MCPHub

0 serversUpdated Aug 28, 2026

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Searchable catalog of Model Context Protocol servers. Find tools that connect your AI assistant to the services and data you use.

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Docker MCP Toolkit

Official Docker MCP Toolkit for discovering, configuring, and running containerized MCP servers through Docker Desktop and the Docker MCP gateway.

0 starsUpdated Aug 28, 2026

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Overview

Model Context Protocol (MCP) is an open protocol that standardizes how AI applications access external tools and data sources. By connecting LLMs to local development tools, databases, APIs, and other resources, MCP extends their capabilities beyond their base training. The challenge is that running MCP servers locally creates operational friction. Each server requires separate installation and configuration for every application you use. You run untrusted code directly on your machine, manage updates manually, and troubleshoot dependency conflicts yourself. Configure a GitHub server for Claude, then configure it again for Cursor, and so on. Each time you manage credentials, permissions, and environment setup.

Installation

Installation instructions are not available yet.

Configuration

Configuration example is not available yet.

Capabilities

  • Browse the MCP catalog

    ask the assistant to list available servers from the Docker MCP Catalog using `list_servers`.

  • Inspect a server

    request details like version, description, and runtime configuration for a specific server with `get_server`.

  • Manage profiles

    create, list, or delete named server profiles for different projects via `create_profile`, `list_profiles`, and `delete_profile`.

  • Add servers to a profile

    attach catalog servers to a profile using `add_server_to_profile` so they're ready for AI clients to use.

  • Connect a client

    register an AI application like Claude Code or Cursor to a profile through `register_client`.

Tags

  • docker
  • devops
  • development

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