MCP server, supporting isolated and consistent execution environments across different platforms.
Why this server?
Offers containerized deployment of the MCP server for easy integration with Claude Desktop
Why this server?
Provides containerization support for running the MCP Internet Speed Test server in an isolated environment, with Docker configuration for building and deploying the service.
Why this server?
Provides containerization for the filesystem MCP server, allowing secure access to specified directories through Docker mounts. The README includes Docker configuration examples.
Why this server?
Integrates with Docker for running Prometheus, Node Exporter, cAdvisor, and memory stress testing
Why this server?
Offers a Docker container for easy deployment and running of the Root Signals MCP Server.
Why this server?
Uses Docker containers to provide secure, isolated execution environments for code generated by LLMs
Why this server?
Provides containerization support for deploying the testing server in isolated environments
Why this server?
Offers containerized deployment of the MCP server through Docker, simplifying setup and ensuring consistent environments for Earth data analysis workflows.
Why this server?
Supports containerized deployment through Docker, with a pre-built image available from GitHub Container Registry, allowing portable and isolated execution of the MCP server.
Why this server?
Used to package and run HydraMCP in an isolated environment with necessary security tools bundled together
Why this server?
Provides a container image available on Docker's public registry for easy deployment and management.
Why this server?
Mentioned in usage examples for generating metadata related to containerization best practices and Docker containers specifically.
Why this server?
Enables running the MCP server in a containerized environment, supporting headless Chromium for browser automation tasks.
Why this server?
Provides containerized deployment of the MCP server, with support for mounting host directories as read-only or read-write volumes, allowing secure file operations from within Docker containers.
Why this server?
Uses Docker for container isolation as a security layer when executing tools on behalf of AI systems.
Why this server?
Enables interaction with Docker Desktop on Windows, providing tools for container lifecycle management, network management, and image management, allowing users to create, start, stop, and remove containers, manage Docker networks, and build, pull, push, and tag images.
Why this server?
Allows management of Docker with natural language, including composing containers, introspecting running containers, and managing Docker volumes, networks, and images.
Why this server?
Allows running the MCP server in a Docker container, with specific instructions for connecting to PostgreSQL databases when running Docker on macOS using host.docker.internal.
Why this server?
Offers integration with Docker Desktop Kubernetes clusters, allowing resource management and operations through the registered Docker Desktop cluster configuration.
Why this server?
Mentioned as a potential way to run the PlantUML server that the PlantUML renderer MCP interacts with
Why this server?
Provides containerized deployment of the CS2 RCON MCP server with configurable environment variables for server connection settings
Why this server?
Supports containerized deployment of the Task Manager MCP server, with configuration for building and running the server as a Docker container
Why this server?
Provides a Docker Compose setup to run the MCP server and client in a local environment for operating systems where Claude Desktop is not available
Why this server?
Offers containerized deployment of the healthcare MCP server, allowing for isolated and consistent running of the service across different environments.
Why this server?
Provides containerized execution of the pprof analyzer with bundled dependencies like Graphviz, enabling consistent profiling analysis environments across systems.
Why this server?
Provides containerization support for deploying the Nexonco MCP server as an alternative to local installation
Why this server?
Supports running the MCP server in Docker containers, allowing containerized deployment and access to object storage services.
Why this server?
Supports containerized deployment using Docker for running the OpenFGA MCP server in isolated environments
Why this server?
Supports containerization of the MCP server for deployment to Google Cloud Run, with the deployment script handling Docker container building and pushing to Google Container Registry.
Why this server?
Provides Docker images for containerized deployment with customizable environment variables
Why this server?
Supports running Superset in Docker containers, making it easy to set up and configure a local Superset instance for integration.
Why this server?
Enables running the Phalcon MCP server in a containerized environment, with specific instructions for integrating the Docker image with MCP-supporting applications.
Why this server?
Works with Docker containers for file access, featuring intelligent path handling that automatically translates paths between Docker and host environments.
Why this server?
Enables containerized deployment of the MCP server, supporting both SSE and stdio transport methods
Why this server?
Provides containerized deployment option with multi-architecture support for AMD64/x86_64 and ARM64, with security isolation and consistent environment configuration
Why this server?
Runs the MCP server in a lightweight container with health checks, and the client can spawn the Docker container for interactive sessions.
Why this server?
Provides containerized deployment and cross-platform publishing of the MCP server, supporting multiple architectures including Linux/amd64, Linux/arm64, and Linux/arm/v7.
Why this server?
Provides containerized deployment of the MCP server
Why this server?
Offers a containerized deployment option for the MCP server, allowing it to run in isolated containers for improved portability and consistent execution across different environments.
Why this server?
Allows hosting the MCP server in a Docker container using the provided Docker Compose configuration, making deployment more consistent and portable.
Why this server?
Provides containerization support for easy deployment of the MCP server, with Docker Compose configuration and proper security practices for running the container.
Why this server?
Provides containerized deployment of the PubTator MCP server with a ready-to-use Dockerfile for easy setup and isolation
Why this server?
Allows running the FalkorDB MCP server in a containerized environment with network configuration for connecting to FalkorDB instances.
Why this server?
Offers Docker deployment support with a pre-configured Docker image, allowing containerized execution of the IMDb MCP server with proper environment variable configuration.
Why this server?
Enables running the MCP server in a containerized environment with Docker, allowing for isolated and portable deployment of the MCP Everything test server.
Why this server?
Supports containerized deployment through Docker, allowing the MCP server to run in isolated environments with proper configuration.
Why this server?
Provides optional Docker-based code execution environment for the agents when executing code as part of conversations
Why this server?
Supports containerized deployment with Docker for isolation and easy setup, including configuration options for running the MCP server within Docker containers.
Why this server?
Provides containerized deployment of the R Econometrics MCP server, allowing for easier setup and isolation of the required R environment and dependencies.
Why this server?
Allows running PHP tests and other tools within Docker containers as part of the development workflow.
Why this server?
Supports containerized deployment of the MCP server through Docker, allowing for isolated and portable execution of the route analysis functionality.
Why this server?
Uses Docker volumes for persistent model caching and deployment of the vector search service
Why this server?
Supports containerized deployment using Docker, with specific container configurations for testing and development workflows.
Why this server?
Enables running the VOICEVOX MCP server in a containerized environment, with specific configurations for audio output in WSL2.
Why this server?
Supports containerized deployment of the MCP server through Docker, allowing configuration of database connection parameters and port mappings.
Why this server?
Executes code within isolated Docker containers for secure sandboxed environments, with support for Python, Go, and Node.js code execution and dependency management.
Why this server?
Built with containerization in mind, enabling deployment in isolated environments with a pre-built image available for multiple platforms.
Why this server?
Supports containerized deployment using Docker, with configuration options for both stdio and WebSocket transport methods.
Why this server?
Provides containerization support as indicated by the Docker-Ready badge, allowing deployment of the MCP server in Docker containers.
Why this server?
Offers deployment through Docker containers, making it easy to run the MCP server with proper environment configuration.
Why this server?
Supports containerization through Docker, enabling easy deployment and isolation of the MCP service.
Why this server?
Provides containerization for deployment to EC2 or other server environments using Docker Compose.
Why this server?
Provides Docker support for running the Kaltura MCP server through pre-built multi-architecture Docker images or building locally with Docker Compose.
Why this server?
Offers containerized deployment of the MCP server through Docker, with configurable implementation options.
Why this server?
Provides containerized deployment options for the Frontapp MCP server with included Dockerfile and multi-stage build process.
Why this server?
Provides containerized deployment of the MCP server with configurable environment variables for WebDAV connectivity and authentication.
Why this server?
Provides containerized deployment of the PI API MCP server, simplifying installation and configuration in various environments
Why this server?
The MCP server provides integration with Docker, allowing users to run the server in a containerized environment and integrate it with existing Crawlab Docker Compose setups.
Why this server?
Allows running the MCP server in a Docker container for containerized deployment.
Why this server?
Supports containerized deployment of both the MCP server and Neo4j database through Docker and docker-compose for simplified setup and management.
Why this server?
Enables building and deploying the Fledge MCP server using Docker containers, supporting deployment to Smithery.ai for enhanced scalability and availability.
Why this server?
Provides containerization and simplified deployment to EC2 or other server environments with included Docker configuration
Why this server?
Deep integration with Docker to execute code in isolated containers, manage container lifecycles, and install dependencies
Why this server?
Supports containerized deployment through Docker and Docker Compose, with configuration options for environment variables and volume mounting for logs.
Why this server?
Provides containerization support for easy deployment of the MCP server with configurable environment variables for connecting to SearXNG instances.
Why this server?
Provides containerization support for running the PostgreSQL database, Redis cache, MCP Server, and Web DApp as a complete system
Why this server?
Enables local deployment of the DigitalFate framework via Docker containers.
Why this server?
Enables running Deepseek language models within Docker containers for use with Claude Desktop
Why this server?
Used to run Qdrant vector database for local storage of document embeddings
Why this server?
Supports deployment as a Docker container for easy setup and integration with Claude Desktop
Why this server?
Provides a way to run the MCP Yahoo Finance server in a Docker container for more isolated deployment
Why this server?
Enables running arbitrary JavaScript code in isolated Docker containers with controlled CPU/memory limits. The server manages container lifecycle including creation, execution, and teardown.
Why this server?
Enables deployment of the MCP server in a containerized environment, with instructions provided for building and running the server as a Docker container
Why this server?
Offers containerized deployment options through Docker and Docker Compose, allowing for simple setup and consistent running environments across different systems.
Why this server?
Supports containerized deployment of the chatbot backend with Docker, including environment variable configuration.
Why this server?
Provides an isolated browser environment through Docker containerization
Why this server?
Provides containerized deployment of the MCP Codebase Insight server with support for environment variables and volume mounting for persistent storage of documentation, knowledge, and cache data.
Why this server?
Provides containerized deployment option for the MCP server
Why this server?
Provides a secure sandbox for executing code within isolated Docker containers, with resource limitations and security restrictions
Why this server?
Supports containerized deployment of the Lark MCP server through Docker, facilitating easy setup and consistent runtime environments
Why this server?
Provides containerization support for easy deployment of the MCP server, with both Docker and Docker Compose configuration options
Why this server?
Supports containerized deployment of the MCP server and its components, allowing for easier setup and deployment of the complete system.
Why this server?
Uses Docker to run the Qdrant vector database which stores the persistent memories created by the model.
Why this server?
Used to run Weaviate, a vector database for storing code analysis data via Docker Compose
Why this server?
Provides containerized deployment options with Docker integration for running the backlog manager as an isolated service
Why this server?
Provides Docker support for containerized deployment through Docker Compose, simplifying installation and environment setup.
Why this server?
Supports deployment as a Docker container, making it easy to run the MCP server in containerized environments with proper isolation and dependency management.
Why this server?
Provides containerized environment for running the Playwright MCP server, allowing integration with other services through Docker networks and environment variables for deployment flexibility.
Why this server?
Supports containerized deployment with Docker and Docker Compose configurations for seamless one-command deployment
Why this server?
Packaged as a lightweight Docker container with .env support for secure, repeatable deployment and usage.
Why this server?
Supports containerized deployment using Docker, with configuration options for environment variables and volume mounting to access local files.
Why this server?
Supports containerized deployment of the Project MCP server through Docker, allowing for isolated and portable execution of the project management environment.
Why this server?
Supports containerized deployment of the MCP server through Docker, allowing researchers to run the quantitative research knowledge graph management system in isolated environments.
Why this server?
Provides containerized deployment option for running the Daraja MCP server.
Why this server?
Supports running the server in a Docker container, with special configuration options for connecting to host databases on macOS
Why this server?
Supports containerized deployment using Docker, allowing the server to connect to PostgreSQL databases from within containers.
Why this server?
Supports containerized deployment of the qualitative research server through Docker images.
Why this server?
Provides containerized deployment option for the Student MCP Server, enabling portable and consistent environments across different systems.
Why this server?
Uses Docker and Docker Compose to manage Neo4j database instances, with preconfigured settings for ports, credentials, plugins, and health checks.
Why this server?
Mentioned as a planned feature to containerize the MCP server for easier deployment and management.
Why this server?
Provides containerized deployment of the MCP server through Docker, allowing for isolated and consistent execution environments.
Why this server?
Offers deployment through Docker containers, with support for environment variables and seamless integration with MCP configurations.
Why this server?
Enables containerized deployment of the service, with support for both standalone Docker and Docker Compose configurations.