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Enables AI assistants to interact with Docker containers through safe, permission-controlled access to inspect, manage, and diagnose containers, images, and compose services with built-in timeouts and AI-powered analysis.

Enables AI assistants like Claude to manage Docker containers, images, and Docker Compose deployments through the Model Context Protocol. Provides secure container lifecycle management, image operations, and multi-host Docker server connections.

Enables natural language management of Docker containers, images, networks, and volumes with support for both local and remote Docker engines. Features automated container composition, debugging capabilities, and persistent data management through an intuitive conversational interface.

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

Enables AI assistants to manage cloud infrastructure through natural language by providing a unified interface to the Dokploy platform. Supports Docker containers, applications, databases, domains, monitoring, and deployment operations through conversational commands.

Provides complete control over Dokploy infrastructure with 463 tools for managing projects, applications, databases, and Docker containers. It enables users to deploy and configure their self-hosted PaaS resources directly through natural language.

Allows deployment of a Model Context Protocol server on Cloudflare Workers without authentication requirements, enabling integration with Claude Desktop and AI Playground for tool augmentation.

A minimal Model Context Protocol server that facilitates network-based client connections using Streamable HTTP transport. It provides a greeting tool and is optimized for consistent deployment across local environments, Docker, and Kubernetes.

Enables interaction with the Dreamhack wargame platform to fetch problem lists, download challenge files, and deploy them locally using Docker or Python for cybersecurity practice.

Enables AI agents to interact directly with the DUAL Web3 Operating System for minting tokens, managing templates, and executing blockchain actions. It provides over 60 tools for handling wallets, organizations, and ZK-rollup infrastructure natively via the Model Context Protocol.

A basic MCP server built with FastMCP framework that provides example tools for echoing messages and retrieving server information. Supports both stdio and HTTP transports with Docker deployment capabilities.

Enables comprehensive management of DuploCloud infrastructure, including tenants, services, hosts, databases, and storage. It provides tools for lifecycle operations on cloud resources like ECS tasks and S3 buckets through the Model Context Protocol.

Enables AI agents to manage infrastructure and deploy Docker services through EasyPanel using natural language commands. It supports full lifecycle management of services, deployments, and networks while facilitating automated scaling and assisted debugging.

Provides tools to query and calculate AWS EBS performance metrics from CloudWatch, including IOPS, throughput, and latency. It also enables users to manage snapshots and retrieve advanced diagnostic data like I/O utilization and burst balance.

Enables monitoring and control of EcoFlow Power Stations and devices through the Model Context Protocol. Users can manage battery levels, toggle AC/DC outputs, and configure charging settings across the DELTA and RIVER series via the EcoFlow API.

Provides access to UK Environment Agency's real-time flood monitoring data, enabling users to check flood warnings, monitor water levels and flow rates, and access historical measurements from monitoring stations across the UK.

Creates, validates, and fixes diagrams on Eraser.io using their API. Supports sequence diagrams, flowcharts, cloud architecture diagrams, and entity relationship diagrams with automatic syntax error correction.

Eric8900 MCP

MCP Servers, in one place

Enables protein sequence analysis and structure prediction by extracting ESM-2 embeddings and batch processing FASTA files via Docker. It provides tools for large-scale embedding extraction, job monitoring, and model management within an MCP-compatible environment.

A basic example of a serverless Model Context Protocol (MCP) implementation using Netlify Functions, allowing developers to run MCP services without managing traditional server infrastructure.